June 2023
2023 Government
Greenhouse Gas
Conversion Factors for
Company Reporting
Methodology Paper for Conversion Factors
Final Report
2
© Crown copyright 2023
This publication is licensed under the terms of the Open Government Licence v3.0 except where otherwise stated.
To view this licence, visit www.nationalarchives.gov.uk/doc/open-government-licence/ or write to the Information
Policy Team, The National Archives, Kew, London TW9 4DU, or email: psi@nationalarchives.gsi.gov.uk.
Any enquiries regarding this publication should be sent to GreenhouseGas.Statistics@beis.gov.uk.
This document has been produced by Rebekah Bramwell, Peter Brown, Fabio Galatioto, Dom Ingledew, Eirini
Karagianni, Joanna MacCarthy, Paddy Mullen, Charles Walker, Dan Willis, Jason Wong (Ricardo Energy &
Environment) and Billy Harris (WRAP) for the Department for Energy Security & Net Zero.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
3
Contents
Glossary ................................................................................................................................... 11
1. General Introduction ......................................................................................................... 14
Overview of major changes since the previous update ....................................................... 16
Conversion factors update frequency ................................................................................. 17
2. Fuel Emission Factors ...................................................................................................... 20
Section summary ................................................................................................................ 20
Summary of changes since the previous update ................................................................ 20
Direct Emissions ................................................................................................................. 21
Indirect/WTT Emissions from Fuels .................................................................................... 21
3. UK Electricity, Heat and Steam Emission Factors ............................................................ 27
Section summary ................................................................................................................ 27
Summary of changes since the previous update ................................................................ 27
Direct Emissions from UK Grid Electricity ........................................................................... 28
Indirect/WTT Emissions from UK Grid Electricity ................................................................ 37
Conversion factors for the Supply of Purchased Heat or Steam ......................................... 37
Summary of Method 1: 1/3: 2/3 Method (DUKES) .............................................................. 38
Calculation of CO
2
Emissions Factor for CHP Fuel Input, FuelMixCO
2
factor ..................... 38
Calculation of Non-CO
2
and Indirect/WTT Emissions Factor for Heat and Steam .............. 42
4. Refrigerant and Process Emission Factors ....................................................................... 44
Section summary ................................................................................................................ 44
Summary of changes since the previous update ................................................................ 44
Global Warming Potentials of Greenhouse Gases ............................................................. 44
Greenhouse Gases Listed in the Kyoto Protocol ................................................................ 44
Other Greenhouse Gases ................................................................................................... 45
5. Passenger Land Transport Emission Factors ................................................................... 46
Section summary ................................................................................................................ 46
Summary of changes since the previous update ................................................................ 46
Direct Emissions from Passenger Cars .............................................................................. 48
Conversion factors for Petrol and Diesel Passenger Cars by Engine Size ......................... 48
Hybrid, LPG and CNG Passenger Cars .............................................................................. 54
Plug-in Hybrid Electric and Battery Electric Passenger Cars (xEVs) .................................. 54
Conversion factors by Passenger Car Market Segments ................................................... 64
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
4
Direct Emissions from Taxis ............................................................................................... 66
Direct Emissions from Vans/Light Goods Vehicles (LGVs) ................................................. 67
Plug-in Hybrid Electric and Battery Electric Vans (xEVs) .................................................... 69
Direct Emissions from Buses .............................................................................................. 71
Direct Emissions from Motorcycles ..................................................................................... 73
Direct Emissions from Passenger Rail ................................................................................ 74
International Rail (Eurostar) ................................................................................................ 74
National Rail ....................................................................................................................... 75
Light Rail ............................................................................................................................. 75
London Underground .......................................................................................................... 77
Indirect/WTT Emissions from Passenger Land Transport ................................................... 77
Cars, Vans, Motorcycles, Taxis, Buses and Ferries............................................................ 77
Rail ...................................................................................................................................... 77
6. Freight Land Transport Emission Factors ......................................................................... 78
Section summary ................................................................................................................ 78
Summary of changes since the previous update ................................................................ 78
Direct Emissions from Heavy Goods Vehicles (HGVs) ....................................................... 78
Direct Emissions from Vans/Light Goods Vehicles (LGVs) ................................................. 81
Direct Emissions from Rail Freight ...................................................................................... 83
Indirect/WTT Emissions from Freight Land Transport......................................................... 83
Vans and HGVs .................................................................................................................. 83
Rail ...................................................................................................................................... 84
7. Sea Transport Emission Factors ....................................................................................... 85
Section summary ................................................................................................................ 85
Summary of changes since the previous update ................................................................ 85
Direct Emissions from RoPax Ferry Passenger Transport and ........................................... 85
freight .................................................................................................................................. 85
Direct Emissions from Other Marine Freight Transport ....................................................... 87
Indirect/WTT Emissions from Sea Transport ...................................................................... 87
8. Air Transport Emission Factors ......................................................................................... 88
Section summary ................................................................................................................ 88
Summary of changes since the previous update ................................................................ 88
Passenger Air Transport Direct CO
2
Emission Factors ....................................................... 89
Allocating flights into short- and long-haul: ......................................................................... 92
Taking Account of Freight ................................................................................................... 94
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
5
Taking Account of Seating Class Factors ........................................................................... 96
Freight Air Transport Direct CO
2
Emission Factors ............................................................. 97
Conversion factors for Dedicated Air Cargo Services ......................................................... 97
Conversion factors for Freight on Passenger Services ....................................................... 99
Average Conversion factors for All Air Freight Services ................................................... 100
Air Transport Direct Conversion factors for CH
4
and N
2
O ................................................. 100
Emissions of CH
4
.............................................................................................................. 101
Emissions of N
2
O .............................................................................................................. 101
Indirect/WTT Conversion factors from Air Transport ......................................................... 102
Other Factors for the Calculation of GHG Emissions ........................................................ 103
Great Circle Flight Distances ............................................................................................ 103
Non-CO
2
impacts and Radiative Forcing .......................................................................... 103
9. Bioenergy and Water ...................................................................................................... 108
Section summary .............................................................................................................. 108
Summary of changes since the previous update .............................................................. 108
General Methodology ........................................................................................................ 109
Water ................................................................................................................................ 109
Biofuels ............................................................................................................................. 109
Other biomass and biogas ................................................................................................ 111
10. Overseas Electricity Emission Factors ............................................................................ 113
Section summary .............................................................................................................. 113
Summary of changes since the previous update .............................................................. 113
Direct Emissions and Emissions resulting from Transmission and Distribution Losses from
Overseas Electricity Generation ....................................................................................... 113
Indirect/WTT Emissions from Overseas Electricity Generation ......................................... 114
11. Hotel Stay ....................................................................................................................... 116
Section summary .............................................................................................................. 116
Summary of changes since the previous update .............................................................. 116
Direct emissions from a hotel stay .................................................................................... 116
12. Material Consumption/Use and Waste Disposal ............................................................. 118
Section summary .............................................................................................................. 118
Summary of changes since the previous update .............................................................. 118
Emissions from Material Use and Waste Disposal............................................................ 119
Material Consumption/Use ................................................................................................ 119
Waste Disposal ................................................................................................................. 121
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
6
13. Fuel Properties ............................................................................................................... 123
Section summary .............................................................................................................. 123
Summary of changes since the previous update .............................................................. 123
General Methodology ........................................................................................................ 123
14. SECR kWh Conversion factors ....................................................................................... 125
Section summary .............................................................................................................. 125
Summary of changes since the previous update .............................................................. 126
General Methodology ........................................................................................................ 126
15. Homeworking .................................................................................................................. 127
Section summary .............................................................................................................. 127
General Methodology ........................................................................................................ 127
References ............................................................................................................................. 129
Appendix 1. Additional Methodological Information on the Material Consumption/Use and
Waste Disposal Factors ......................................................................................................... 136
1.1 Data Quality Requirements .................................................................................... 136
1.2 Data Sources ......................................................................................................... 137
1.3 Use of data below the set quality standard ............................................................ 137
Wood and Paper data ....................................................................................................... 138
Excluded Materials and Products ..................................................................................... 138
Greenhouse Gas Conversion factors ................................................................................ 143
Appendix 2. Updated full time series Electricity and Heat and Steam Factors .................... 145
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
7
Tables
Table 1: summary of conversion factors that are in AR4 or/and AR5 basis GWPs ........................ 18
Table 2: Related worksheets to the fuel conversion factors ........................................................... 20
Table 2: Liquid biofuels for transport consumption ......................................................................... 22
Table 3: Imports of LNG into the UK as a share of imports and net total natural gas supply .......... 24
Table 4: Basis of the indirect/WTT emissions factors for different fuels ......................................... 24
Table 5: Related worksheets to UK electricity and heat & steam emission factors ......................... 27
Table 6: Base electricity generation emissions data ...................................................................... 30
Table 7: Base electricity generation conversion factors (excluding imported electricity) ................. 33
Table 8: Base electricity generation emissions factors (including imported electricity) ................... 35
Table 9: Fuel types and associated emissions factors used in the determination of FuelMixCO
2
factor
...................................................................................................................................... 39
Table 10: Heat/Steam CO
2
emission factor for DUKES 1/3 2/3 method. ........................................ 41
Table 11: Related worksheets to passenger land transport emission factors ................................. 46
Table 13: DfT's Table BUS03a_km - Passenger kilometres on local bus services by metropolitan area
status and country: Great Britain ................................................................................... 47
Table 14: DfT's Table BUS03b - Average bus occupancy on local bus services by metropolitan area
status and country: Great Britain ................................................................................... 47
Table 12: Average CO
2
conversion factors and total registrations by engine size for 2005 to 2022 (based
on data sourced from SMMT) ........................................................................................ 49
Table 13: Average ‘real-world’ uplift for the UK applied to gCO
2
/km data ...................................... 50
Table 14: Summary of emissions reporting and tables for electric vehicle emission factors ........... 55
Table 15: xEV car models and their allocation to different market segments ................................. 56
Table 16: Summary of key data elements, sources and key assumptions used in the calculation of GHG
conversion factors for electric cars and vans ................................................................. 62
Table 17: Average car CO
2
conversion factors and total registrations by market segment for 2006 to
2022 (based on data sourced from SMMT) .................................................................... 65
Table 18: New conversion factors for vans for the 2023 GHG Conversion factors ......................... 69
Table 19: xEV van models and their allocation to different size categories .................................... 70
Table 20: Key assumptions used in the calculation of CO
2
emissions from Urea (aka ‘AdBlue’) use71
Table 21: Conversion factors for buses for the 2023 GHG Conversion factors .............................. 72
Table 22: Summary dataset on CO
2
emissions from motorcycles based on detailed data provided by
Clear (2008) .................................................................................................................. 73
Table 23: GHG emission factors, electricity consumption and passenger km for different tram and light
rail services ................................................................................................................... 76
Table 24 Related worksheets to freight land transport emission factors ........................................ 78
Table 25: Change in CO
2
emissions caused by +/- 50% change in load from the average loading factor
of 50% ........................................................................................................................... 79
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
8
Table 26: Typical van freight capacities and estimated average payload ....................................... 82
Table 27: Utilisation of vehicle capacity by company-owned LGVs: annual average 2003 2005
(proportion of total vehicle kilometres travelled) ............................................................. 82
Table 28: Related worksheets to sea transport emission factors ................................................... 85
Table 29: Assumptions used in the calculation of ferry emission factors ........................................ 86
Table 30: Related worksheets to air transport emission factors ..................................................... 88
Table 31: Assumptions used in the calculation of revised average CO
2
conversion factors for passenger
flights for 2023 ............................................................................................................... 90
Table 32: Illustrative short- and long- haul flight distances from the UK ......................................... 93
Table 33: CO
2
conversion factors for alternative freight allocation options for passenger flights based on
2023 GHG Conversion factors ....................................................................................... 94
Table 34: Final average CO
2
conversion factors for passenger flights for 2023 GHG Conversion factors
(excluding distance and RF uplifts) ................................................................................ 95
Table 35: CO
2
conversion factors by seating class for passenger flights for 2023 GHG Conversion
factors (excluding distance and RF uplifts) .................................................................... 96
Table 36: Revised average CO
2
conversion factors for dedicated cargo flights for 2023 GHG Conversion
factors (excluding distance and RF uplifts) .................................................................... 97
Table 37: Assumptions used in the calculation of average CO
2
conversion factors for dedicated cargo
flights for the 2023 GHG Conversion factors .................................................................. 98
Table 38: Air freight CO
2
conversion factors for alternative freight allocation options for passenger flights
for 2023 GHG Conversion factors (excluding distance and RF uplifts) ......................... 100
Table 39: Final average CO
2
conversion factors for all air freight for 2023 GHG Conversion factors
(excluding distance and RF uplifts) .............................................................................. 100
Table 40: Total emissions of CO
2
, CH
4
and N
2
O for domestic and international aircraft from the UK GHG
inventory for 2021 ........................................................................................................ 101
Table 41: Final average CO
2
, CH
4
and N
2
O conversion factors for all air passenger transport for 2023
GHG Conversion factors (excluding distance and RF uplifts) ...................................... 101
Table 42: Final average CO
2
, CH
4
and N
2
O conversion factors for air freight transport for 2023 GHG
Conversion factors (excluding distance and RF uplifts)................................................ 102
Table 43: Impacts of radiative forcing according to Lee et al., (2021) .......................................... 104
Table 44: Aviation non-CO
2
emissions equivalence metrics for GWP, GTP and GWP* taken from Lee et
al. (2021) ..................................................................................................................... 105
Table 45: Related worksheets for bioenergy and water emission factors ..................................... 108
Table 46: Fuel lifecycle GHG Conversion factors for biofuels ...................................................... 110
Table 47: Fuel sources and properties used in the calculation of biomass and biogas emission factors
.................................................................................................................................... 112
Table 48: Distances and transportation types used in EF calculations ......................................... 121
Table 49: Distances used in the calculation of emission factors .................................................. 122
Table 50: Related worksheets to SECR kWh emissions factors .................................................. 125
Table 51: Base electricity generation emissions data most recent datasets for time series ....... 145
Table 52: Base electricity generation conversion factors (excluding imported electricity) – fully consistent
time series dataset ...................................................................................................... 147
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
9
Table 53: Base electricity generation emissions factors (including imported electricity) fully consistent
time series dataset ...................................................................................................... 150
Table 54: Fully consistent time series for the heat/steam and supplied power carbon factors as
calculated using DUKES method ................................................................................. 152
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
10
Figures
Figure 1: Time series of the mix of UK electricity generation by type ............................................. 29
Figure 2: Updated GCF 'Real world' uplift values for the UK based on (ICCT, 2017) ..................... 52
Figure 3: Comparison of 'Real world' uplift values from various sources (ICCT, 2017) .................. 53
Figure 4: Illustration of the relationship of electric range to average electric share of total km for PHEVs
assumed in the calculations ........................................................................................... 64
Figure 5: Boundary of material consumption data sets ................................................................ 120
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
11
Glossary
Abbreviation Definition
ANPR Automatic Number Plate Recognition
BEV Battery electric vehicle
CAA Civil Aviation Authority
CBS National Bureau for Statistics in the Netherlands
CEF Carbon emission factor
CH
4
Methane
CHP Combined Heat and Power
CHPQA Combined Heat and Power Quality Assurance
CNG Compressed natural gas
CO
2
Carbon dioxide
DfT Department for Transport
DUKES Digest of UK Energy Statistics
EEA European Environment Agency
EF Emission factor
ETS Emissions Trading System
FAME Fatty Acid Methyl Ester
GCV Gross calorific value
GHG Greenhouse gas
GVW Gross vehicle weight
GWP Global Warming Potential
HGVs Heavy goods vehicles
IPCC Intergovernmental Panel on Climate Change
LCA Life cycle assessment
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
12
LGVs Light goods vehicles
LPG Liquefied petroleum gas
MTBE Methyl tert-butyl ether
NAEI National Atmospheric Emissions Inventory
NCV Net calorific value
NEDC New European Driving Cycle
N
2
O Nitrous oxide
ORR Office of Rail and Road
PHEV Plug-in hybrid electric vehicle
RF Radiative forcing
RoPax Roll on/roll off a passenger
RTE French transmission system operator
RTFO Renewable Transport Fuel Obligation
RW Real-world
SEAI Sustainable Energy Authority of Ireland
SECR Streamlined Energy and Carbon Reporting
SMMT Society of Motor Manufacturers and Traders
T&D Transmission & Distribution
TfL Transport for London
TTW Tank-To-Wheel (i.e. direct emissions at the point of use)
UK GHGI UK’s Greenhouse Gas Inventory
UNFCCC United Nations Framework Convention on Climate Change
WLTP Worldwide Harmonised Light Vehicle Test Procedure
WTT Well-To-Tank (i.e. upstream emissions from the production of fuel or electricity)
WTW Well-To-Wheel (= Well-To-Tank + Tank-To-Wheel)
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
13
xEV Generic term for battery electric vehicles (BEV), plug-in hybrid electric vehicles
(PHEV), range-extended electric vehicles (REEV) and fuel cell electric vehicles
(FCEV)
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
14
1. General Introduction
1.1. Greenhouse gases (GHG) can be measured by recording emissions at source,
by continuous emissions monitoring or by estimating the amount emitted using
activity data (such as the amount of fuel used) and applying relevant conversion
factors (e.g. calorific values, emission factors, etc.).
1.2. These conversion factors allow organisations and individuals to calculate GHG
emissions from a range of activities, including energy use, water consumption,
waste disposal and recycling, and transport activities. For instance, a conversion
factor can be used to calculate the amount of GHG emitted as a result of burning
a particular quantity of oil in a heating boiler.
1.3. Chapters 2 to 14 present the conversion factors for a single type of emissions-
releasing activity (for example, using electricity or driving a passenger vehicle).
These emissions-releasing activities are categorised into three groups known as
scopes. Each activity is listed as either Scope 1, Scope 2 or Scope 3.
a) Scope 1 (direct) emissions are those from activities owned or controlled by your
organisation. Examples of Scope 1 emissions include emissions from
combustion in owned or controlled boilers, furnaces and vehicles; and emissions
from chemical production in owned or controlled process equipment.
b) Scope 2 (energy indirect) emissions are those released into the atmosphere that
is associated with the consumption of purchased electricity, heat, steam and
cooling. These indirect emissions are a consequence of an organisation’s
energy use but occur at sources the organisation does not own or control.
c) Scope 3 (other indirect) emissions are a consequence of your actions that occur
at sources an organisation does not own or control and are not classed as
Scope 2 emissions. Examples of Scope 3 emissions are business travel by
means not owned or controlled by an organisation, waste disposal, materials or
fuels that an organisation purchases. Deciding if emissions from a vehicle, office
or factory that you use are Scope 1 or Scope 3 may depend on how
organisations define their operational boundaries. Scope 3 emissions can be
from activities that are upstream or downstream of an organisation. More
information on Scope 3 and other aspects of reporting can be found in the
Greenhouse Gas Protocol Corporate Standard
1
.
1.4. The 2023 UK Government Greenhouse Gas Conversion factors for Company
Reporting
2
(hereafter the 2023 UK GHG Conversion factors) represent the
current official set of UK government conversion factors. These factors are also
used in a number of different policies.
1
https://ghgprotocol.org/corporate-standard
2
Previously known as the ‘Guidelines to Defra/DECC’s GHG Conversion factors for Company Reporting’.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
15
1.5. The UK GHG Conversion Factors have been developed as part of the NAEI
(National Atmospheric Emissions Inventory) contract, managed by Ricardo
Energy & Environment, which includes the:
a) UK Air Quality Pollutant Inventory (AQPI)
b) UK Greenhouse Gas Inventory (GHGI)
1.6. The UK GHGI for 2021 (Ricardo Energy & Environment, 2023) is available at:
https://unfccc.int/documents/627789.
1.7. Values for the non-carbon dioxide (CO
2
) GHGs, methane (CH
4
) and nitrous
oxide (N
2
O), are presented as CO
2
equivalents (CO
2
e), using Global Warming
Potential (GWP) factors from the Intergovernmental Panel on Climate Change
(IPCC)’s fifth assessment report (IPCC, 2014)(GWP for CH
4
= 28, GWP for N
2
O
= 265). This is consistent with reporting under the United Nations Framework
Convention on Climate Change (UNFCCC) and consistent with the UK GHGI,
upon which the 2023 GHG Conversion Factors are based. Although the IPCC
has prepared a newer version, the methods have not yet been officially accepted
for use under the UNFCCC.
1.8. The 2023 GHG Conversion Factors are for use with activity data that falls
entirely or mostly within 2023. The factors will continue to be improved and
updated on an annual basis with the next publication in June 2024. Further
information about the 2023 GHG Conversion factors together with previous
methodology papers is available at:
https://www.gov.uk/government/collections/government-conversion-factors-for-
company-reporting.
1.9. It is important to note that the primary aim of this methodology paper is to
provide information on the methodology used in creating the UK Government
GHG Conversion factors for Company Reporting. This report provides the
methodological approach, the key data sources and the assumptions used to
define the conversion factors provided in the 2023 GHG Conversion factors. The
report aims to expand and complement the information already provided in the
data tables themselves. However, it is not intended to be an exhaustively
detailed explanation of every calculation performed (this is not
practical/possible), nor is it intended to provide guidance on the practicalities of
reporting for organisations. Rather, the intention is to provide an overview with
key information so that the basis of the conversion factors provided can be better
understood and assessed.
1.10. Detailed guidance on how the conversion factors provided should be used is
contained in the “Introduction” worksheet of the 2023 GHG Conversion factors
set. This guidance must be referred to before using the conversion factors and
provides important context for the description of the methodologies presented in
this report and in the table footnotes.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
16
Overview of major changes since the previous update
1.11. Major changes and updates in terms of methodological approach from the 2023
update are summarised below. All other updates are essentially revisions of the
previous year's data based on new/improved data whilst using existing
calculation methodologies (i.e. using a similar methodological approach as for
the 2022 update):
a) In the 2023 update, factors for development petrol and diesel, and avtur
(renewable) have been added; new fuels are reported if they are contributing
more than 1% to the supply.
b) For the 2023 update for refrigerants, previously nominal estimated GWPs
presented in the 2014 EU F-gas regulations for some hydrocarbons have been
replaced with properly assessed IPCC assessment values.
c) The methodology for estimating the UK for water supply and water treatment
factors has been improved including additional data submitted by the UK water
suppliers. This has been done using actual volume of wastewater treated and
drinking water supplied by water companies together with data reported in the
water companies' Carbon Accounting Workbooks (CAW).
d) In the 2023 update, GWPs used in the calculation of CO
2
e are based on the
Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report
(AR5) over a 100-year period so that the Conversion Factors are consistent with
current national and international reporting requirements. For the direct
emissions factors, this simply involved converting the individual factors for CH
4
and N
2
O to use the AR5 GWPs rather than the AR4 values. For the indirect
emissions factors, in most cases they are based on CO
2
e values from studies
that encapsulate multiple GHGs. In cases where the data on the individual
GHGs were given in the studies, those values were converted to AR5 as per the
direct factors. In some cases, however, the individual gas data was not available
and as such these factors have been updated to AR5 by using other studies as
proxies. These details are covered in “summary of changes since the previous
update” in their sections.
e) The European Environment Agency (EEA) no longer provides new UK vehicle
data which was previously used in calculating the factors from LGVs and xEVs.
For the 2023 update, the 2021 new registrations numbers of UK LGVs and xEVs
by vehicle models have been obtained from the UK Department for Transport
(DfT). Vehicle models’ specific data such as CO
2
emission, mass, and capacity
for individual models were assumed to have remained the same since the
previous update, and these are obtained from the previous version of the EEA
database (EEA, 2021b), which is the latest year that contains UK data.
f) The UK GHG Conversion Factors cover also the period when national and
regional measures were introduced to prevent and reduce the global spread of
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
17
coronavirus (COVID-19). Transport trends have been affected by these
measures which can be seen in DfT's statistics used to derive these factors.
Passenger kilometres and thus occupancy levels for certain modes of transport
(buses, cars, vans, rail, air) have significantly dropped in 2020 and they didn't go
back to pre-COVID levels in 2021 too. Because for the aviation sector it will take
longer to recover to pre-COVID levels, it was decided to update the 2023 factors
using the actual 2021 load factors whereas for the rest transport sectors, it was
decided that pre-COVID occupancy levels would be retained for the years 2020
and 2021.
g) The multiplier that is applied to account for the non-CO
2
climate change effects
of aviation has been revised downwards to 1.7 In line with the latest scientific
evidence. Other changes to the aviation factors result primarily from the reduced
load factors (a consequence of the COVID-19 pandemic) rather that
methodological changes.
Conversion factors update frequency
1.12. The scope of the conversion factors has expanded over time (mainly due to the
addition of new factors and an increased QA burden). In light of this, a risk-based
approach has been adopted which focuses on delivering accurate conversion
factors for high-emitting UK sources that vary over time, and reflect changes in
key sources for most companies, including electricity, natural gas, waste
management, road transport fuels and fleet. However, less focus has been
invested on conversion factors for minor sources and minor pollutants, where no
or little new reference data exists and / or where there is little variation over time.
In these areas conversion factor update frequency reflects the level of risk
associated with retaining an historical value.
1.13. The conversion factors for high-emitting UK sources vary over time, reflect
changes in key sources for most companies and are therefore updated annually
or periodically. In this latest release, the Conversion Factors that are updated to
reflect latest UK evidence (for example on fuel mix, transport fleet, vehicle
utilisation) include:
Fuels: Natural Gas, Diesel, Petrol, Coal, CNG and LNG
Bioenergy
Refrigerants
Electricity use
Heat and Steam
3
Passenger vehicles, delivery vehicles, and business travel: Cars, HGVs, LGVs,
xEVs & Buses
Aviation
4
3
Heat & Steam factors are scheduled to be updated in the 2023 and 2025 Conversion Factors publications.
4
Aviation factors are scheduled to be updated in the 2023 and 2025 Conversion Factors publications.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
18
Water Supply and Water Treatment
5
Waste management
Outside of scopes
6
1.14. Conversion Factors that have been held constant from the 2022 release include:
Homeworking (held constant but aligned with AR5 GWPs values)
Hotel stay
1.15. Conversion Factors that have been held constant since the 2021 release (they
were in the AR4 basis) are now aligned with AR5 GWPs:
All methane and nitrous oxide CFs, other than those associated with waste
management and aviation
Fuels: butane, LPG, other petroleum gas, propane, aviation spirit, aviation
turbine fuel, burning oil, gas oil, fuel oil, lubricants, naphtha, processed fuel oils
- residual oil, processed fuel oils - distillate oil, refinery miscellaneous, waste
oils, marine gas oil, marine fuel oil, coking coal, petroleum coke
Passenger vehicles, business travel - land, sea: taxis, motorcycles, rail,
shipping
Well-to-Tank factors
7
1.16. The table below shows a summary of which factors are still in an AR4 basis and
which have been aligned to AR5 GWPs. These details are covered in “summary
of changes since the previous update” in their sections.
Table 1: summary of conversion factors that are in AR4 or/and AR5 basis GWPs
In AR4 basis In AR5 basis
Fuel
WTT Fuel
UK electricity
Transmission & Distribution
WTT UK electricity
WTT Transmission &
Distribution
Heat & Steam
WTT Heat & Steam
5
Water Supply & Water Treatment factors are to be updated only when new data is available. This year in 2023 the
factors are fully updated.
6
The UK electricity out of scopes factor remained constant from the 2022 release as part of the factors update
frequency arrangement.
7
WTT Bioenergy factors are still based on a AR4 basis.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
19
In AR4 basis In AR5 basis
Refrigerant and Processes
8
Passenger Land Transport
WTT Passenger Land
Transport
Freight Land Transport
WTT Freight Land Transport
Sea Transport
WTT Sea Transport
Air Transport
WTT Air Transport
Bioenergy
WTT Bioenergy
Water Supply & Treatment
Hotel Stay
Material Use
Waste Disposal
Homeworking
8
For Refrigerants & other process gases, almost all values have been updated to use AR5 GWPs (and where AR5
values were not available, but AR6 values were, AR6 GWPs were used).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
20
2. Fuel Emission Factors
Section summary
2.1. The fuels conversion factors should be used for primary fuel sources combusted
at a site or in an asset owned or controlled by the reporting organisation. Well-to-
tank (WTT) factors should be used to account for the upstream Scope 3
emissions associated with extraction, refining and transportation of the raw fuel
sources to an organisation’s site (or asset), prior to their combustion.
2.2. The fuel properties can be used to determine the typical calorific values/densities
of the most common fuels. The fuel properties should be utilised to change units
of energy, mass, volume, etc. into alternative units; this is particularly useful
where an organisation is collecting data in units of measure that do not have a
fuel conversion factor that can be directly used to determine a carbon emission
total. where the related worksheets to fuel conversion factors are available in the
online spreadsheets of the UK GHG Conversion factors.
2.3. Table 1 shows where the related worksheets to fuel conversion factors are
available in the online spreadsheets of the UK GHG Conversion factors.
Table 2: Related worksheets to the fuel conversion factors
Worksheet name Full set Condensed set
Fuels Y Y
WTT fuels Y N
Fuel properties Y Y
Conversions Y Y
Summary of changes since the previous update
2.4. In the 2023 update the direct and indirect conversion factors for fuels have been
updated to use the AR5 global warming potentials (GWPs). For the direct
factors, this simply involved converting the individual factors for CH
4
and N
2
O to
use the AR5 GWPs rather than the AR4 values. For the indirect factors, in most
cases they are based on CO
2
e values from studies that encapsulate multiple
GHGs. In cases where the data on the individual GHGs were given in the
studies, those values were converted to AR5 as per the direct factors. In many
cases however, the individual gas data was not available and as such these
factors have been updated to AR5 by using other studies as proxies. This
involved finding other studies that provide individual gas data and converting
those values to AR5 and using the change observed to scale the AR4 values
from the studies we previously used (the fuels scaled in this way are: Natural
Gas, CNG, LNG, Petrol, and Diesel).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
21
Direct Emissions
2.5. Fuel conversion factors for direct emissions presented in the 2023 GHG
Conversion factors are based on the conversion factors used in the UK GHGI for
2021 (Ricardo Energy & Environment, 2023).
2.6. The CO
2
emissions factors are based on the same factors used in the UK GHGI
and are essentially independent of application as they assume that all fuel is fully
oxidised and combusted. These factors have been updated for natural gas, coal,
petrol and diesel to be in line with the latest UK GHGI. Emissions of CH
4
and
N
2
O can vary to some degree for the same fuel depending on the use (e.g.
conversion factors for gas oil used in rail, shipping, non-road mobile machinery
or different scales/types of stationary combustion plants can all be different). The
figures for fuels in the 2023 GHG Conversion factors are based on an activity-
weighted average of all the different CH
4
and N
2
O conversion factors from the
2021 GHGI.
2.7. The majority of conversion factors from the GHGI are on a net energy basis
(t/TJ), and have been converted into different energy, volume and mass based
units using the information on Gross and Net Calorific Values (CV) (see definition
of Gross CV and Net CV in the footnote below
9
) used in the GHGI or for some
fuels, BEIS’s Digest of UK Energy Statistics (DUKES) (BEIS, 2022).
2.8. There are three tables in the 2023 GHG Conversion factors, the first of which
provides conversion factors for gaseous fuels, the second for liquid fuels and the
final table provides the conversion factors for solid fuels.
2.9. When making calculations based on energy use, it is important to check (e.g.
with your fuel supplier) whether these values were calculated on a Gross CV or
Net CV basis and use the appropriate factor. Natural gas consumption figures
quoted in kilowatt hours (kWh) by suppliers in the UK are generally calculated
(from the volume of gas used) on a Gross CV basis (National Grid, 2021).
Therefore, the emission factor for energy consumption on a Gross CV basis
should be used by default for calculation of emissions from natural gas in kWh,
unless your supplier specifically states they have used Net CV basis in their
calculations instead.
2.10. When using the direct conversion factor for aviation turbine fuel, applying a 1.7
multiplier to the CO
2
is applicable to account for the radiative forcing effects of
emissions at altitude. Further explanation of this is provide in section 8.41.
Indirect/WTT Emissions from Fuels
2.11. These fuel lifecycle emissions (also sometimes referred to as ‘Well-To-Tank’, or
simply WTT, emissions usually in the context of transport fuels) are the
emissions ‘upstream’ from the point of use of the fuel. They result from the
9
Gross CV or higher heating value (HHV) is the CV under laboratory conditions. Net CV or lower heating value (LHV)
is the useful calorific value in typical real-world conditions (e.g. boiler plant). The difference is essentially the latent
heat of the water vapour produced (which can be recovered in laboratory conditions).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
22
extraction, transport, refining, purification or conversion of primary fuels to fuels
for direct use by end-users and the distribution of these fuels. They are classed
as Scope 3 according to the GHG Protocol.
2.12. For the upstream conversion factors relating to diesel, petrol, kerosene, natural
gas, CNG, and LNG, data are taken from a study by Exergia (Exergia et al.,
2015); please refer to Table 4 for definitions of acronyms. As the Exergia report
(Exergia et al., 2015) does not estimate upstream emissions for other fuels the
JEC Well-To-Wheels study is used for coal, LPG, and lubricants; data are taken
from (JEC WTW v5, 2020) as this is the most recent update for this source. Data
for naphtha is taken from an older version of the JEC report (JEC WTW v4a,
2014) because it is not present in the most recent update.
2.13. For fuels covered by the 2023 GHG Conversion factors where no fuel lifecycle
emission factor was available in either source, these were estimated based on
similar fuels, according to the assumptions in Table 4.
2.14. WTT emissions for petrol, diesel and kerosene in the Exergia study (Exergia et
al., 2015), used within the 2023 GHG Conversion factors set, are based on:
Detailed modelling of upstream emissions associated with 35 crude oils used in
EU refining, which accounted for 88% of imported oil in 2012.
Estimates of the emissions associated with the transport of these crude oils to
EU refineries by sea and pipeline, based on the location of ports and refineries.
Emissions from refining, modelled on a country by country basis, based on the
specific refinery types in each country. An EU average is then calculated based
on the proportion of each crude oil going to each refinery type.
An estimate of emissions associated with imported finished products from
Russia and the US.
2.15. Conversion factors are also calculated for diesel as supplied at public and
commercial refuelling stations, by factoring in the WTT component due to
biodiesel supplied in the UK as a proportion of the total supply of diesel and
biodiesel (4.92% by unit volume, 4.58% by unit energy see Table 2). These
estimates have been made based on the Department for Transport Renewable
Fuel Statistics (DfT, 2023).
2.16. Conversion factors are also calculated for petrol as supplied at public and
commercial refuelling stations, by factoring in the bioethanol supplied in the UK
as a proportion of the total supply of petrol and bioethanol (7.62% by unit
volume, 5.03% by unit energy see Table 2). These estimates have also been
made based on Department for Transport Renewable Fuel Statistics (DfT, 2023).
Table 3: Liquid biofuels for transport consumption
Total Sales, millions of litres Biofuel % Total Sales
Biofuel Conventional Fuel
per unit
mass
per unit
volume
per unit
of energy
Diesel/Biodiesel 1,279 24,691 5.26% 4.92% 4.58%
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
23
Total Sales, millions of litres Biofuel % Total Sales
Biofuel Conventional Fuel
per unit
mass
per unit
volume
per unit
of energy
Petrol/Bioethanol 1,093 13,243 8.10% 7.62% 5.03%
Source: Department for Transport, Table RTFO 01. Data used here is from the Renewable fuel statistics 2022 Third provisional
tables
2.17. Emissions for natural gas, LNG and CNG, used within the 2023 GHG
Conversion factors, are based on (Exergia et al., 2015):
a) Estimates of emissions associated with supply in major gas producing
countries supplying the EU. These include both countries supplying piped gas
and countries supplying LNG.
b) The pattern of gas supply for each Member State (based on IEA data for
natural gas supply in 2012).
c) Combining the information on emissions associated with sources of gas, with
the data on the pattern of gas supply for each Member State, including the
proportion of LNG that is imported.
d) For parts of the natural gas supply chain which occur in the UK (transmission
and distribution and dispensing of CNG), data from DUKES (BEIS, 2022) is
used to update the emissions for these activities estimated in Exergia.
2.18. The methodology developed allows for the value calculated for gas supply in the
UK to be updated annually This allows changes in the sources of imported gas,
particularly LNG, to be reflected in the emissions value.
2.19. Information on quantities and source of imported gas are available annually from
DUKES
10
(BEIS, 2022a) and can be used to calculate the proportion of gas in
UK supply coming from each source. These can then be combined with the
emissions factors for gas from each source from the EU study (Exergia et al.,
2015), to calculate a weighted emissions factor for UK supply.
2.20. The methodology for calculating the WTT conversion factors for natural gas and
CNG is different to the other fuels as it considers the increasing share of UK gas
supplied via imports of LNG (which have a higher WTT emission factor than
conventionally sourced natural gas) in recent years. Table 3 provides a summary
of the information on UK imports of LNG and their significance compared to other
sources of natural gas used in the UK grid. Small quantities of imported LNG are
now re-exported, so a value for net imports is used in the methodology. The
figures in Table 3 have been used to calculate the revised figures for Natural
Gas and CNG WTT conversion factors provided in Table 4 below.
10
From Table 4.1 Commodity balances for natural gas and Table 4.5 Natural gas imports and exports, DUKES 2022
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
24
Table 4: Imports of LNG into the UK as a share of imports and net total natural gas supply
Year
LNG % of total natural
gas imports
(1)
Net Imports as % total
UK
supply of natural
gas
(2)
LNG Imports as %
total UK supply of
natural gas
2011 46.0% 43.7% 29.5%
2012 27.1% 49.2% 17.5%
2013 19.1% 51.7% 12.1%
2014 26.0% 46.3% 15.9%
2015 30.2% 43.4% 18.8%
2016 21.4% 48.2% 12.7%
2017 13.5% 46.7% 8.0%
2018 14.8% 48.0% 8.6%
2019 38.0% 49.1% 22.7%
2020 41.8% 45.6% 24.7%
2021 28.5% 57.5% 18.8%
Source: DUKES 2022, (1) Table 4.5 - Natural gas imports and exports; (BEIS, 2022) and (2) Table 4.1 - Commodity balances
2.21. The final combined conversion factors, presented as kilograms of carbon dioxide
equivalents per gigajoule on a net calorific value basis (kgCO
2
e/GJ, Net CV
basis), are listed in Table 4. These include WTT emissions of CO
2
, N
2
O and CH
4.
These are converted into other units of energy (e.g. kWh, Therms) and to units of
volume and mass using the default Fuel Properties and Unit Conversion factors
also provided in the 2023 GHG Conversion factors alongside the emission factor
data tables.
Table 5: Basis of the indirect/WTT emissions factors for different fuels
Fuel
Indirect/WTT EF
(kgCO
2
e/GJ, Net CV
basis)
Source of
Indirect/WTT
Emission Factor
Assumptions
Aviation Spirit 18.28 Estimate Similar to petrol
Aviation turbine fuel 15.07
Exergia, EM Lab and
COWI, 2015
Emission factor for
kerosene
Burning oil 15.07 Estimate
Same as Kerosene,
as above
Butane 7.60 Estimate Same as LPG
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
25
Fuel Indirect/WTT EF
(kgCO
2
e/GJ, Net CV
basis)
Source of
Indirect/WTT
Emission Factor
Assumptions
CNG 11.66
Exergia, EM Lab and
COWI, 2015
Factors in UK %
share LNG imports
Coal (domestic) 16.46 JEC WTW v5 (2020)
Emission factor for
coal
Coal (electricity
generation)
16.46 JEC WTW v5 (2020)
Emission factor for
coal
Coal (industrial) 16.46 JEC WTW v5 (2020)
Emission factor for
coal
Coal (electricity
generation - home
produced coal only)
16.46 JEC WTW v5 (2020)
Emission factor for
coal
Coking coal 16.46 Estimate
Assume same as
factor for coal
Diesel (100% mineral
diesel)
17.47
Exergia, EM Lab and
COWI, 2015
Fuel oil 17.47 Estimate
Assume same as
factor for diesel
Gas oil 17.47 Estimate
Assume same as
factor for diesel
LPG 7.60 JEC WTW v5 (2020)
LNG 20.04
Exergia, EM Lab and
COWI, 2015
Lubricants 27.30 JEC WTW v5 (2020)
Marine fuel oil 17.47 Estimate
Assume same as
factor for fuel oil
Marine gas oil 17.47 Estimate
Assume same as
factor for gas oil
Naphtha 14.10
JEC WTW v4a
(2014)
Natural gas 9.30
Exergia, EM Lab and
COWI, 2015
Factors in UK %
share LNG imports
Other petroleum gas 6.50 Estimate
Based on LPG figure,
scaled relative to
direct emissions ratio
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
26
Fuel Indirect/WTT EF
(kgCO
2
e/GJ, Net CV
basis)
Source of
Indirect/WTT
Emission Factor
Assumptions
Petrol (100% mineral
petrol)
18.28
Exergia, EM Lab and
COWI, 2015
Petroleum coke 11.85 Estimate
Based on LPG figure,
scaled relative to
direct emissions ratio
Processed fuel oils -
distillate oil
26.39 Estimate
Based on lubricants
figure
Processed fuel oils -
residual oil
26.45 Estimate
Based on lubricants
figure
Propane 7.60 Estimate Same as LPG
Refinery
miscellaneous
8.55 Estimate
Based on LPG figure,
scaled relative to
direct emissions ratio
Waste oils
26.46
Estimate
Based on lubricants
figure
Notes:
(1) Burning oil is also known as kerosene or paraffin used for heating systems. Aviation Turbine fuel is a similar kerosene fuel
specifically refined to a higher quality for aviation.
(2) CNG = Compressed Natural Gas is usually stored at 200 bar in the UK for use as an alternative transport fuel.
(3) Fuel oil is used for stationary power generation. Also, use this emission factor for similar marine fuel oils.
(4) Gas oil is used for stationary power generation and 'diesel' rail in the UK. Also, use this emission factor for similar marine
diesel oil and marine gas oil fuels.
(5) LNG = Liquefied Natural Gas, usually shipped into the UK by tankers. LNG is usually used within the UK gas grid; however,
it can also be used as an alternative transport fuel.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
27
3. UK Electricity, Heat and Steam Emission
Factors
Section summary
3.1. UK electricity conversion factors should be used to report on electricity used by
an organisation at sites owned or controlled by them. This is reported as a Scope
2 (indirect) emission. The conversion factors for electricity are for the electricity
supplied to the grid that organisations purchase i.e. not including the emissions
associated with the transmission and distribution of electricity. Conversion
factors for transmission and distribution losses (the energy loss that occurs in
getting the electricity from the power plant to the organisations that purchase it)
are available separately and should be used to report the Scope 3 emissions
associated with grid losses. WTT conversion factors for the UK and overseas
electricity should be used to report the Scope 3 emissions of extraction, refining
and transportation of primary fuels before their use in the generation of
electricity.
3.2. Heat and steam conversion factors should be used to report emissions within
organisations that purchase heat or steam energy for heating purposes or for the
use in specific industrial processes. District heat and steam factors are also
available. WTT heat and steam conversion factors should be used to report
emissions from the extraction, refinement and transportation of primary fuels that
generate the heat and steam organisations purchase.
3.3. Table 5 shows where the related worksheets to UK electricity and heat & steam
conversion factors are available in the online spreadsheets of the UK GHG
Conversion factors set.
Table 6: Related worksheets to UK electricity and heat & steam emission factors
Worksheet name Full set Condensed set
UK electricity Y Y
Transmission and distribution Y Y
WTT UK & overseas Electricity Y N
Heat and steam Y N
WTT heat and steam Y N
Summary of changes since the previous update
3.4. The Combined Heat and Power (CHP) methodologies depend upon the DUKES
CHP fuel mix, which varies from year to year, and CH
4
and N
2
O emission factor
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
28
data from the UK GHGI, which are also subject to inter-annual variations or
revisions to assumptions (see Section 2 of this report). There have not been any
method changes for the heat and steam conversion factors described in this
chapter.
3.5. In the 2023 update, the direct and indirect conversion factors for UK electricity
have been updated to use AR5 global warming potentials (GWPs). For the direct
factor and the transmission and distribution factor, this was done by simply using
the AR5 GWPs for CH
4
and N
2
O rather than the AR4 values used previously. For
the indirect factors, the indirect factors for each fuel used in electricity generation
was updated to AR5 as described in the Fuels section. However, the indirect
factors for the biofuels have not been updated to AR5 as the data sources used
were not able to be converted to the latest GWPs as of the time of the 2023
update, see the Bioenergy and Water section for more details.
Direct Emissions from UK Grid Electricity
3.6. The electricity conversion factors given represent the average CO
2
emission
from the UK national grid per kWh of electricity generated, classed as Scope 2 of
the GHG Protocol and separately for electricity transmission and distribution
losses, classed as Scope 3. The calculations also factor in net imports of
electricity via the interconnectors with Ireland, the Netherlands, France, Belgium,
and Norway. These factors include only direct CO
2
, CH
4
and N
2
O emissions at
UK power stations and from autogenerators, plus those from the proportion of
imported electricity. They do not include emissions resulting from production and
delivery of fuel to these power stations (i.e. from gas rigs, refineries and
collieries, etc.).
3.7. The UK grid electricity factor changes from year to year as the fuel mix
consumed in UK power stations (and autogenerators) changes, and as the
proportion of net imported electricity also changes. These annual changes can
be large as they depend very heavily on the relative prices of coal and natural
gas as well as fluctuations in peak demand and renewables. There has been a
sustained decline in the amount of coal used for electricity generation over the
past few years, largely driven by the increase in the carbon floor price from £9
per tonne of CO
2
to £15 in 2015 (BEIS, 2022). The annual variability, and the
recent trends in coal use, in UK electricity generation mix is illustrated in Figure 1
below.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
29
Figure 1: Time series of the mix of UK electricity generation by type
Notes: The chart presents data for actual years; the emissions factors for a given GHG Conversion Factor update year
correspond to the data for the actual year 2 years behind, i.e. the 2023 conversion factors are based on 2021 data.
3.8. The UK electricity conversion factors provided in the 2023 GHG Conversion
factors are based on emissions from IPPC sectors 1A1ai (power stations) and
1A2b/1A2gviii (autogenerators) in the UK Greenhouse Gas Inventory (GHGI) for
2021 (Ricardo Energy & Environment, 2023). These emissions from the GHGI
only include autogeneration from coal and natural gas, and do not include
emissions for electricity generated and supplied by autogenerators using oil or
other thermal non-renewable fuels
11
. Estimates of the emissions arising from
other fuels used for autogeneration have been made using standard GHGI
emission factors, information from DUKES (BEIS, 2022) Table 5.6, and BEIS’s
DUKES team on the total fuel use (and shares by fuel type). The method also
accounts for the share of autogeneration electricity that is exported to the grid
(~25.5% for the 2023 data year), which varies significantly from year-to-year.
3.9. The UK is a net importer of electricity from the interconnectors with France, the
Netherlands, Belgium, and Norway, and a net exporter of electricity to Ireland
according to DUKES (BEIS, 2022). For the 2023 GHG Conversion factors the
total net electricity imports were calculated from DUKES Table 5.1.2 (Electricity
supply, availability and consumption 1970 to 2021). The net shares of imported
electricity over the interconnectors are calculated from data from DUKES Table
5A (Net Imports via interconnectors, GWh).
3.10. An average imported electricity emission factor is calculated from the individual
factors for the relevant countries (CBS, 2023), (RTE, 2022), (SEAI, 2023), (AIB,
2023) weighted by their respective share of net imports. This average electricity
emission factor including losses is used to account for the net import of
electricity, as it will also have gone through the relevant countries’ distribution
systems. Note that this method effectively reduces the UK’s electricity conversion
factors as the resulting average net imported electricity emission factor is lower
than that for the UK. This is largely because France’s electricity generation is
11
Other thermal non-renewable fuels include the following (with ~2023 update % share): blast furnace gas (~28%),
chemical waste (~7%), coke oven gas (~3%) and municipal solid waste (MSW, ~61%)
0%
20%
40%
60%
80%
100%
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
supplied
GWh electricity supplied
Coal Oil Gas Thermal renewables Other thermal sources Nuclear and other renewables
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
30
much less carbon-intensive than that of the UK, and accounts for the largest
share of the net imports.
3.11. The source data and calculated emissions factors are summarised in Table 6,
Table 7 and Table 8. Time series source data and conversion factors are
fixed/locked from the 2023 GHG Conversion Factor update and for earlier years
have been highlighted in light grey. The tables provide the data and conversion
factors against the relevant data year. Table 6 also provides a comparison of
how the data year reads across to the GHG conversion factors update/reporting
year to which the data and conversion factors are applied, which is two years
ahead of the data year. For example, the most recent emission factor for the
2023 GHG Conversion factors is based on the data year 2021.
3.12. Earlier years (those prior to the current update) are based on data reported in
previous versions of DUKES and following the convention set from 2016 data
year, historic time series factors/data have not been updated. Time series data in
light grey is locked/fixed for the purposes of company reporting and has not been
updated in the database in the 2023 GHG Conversion factors update.
3.13. A full-time series of data using the most recently available GHGI and DUKES
datasets for all years is provided in Appendix 2 of this report. This is provided for
purposes other than company reporting, where a fully consistent data time series
is desirable, e.g. for policy impact analysis. This dataset also reflects the
changes in the methodological approach implemented for the 2016 update and is
applied across the whole time series.
Table 7: Base electricity generation emissions data
Data
Year
Applied to
Reporting Year
Electricity
Generation
(1)
GWh
Total Grid
Losses
(2)
%
UK electricity generation
emissions
(3)
, ktonne
CO
2
CH
4
N
2
O
1990 1992 290,666 8.08% 204,614 2.671 5.409
1991 1993 293,743 8.27% 201,213 2.499 5.342
1992 1994 291,692 7.55% 189,327 2.426 5.024
1993 1995 294,935 7.17% 172,927 2.496 4.265
1994 1996 299,889 9.57% 168,551 2.658 4.061
1995 1997 310,333 9.07% 165,700 2.781 3.902
1996 1998 324,724 8.40% 164,875 2.812 3.612
1997 1999 324,412 7.79% 152,439 2.754 3.103
1998 2000 335,035 8.40% 157,171 2.978 3.199
1999 2001 340,218 8.25% 149,036 3.037 2.772
2000 2002 349,263 8.38% 160,927 3.254 3.108
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
31
Data
Year
Applied to
Reporting Year
Electricity
Generation
(1)
GWh
Total Grid
Losses
(2)
%
UK electricity generation
emissions
(3)
, ktonne
CO
2
CH
4
N
2
O
2001 2003 358,185 8.56% 171,470 3.504 3.422
2002 2004 360,496 8.26% 166,751 3.49 3.223
2003 2005 370,639 8.47% 177,044 3.686 3.536
2004 2006 367,883 8.71% 175,963 3.654 3.414
2005 2007 370,977 7.25% 175,086 3.904 3.55
2006 2008 368,314 7.21% 184,517 4.003 3.893
2007 2009 365,252 7.34% 181,256 4.15 3.614
2008 2010 356,887 7.45% 176,418 4.444 3.38
2009 2011 343,418 7.87% 155,261 4.45 2.913
2010 2012 348,812 7.32% 160,385 4.647 3.028
2011 2013 330,128 7.88% 148,153 4.611 3.039
2012 2014
320,470 8.04% 161,903 5.258 3.934
2013 2015
308,955 7.63% 146,852 4.468 3.595
2014 2016
297,897 8.30% 126,358 4.769 2.166
2015 2017
296,959 8.55% 106,209 7.567 2.136
2016 2018 297,203 7.85% 84,007 7.856 1.532
2017 2019
294,086 7.83% 74,386 7.588 1.353
2018 2020
289,120 7.92% 68,046 8.443 1.368
2019 2021
282,282 8.13% 60,504 9.158 1.321
2020 2022
269,804 8.39% 52,654 9.267 1.323
2021 2023
269,343 7.96% 57,803 9.808 1.396
Notes:
(1) From 1990-2013 (data year): Based upon calculated total for centralised electricity generation (GWh supplied) from DUKES
Table 5.5 Electricity fuel use, generation and supply for the year 1990 to 2014. The total is consistent with UNFCCC emissions
reporting categories 1A1ai+1A2d includes (according to Table 5.5 categories) GWh supplied (gross) from all ‘Major power
producers’; plus, GWh supplied from thermal renewables + coal and gas thermal sources, hydro-natural flow and other non-
thermal sources from ‘Other generators’.
From 2014 (data year) onwards: based on the total for all electricity generation (GWh supplied) from DUKES Table 5.6,
with a reduction of the total for autogenerators based on unpublished data from the BEIS DUKES team on the share of this
that is actually exported to the grid (~18% in 2019).
(2) Based upon calculated net grid losses from data in DUKES Table 5.1.2 (long term trends, only available online).
(3) From 1990-2013 (data year): Emissions from UK centralised power generation (including Crown Dependencies only) listed
under UNFCCC reporting category 1A1a and autogeneration - exported to the grid (UK Only) listed under UNFCCC reporting
category 1A2f from the UK Greenhouse Gas Inventory for 2012 (Ricardo-AEA, 2014) for data years 1990-2012, and for 2013
(Ricardo Energy & Environment, 2015) for the 2013 data year.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
32
From 2014 (data year) onwards: Excludes emissions from Crown Dependencies and also includes an accounting (estimate)
for autogeneration emissions not specifically split out in the UK GHGI, consistent with the inclusion of the GWh supply for
these elements also from 2014 onwards. Data is from the GHGI (Ricardo Energy & Environment, 2023) for the 2021 data
year.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
33
Table 8: Base electricity generation conversion factors (excluding imported electricity)
Data
Year
Emission Factor, kgCO
2
e / kWh
% Net
Electricity
Imports
For electricity GENERATED
(supplied to the grid)
Due to grid transmission
/distribution LOSSES
For electricity CONSUMED
(includes grid losses)
CO
2
CH
4
N
2
O
Total
CO
2
CH
4
N
2
O
Total
CO
2
CH
4
N
2
O
Total TOTAL
1990 0.70395 0.00019 0.00577 0.70991 0.05061 0.00001 0.00042 0.05104 0.76580 0.00021 0.00628 0.77229 3.85%
1991 0.68500 0.00018 0.00564 0.69081 0.04318 0.00001 0.00033 0.04352 0.74675 0.00019 0.00615 0.75309 5.18%
1992 0.64907 0.00017 0.00534 0.65458 0.05678 0.00002 0.00042 0.05722 0.70205 0.00019 0.00578 0.70801 5.29%
1993 0.58632 0.00018 0.00448 0.59098 0.05101 0.00002 0.00037 0.05140 0.63160 0.00019 0.00483 0.63662 5.25%
1994 0.56204 0.00019 0.00420 0.56643 0.04471 0.00002 0.00030 0.04502 0.62154 0.00021 0.00464 0.62639 5.22%
1995 0.53394 0.00019 0.00390 0.53803 0.03813 0.00001 0.00024 0.03839 0.58721 0.00021 0.00429 0.59170 4.97%
1996 0.50774 0.00018 0.00345 0.51137 0.04182 0.00002 0.00026 0.04210 0.55432 0.00020 0.00376 0.55828 4.80%
1997 0.46989 0.00018 0.00297 0.47304 0.03816 0.00002 0.00022 0.03840 0.50961 0.00019 0.00322 0.51302 4.76%
1998 0.46912 0.00019 0.00296 0.47226 0.04084 0.00002 0.00024 0.04111 0.51211 0.00020 0.00323 0.51555 3.51%
1999 0.43806 0.00019 0.00253 0.44077 0.04375 0.00002 0.00027 0.04404 0.47745 0.00020 0.00275 0.48041 3.94%
2000 0.46076 0.00020 0.00276 0.46372 0.04083 0.00002 0.00024 0.04109 0.50293 0.00021 0.00301 0.50616 3.82%
2001 0.47872 0.00021 0.00296 0.48189 0.04398 0.00002 0.00027 0.04427 0.52354 0.00022 0.00324 0.52701 2.78%
2002 0.46256 0.00020 0.00277 0.46554 0.04487 0.00002 0.00027 0.04516 0.50418 0.00022 0.00302 0.50742 2.24%
2003 0.47767 0.00021 0.00296 0.48084 0.03621 0.00002 0.00023 0.03646 0.52187 0.00023 0.00323 0.52533 0.57%
2004 0.47831 0.00021 0.00288 0.48140 0.03831 0.00002 0.00025 0.03857 0.52395 0.00023 0.00315 0.52733 1.97%
2005 0.47196 0.00022 0.00297 0.47515 0.03884 0.00002 0.00024 0.03910 0.50883 0.00024 0.00320 0.51226 2.16%
2006 0.50098 0.00023 0.00328 0.50448 0.03883 0.00002 0.00023 0.03908 0.53993 0.00025 0.00353 0.54371 1.97%
2007 0.49625 0.00024 0.00307 0.49956 0.03838 0.00002 0.00022 0.03863 0.53555 0.00026 0.00331 0.53911 1.37%
2008 0.49433 0.00026 0.00294 0.49752 0.03611 0.00002 0.00021 0.03634 0.53414 0.00028 0.00317 0.53759 2.91%
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
34
Data
Year
Emission Factor, kgCO
2
e / kWh
% Net
Electricity
Imports
For electricity GENERATED
(supplied to the grid)
Due to grid transmission
/distribution LOSSES
For electricity CONSUMED
(includes grid losses)
CO
2
CH
4
N
2
O
Total
CO
2
CH
4
N
2
O
Total
CO
2
CH
4
N
2
O
Total TOTAL
2009 0.45211 0.00027 0.00263 0.45501 0.03783 0.00002 0.00024 0.03809 0.49074 0.00030 0.00285 0.49389 0.80%
2010 0.45980 0.00028 0.00269 0.46277 0.05061 0.00001 0.00042 0.05104 0.49613 0.00030 0.00290 0.49933 0.73%
2011 0.44877 0.00029 0.00285 0.45192 0.04318 0.00001 0.00033 0.04352 0.48715 0.00032 0.00310 0.49056 1.76%
2012 0.50520 0.00034 0.00381 0.50935 0.04418 0.00003 0.00033 0.04454 0.54938 0.00037 0.00414 0.55389 3.40%
2013 0.47532 0.00036 0.00347 0.47915 0.03925 0.00003 0.00029 0.03956 0.51457 0.00039 0.00375 0.51871 4.10%
2014 0.42417 0.00040 0.00217 0.42673 0.03837 0.00004 0.00020 0.03860 0.46254 0.00044 0.00236 0.46534 6.44%
2015 0.35766 0.00064 0.00214 0.36044 0.03343 0.00006 0.00020 0.03369 0.39108 0.00070 0.00234 0.39412 6.59%
2016 0.28266 0.00066 0.00154 0.28486 0.02409 0.00006 0.00013 0.02428 0.30675 0.00072 0.00167 0.30913 5.57%
2017 0.25294 0.00065 0.00137 0.25496 0.02148 0.00005 0.00012 0.02165 0.27442 0.00070 0.00149 0.27660 4.78%
2018 0.23536 0.00073 0.00141 0.23750 0.02024 0.00006 0.00012 0.02042 0.25559 0.00079 0.00153 0.25792 6.20%
2019 0.21434 0.00081 0.00139 0.21654 0.01897 0.00007 0.00012 0.01917 0.23331 0.00088 0.00152 0.23571 6.98%
2020 0.19516 0.00086 0.00146 0.19748 0.01786 0.00008 0.00013 0.01808 0.21302 0.00094 0.00160 0.21555 6.22%
2021 0.21461 0.00091 0.00154 0.21706 0.01856 0.00008 0.00013 0.01877 0.23317 0.00099 0.00168 0.23583 8.36%
Notes: * From 1990-2013 the emission factor used was for French electricity only and is as published in previous methodology papers. The methodology was updated from 2014
onwards with new data on the contribution of electricity from the other interconnects, hence these figures are based on a weighted average emission factor of the conversion factors for
France, the Netherlands and Ireland, based on the % share supplied.
Emission Factor (Electricity CONSUMED) = Emission Factor (Electricity GENERATED) / (1 - %Electricity Total Grid LOSSES)
Emission Factor (Electricity LOSSES) = Emission Factor (Electricity CONSUMED) - Emission Factor (Electricity GENERATED)
Emission Factor (Electricity CONSUMED) = Emission Factor (Electricity GENERATED) + Emission Factor (Electricity LOSSES),
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
35
Table 9: Base electricity generation emissions factors (including imported electricity)
Data Year
Emission Factor, kgCO2e / kWh
% Net Elec
Imports
For electricity GENERATED (supplied
to the grid, plus imports)
Due to grid
transmission/distribution LOSSES
For electricity CONSUMED
(includes grid losses)
CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total Total
1990 0.6812 0.00019 0.00558 0.68697 0.05985
0.00002 0.00049
0.06036 0.74106
0.0002 0.00607
0.74733 3.85%
1991 0.65616 0.00017 0.0054 0.66174 0.05915
0.00002 0.00049
0.05966 0.71532
0.00019 0.00589
0.72139 5.18%
1992 0.62005 0.00017 0.0051 0.62532 0.05061
0.00001 0.00042
0.05104 0.67066
0.00018 0.00552
0.67636 5.29%
1993 0.55913 0.00017 0.00428 0.56358 0.04318
0.00001 0.00033
0.04352 0.60232
0.00018 0.00461
0.6071 5.25%
1994 0.53633 0.00018 0.00401 0.54051 0.05678
0.00002 0.00042
0.05722 0.59311
0.0002 0.00443
0.59773 5.22%
1995 0.5113 0.00018 0.00373 0.51521 0.05101
0.00002 0.00037
0.0514 0.56231
0.0002 0.0041 0.56661 4.97%
1996 0.48731 0.00017 0.00331 0.4908 0.04471
0.00002 0.0003 0.04502 0.53202
0.00019 0.00361
0.53582 4.80%
1997 0.45112 0.00017 0.00285 0.45414 0.03813
0.00001 0.00024
0.03839 0.48925
0.00019 0.00309
0.49253 4.76%
1998 0.45633 0.00018 0.00288 0.45939 0.04182
0.00002 0.00026
0.0421 0.49816
0.0002 0.00314
0.5015 3.51%
1999 0.42438 0.00018 0.00245 0.427 0.03816
0.00002 0.00022
0.0384 0.46254
0.0002 0.00267
0.46541 3.94%
2000 0.44628 0.00019 0.00267 0.44914 0.04084
0.00002 0.00024
0.04111 0.48712
0.00021 0.00292
0.49024 3.82%
2001 0.46725 0.0002 0.00289 0.47034 0.04375
0.00002 0.00027
0.04404 0.511 0.00022 0.00316
0.51438 2.78%
2002 0.45378 0.0002 0.00272 0.4567 0.04083
0.00002 0.00024
0.04109 0.49461
0.00022 0.00296
0.49779 2.24%
2003 0.47537 0.00021 0.00294 0.47853 0.04398
0.00002 0.00027
0.04427 0.51936
0.00023 0.00322
0.5228 0.57%
2004 0.47033 0.00021 0.00283 0.47337 0.04487
0.00002 0.00027
0.04516 0.51521
0.00022 0.0031 0.51853 1.97%
2005 0.46359 0.00022 0.00291 0.46673 0.03621
0.00002 0.00023
0.03646 0.49981
0.00023 0.00314
0.50318 2.16%
2006 0.49263 0.00022 0.00322 0.49608 0.03831
0.00002 0.00025
0.03857 0.53094
0.00024 0.00347
0.53465 1.97%
2007 0.49054 0.00024 0.00303 0.49381 0.03884
0.00002 0.00024
0.0391 0.52939
0.00025 0.00327
0.53291 1.37%
2008 0.48219 0.00026 0.00286 0.48531 0.03883
0.00002 0.00023
0.03908 0.52102
0.00028 0.00309
0.52439 2.91%
2009 0.44917 0.00027 0.00261 0.45205 0.03838
0.00002 0.00022
0.03863 0.48755
0.00029 0.00284
0.49068 0.80%
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
36
Data Year
Emission Factor, kgCO2e / kWh
% Net Elec
Imports
For electricity GENERATED (supplied
to the grid, plus imports)
Due to grid
transmission/distribution LOSSES
For electricity CONSUMED
(includes grid losses)
CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total Total
2010 0.45706 0.00028 0.00267 0.46002 0.03611
0.00002 0.00021
0.03634 0.49317
0.0003 0.00289
0.49636 0.73%
2011 0.44238 0.00029 0.00281 0.44548 0.03783
0.00002 0.00024
0.03809 0.4802 0.00031 0.00305
0.48357 1.76%
2012 0.49023 0.00033 0.00369 0.49426 0.04287
0.00003 0.00032
0.04322 0.5331 0.00036 0.00402
0.53748 3.40%
2013 0.4585 0.00035 0.00334 0.46219 0.03786
0.00003 0.00028
0.03816 0.49636
0.00038 0.00362
0.50035 4.10%
2014 0.40957 0.00039 0.00209 0.41205 0.03705
0.00003 0.00019
0.03727 0.44662
0.00042 0.00228
0.44932 6.44%
2015 0.34885 0.00062 0.00209 0.35156 0.03261
0.00006 0.0002 0.03287 0.38146
0.00068 0.00229
0.38443 6.59%
2016 0.28088 0.00066 0.00153 0.28307 0.02394
0.00006 0.00013
0.02413 0.30482
0.00072 0.00166
0.3072 5.57%
2017 0.25358 0.00065 0.00137 0.2556 0.02153
0.00005 0.00012
0.0217 0.27511
0.0007 0.00149
0.2773 4.78%
2018 0.23104 0.00072 0.00138 0.23314 0.01987
0.00006 0.00012
0.02005 0.25091
0.00078 0.0015 0.25319 6.20%
2019 0.21016 0.0008 0.00137 0.21233 0.0186 0.00007 0.00012
0.01879 0.22876
0.00087 0.00149
0.23112 6.98%
2020 0.19121 0.00084 0.00143 0.19348 0.0175 0.00008 0.00013
0.01771 0.20871
0.00092 0.00156
0.21119 6.22%
2021 0.20496 0.00087 0.00147 0.20730 0.01773
0.00008 0.00013
0.01794 0.22269
0.00095 0.00160
0.22524 8.36%
Notes: * From 1990-2013 the emission factor used was for French electricity only. The methodology was updated from 2014 onwards with new data on the contribution of electricity
from the other interconnects, hence these figures are based on a weighted average emission factor of the conversion factors for France, the Netherlands, Ireland, Belgium, and
Norway, based on the % share supplied.
Emission Factor (Electricity CONSUMED) = Emission Factor (Electricity GENERATED) / (1 - %Electricity Total Grid LOSSES)
Emission Factor (Electricity LOSSES) = Emission Factor (Electricity CONSUMED) - Emission Factor (Electricity GENERATED)
Emission Factor (Electricity CONSUMED) = Emission Factor (Electricity GENERATED) + Emission Factor (Electricity LOSSES)
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
37
Indirect/WTT Emissions from UK Grid Electricity
3.14. In addition to the GHG emissions resulting directly from the generation of
electricity, there are also indirect/WTT emissions resulting from the production,
transport and distribution of the fuels used in electricity generation (i.e.
indirect/WTT/-fuel lifecycle emissions as included in the Fuels WTT tables). The
average fuel lifecycle emissions per unit of electricity generated will be a result of
the mix of different sources of fuel/primary energy used in electricity generation.
3.15. The WTT conversion factor for electricity has been calculated using the
corresponding fuels WTT conversion factors and data on the total fuel
consumption by type of generation from Table 5.6 and Table 6.6, DUKES 2021
(BEIS, 2022).
3.16. As the WTT factor for UK Grid Electricity is no longer annually updated as part of
the conversion factors, the data for these calculations are no longer presented
here.
Conversion factors for the Supply of Purchased Heat or Steam
3.17. The conversion factors for the supply of purchased heat or steam represent the
average emission from the heat and steam supplied by the UK Combined Heat
and Power Quality Assurance (CHPQA) scheme (BEIS, 2019a) operators for a
given year. This factor changes from year to year, as the fuel mix consumed
changes and is therefore updated annually. No statistics are available that would
allow the calculation of UK national average conversion factors for the supply of
heat and steam from non-CHP (Combined Heat and Power) operations.
3.18. CHP simultaneously produces both heat and electricity, and there are several
conventions used to allocate emissions between these products. At the
extremes, emissions could be allocated wholly to heat or wholly to electricity, or
in various proportions in-between.
3.19. To determine the amount of fuel attributed to CHP heat (qualifying heat output,
or ‘QHO’), it is necessary to apportion the total fuel to the CHP scheme to the
separate heat and electricity outputs. This then enables the fuel, and therefore
emissions, associated with the QHO to be determined. There are three possible
methodologies for apportioning fuel to heat and power:
a) Method 1: 1/3 : 2/3 Method (DUKES)
b) Method 2: Boiler Displacement Method
c) Method 3: Power Station Displacement Method
3.20. The GHG Conversion factors use the 1/3 : 2/3 DUKES method (Method 1) to
determine emissions from heat and therefore only this method is described
below.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
38
Summary of Method 1: 1/3: 2/3 Method (DUKES)
3.21. Under the UK’s Climate Change Agreements (CCAs)
12
(Environment Agency,
2020), this method, which is used to apportion fuel use to heat and power,
assumes that twice as many units of fuel are required to generate each unit of
electricity than are required to generate each unit of heat. This follows from the
observation that the efficiency of the generation of electricity (at electricity only
generating plant) varies from as little as 25% to 50%, while the efficiency of the
generation of heat in fired boilers ranges from 50% to about 90%.
3.22. Mathematically, Method 1 can be represented as follows:
Where:
‘Total Fuel Input (TFI)’ is the total fuel to the prime mover.
‘Heat Output’ is the useful heat generated by the prime mover.
‘Electricity Output’ is the electricity (or the electrical equivalent of mechanical
power) generated by the prime mover.
‘Heat Energy’ is the fuel to the prime mover apportioned to the heat generated.
‘Electricity Energy’ is the fuel to the prime mover apportioned to the electricity
generated.
3.23. This method is used only in the UK for accounting for primary energy inputs to
CHP where the CHP generated heat and electricity is used within a facility with a
CCA.
Calculation of CO
2
Emissions Factor for CHP Fuel Input, FuelMixCO
2
factor
3.24. The value FuelMixCO
2
factor referred to above is the carbon emission factor per
unit fuel input to a CHP scheme. This factor is determined using fuel input data
provided by CHP scheme operators to the CHPQA programme, which is held in
confidence.
The value for FuelMixCO
2
factor is determined using the following expression:
Where:
12
Climate Change Agreements (CCAs) are agreements between UK energy intensive industries and UK
Government, whereby industry undertakes to make challenging, but achievable, improvements in energy efficiency
in exchange for a reduction in the Climate Change Levy (CCL).
( )
OutputHeat
OutputHeatOutputyElectricit
InputFuelTotal
EnergyHeat _
__2
_ ×
+×
=
( )
OutputyElectricit
OutputHeatOutputyElectricit
InputFuelTotal
EnergyyElectricit _
__2
2
_ ×
+×
×
=
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
39
FuelMixCO
2
factor is the composite emissions factor (in tCO
2
/MWh thermal
fuel input) for a scheme
Fuel Input is the fuel input (in MWh thermal, MWh
th
) for a single fuel
supplied to the prime mover
Fuel CO
2
Emissions factor is the CO
2
emissions factor (in tCO
2
/MWh
th
) for
the fuel considered.
TFI is total fuel input (in MWh thermal) for all fuels supplied to the prime
mover.
3.25. Fuel inputs and emissions factors are evaluated on a Gross Calorific Value
(Higher Heating Value) basis. The following Table 9 provides the individual fuel
types considered under the CHPQA scheme and their associated emissions
factors, consistent with other reporting; fuel mix varies every year and thus there
are zero entries for specific fuel types.
Table 10: Fuel types and associated emissions factors used in the determination of
FuelMixCO
2
factor
Fuel
CO
2
Emissions Factor
(kgCO
2
/kWh
th
)
Biodiesel, bioethanol etc
-
Biomass (such as woodchips, chicken litter etc)
-
Blast furnace gas
0.93
Butane
0.21
Coal and lignite
0.32
Coke oven gas
0.14
Coke, and semi-coke
0.34
Domestic refuse (raw)
0.16
Ethane
0.18
Fuel oil
0.27
Gas oil
0.25
Hydrogen
-
Landfill gas
-
Methane
0.18
Mixed refinery gases
0.25
Natural gas
0.18
Other
0.18
Other Biogas (e.g. gasified woodchips)
-
Other gaseous waste
0.18
Other liquid waste (non-renewable)
0.25
Other liquid waste (renewable)
-
Other oils
0.25
Other solid waste
0.16
Petroleum coke
0.34
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
40
Fuel
CO
2
Emissions Factor
(kgCO
2
/kWh
th
)
Petroleum gas
0.21
Propane
0.21
Refuse-derived Fuels (RDF)
0.16
Sewage gas
-
Unknown process gas
0.18
Uranium
-
VOC's
-
Waste exhaust heat from high temperature processes
-
Waste heat from exothermic chemical reactions
-
Other waste heat
-
Wood Fuels (woodchips, logs, wood pellets etc)
-
Fuel cells
0.18
Syngas / Other Biogas (e.g. gasified woodchips)
-
Pentane
-
Other Industrial By-Product gases
0.18
Hospital waste
0.16
Hydrogen (as a by-product)
-
Hydrogen (as a primary fuel)
-
Oil shale
0.27
Bituminous or asphaltic substance
0.27
Carbon Monoxide
0.18
Agricultural residues
-
Arboricultural & Forestry residues
-
Biogas produced by an AD plant
-
Branches and prunings
-
Building and demolition materials
-
Distillers grain
-
Dried wood chips
-
Fatty Acid Methyl Esters (biodiesel)
-
Gases otherwise produced from AD of biological
materials
-
Industrial waste
0.16
Milling residues
-
Municipal solid waste
0.16
Organic waste material such as manure, chicken litter,
food waste
-
Other commercial renewable oils
-
Other Waste Woods
-
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
41
Fuel
CO
2
Emissions Factor
(kgCO
2
/kWh
th
)
Other wood fuels
-
Paper sludge
-
Rapeseed oil
-
Refinery asphaltic oil
0.27
Refuse derived fuel
0.16
Roundwood
-
Spent solvents
0.25
Straw
-
Syngas from Wood Chips
-
Tallow
-
Undried woodchips
-
Used cooking oil
-
Visibly Clean Waste Wood (grade A of PAS 111)
-
Wood pellets
-
Sources: GHG Conversion factors for Company Reporting (2023 update) and UK GHGI (Ricardo Energy & Environment, 2023).
Note: For waste derived fuels, the emission factor can vary significantly according to the waste mix. Therefore, if you have site-
specific data, it is recommended that you use that instead of the waste derived fuel emissions factors in this table.
3.26. The 1/3 : 2/3 method (Method 1) was used to calculate the new heat/steam
conversion factors provided in the Heat and Steam tables of the 2023 GHG
Conversion factors. This is shown in Table 10. It is important to note that the
conversion factors update year is two years ahead of the data year. For
example, the most recent emission factor for the 2023 GHG Conversion factors
is based on the data year of 2021 in the Table 10.
3.27. While not used in the 2023 GHG conversion factors, the factor for heat from CHP
and power from CHP has also been calculated using the other two CHP methods
and the DUKES power method. These are: 0.25791 CO
2
/kWh heat (Boiler
displacement), 0.22293 CO
2
/kWh heat (Power station displacement), 0.33813
CO
2
/kWh power (DUKES method), 0.36609 CO
2
/kWh power (Boiler
displacement), 0.42826 CO
2
/kWh power (power station displacement).
Table 11: Heat/Steam CO
2
emission factor for DUKES 1/3 2/3 method.
Data Year
kgCO
2
/kWh supplied heat/steam
Method 1 (DUKES: 2/3rd - 1/3rd)
2001 0.23770
2002 0.22970
2003 0.23393
2004 0.22750
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
42
Data Year
kgCO
2
/kWh supplied heat/steam
Method 1 (DUKES: 2/3rd - 1/3rd)
2005 0.22105
2006 0.23072
2007 0.23118
2008 0.22441
2009 0.22196
2010 0.21859
2011 0.21518
2012 0.20539
2013 0.20763
2014 0.20245
2015 0.19564
2016 0.18618
2017 0.17447
2018 0.17102
2019 0.17150
2020 0.17574
2021 0.17791
Calculation of Non-CO
2
and Indirect/WTT Emissions Factor for Heat and Steam
3.28. CH
4
and N
2
O emissions have been estimated relative to the CO
2
emissions,
based upon activity weighted average values for each CHP fuel used (using
relevant average fuel conversion factors from the UK GHGI). Where fuels are not
included in the UK GHGI, the value for the most similar alternative fuel was used.
3.29. Indirect/WTT GHG conversion factors have been estimated relative to the CO
2
emissions, based upon activity weighted average indirect/WTT GHG emission
factor values for each CHP fuel used (see Indirect/WTT Emissions from Fuels
section for more information). Where fuels are not included in the set of
indirect/WTT GHG conversion factors provided in the 2023 GHG Conversion
factors, the value for the most similar alternative fuel was used.
3.30. The final conversion factors for supplied heat or steam utilised are presented in
the ‘Heat and Steam’ tables of the 2023 GHG Conversion factors and are
counted as Scope 2 emissions under the GHG Protocol.
3.31. For district heating systems, the location of use of the heat will often be some
distance from the point of production and therefore there are distribution energy
losses. These losses are typically around 5%, which need to be factored into the
calculation of overall GHG emissions where relevant and are counted as Scope
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
43
3 emissions under the GHG Protocol (similar to the treatment of transmission
and distribution losses for electricity).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
44
4. Refrigerant and Process Emission
Factors
Section summary
4.1. Refrigerant and process conversion factors should be used for reporting leakage
from air-conditioning and refrigeration units or the release to the atmosphere of
other substances that have a global warming potential.
4.2. This section of the methodology paper relates to the “Refrigerant & other”
worksheet available in both the full and condensed set of the 2023 UK GHG
Conversion factors set.
Summary of changes since the previous update
4.3. Almost all values have been updated to use AR5 GWPs (and where AR5 values
were not available, but AR6 values were, AR6 GWPs have been used). Almost
all changes are less than 20%, however, given the wide range of substances
considered here, and the limited science for some of the more niche products,
updates to GWPs can be substantial for some individual substances. Most
significantly, previously nominal estimated GWPs presented in the 2014 EU F-
gas regulations for some hydrocarbons have been replaced with properly
assessed IPCC assessment values, and in those cases changes, and typically
these have been revised from between 3 and 6 to less than 0.2.
Global Warming Potentials of Greenhouse Gases
4.4. The GWP values have been updated to those published by the IPCC in the Fifth
Assessment Report (IPCC, 2014). There are a small number of refrigerants that
are not included in the Fifth Assessment Report. In these cases, we have
adopted values from either IPCC Sixth Assessment Report (IPCC, 2023), , the
IPCC Fourth Assessment Report (IPCC, 2007), or Annex IV of the EU F gas
regulation (517/2014)
11
.
Greenhouse Gases Listed in the Kyoto Protocol
4.5. Mixed/Blended gases: GWP values for refrigerant blends are calculated on the
basis of the percentage blend composition (e.g. the GWP for R404a that
comprises of 44% HFC125
13
, 52% HFC143a and 4% HFC134a is [3170 x 0.44]
+ [4800 x 0.52] + [1300x 0.04] = 3943). A limited selection of common blends is
presented in the Refrigerant tables. This calculation is done separately for Kyoto
components and non-Kyoto components, so that users of blends which include
both can distinguish what proportion of the GWP relates specifically to Kyoto
components while also presenting the total GWP.
13
HFC: Hydrofluorocarbon
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
45
Other Greenhouse Gases
4.6. CFCs and HCFCs
14
: While these products typically have high GWPs, they were
excluded from Kyoto Protocol reporting due to already being controlled under the
Montreal Protocol due to them being Ozone Depleting Substances (ODS). Most
use of ODS are now banned in the UK, so these are unlikely to be relevant to UK
users unless they have a legacy system and/or are using the product for specific
exempted end-uses.
4.7. Other substances which are neither controlled under the Kyoto Protocol or
Montreal protocol. Many non-ODS substances which have comparatively low
GWPs (typically <10) or are not widely used are not included under the Kyoto
Protocol or Montreal protocol but are included in domestic F-gas regulations.
These are included here for completeness, and it also means that the GWP
values for blends should closely align with the calculations required for labelling
F-gas equipment.
14
CFCs: Chlorofluorocarbons; HCFCs: Hydrochlorofluorocarbons
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
46
5. Passenger Land Transport Emission
Factors
Section summary
5.1. Conversion factors for passenger land transport are included in this section of
the methodology paper. This section includes vehicles owned by the reporting
organisation (Scope 1), business travel in other vehicles (e.g. employee own car
for business use, hire car, public transport (Scope 3)), and electric vehicles (EVs)
(Scope 2). Other Scope 3 conversion factors included here are for transmission
and distribution losses for electricity used for electric vehicles, WTT for
passenger transport (vehicles owned by reporting organisation) and other
business travel.
5.2. Motorcycles, methane and nitrous oxide conversion factors remain constant
since the 2021 GHG Conversion factors but have been updated from AR4 to
AR5 GWP values. WTT conversion factors also remain constant and have been
updated from AR4 to AR5 GWP values.
5.3. Note that passenger land transport factors should only be used in the absence of
data for fuel or electricity consumption for the vehicles in question.
5.4. Table 11 shows where the related worksheets to the passenger land transport
conversion factors are available in the online spreadsheets of the UK GHG
Conversion factors.
Table 12: Related worksheets to passenger land transport emission factors
Worksheet name Full set Condensed set
Passenger vehicles Y Y
UK Electricity for Electric Vehicles (EVs) Y Y
UK Electricity T&D for EVs Y Y
Business travel land* Y Y
WTT pass vehicles & travel land* Y N
* cars and motorbikes only
Summary of changes since the previous update
5.5. For xEVs cars, the European Environment Agency (EEA) no longer provides
new UK vehicle data which was previously used in calculating the factors for
xEVs cars. In the 2023 update, the number of new registrations of xEVs cars in
UK in 2021 have been obtained from the UK Department for Transport (DfT).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
47
Vehicle model specific CO
2
emissions and energy consumption for individual
models are assumed to have remained the same since the previous year and
derived from the previous version of the EEA database (EEA, 2021b). For new
xEVs models that were not included in previous version of EEA database, their
vehicle model specific CO
2
emissions and energy consumption were assumed to
be the same as those values from the same vehicle models in seven other EEA
countries (France, Germany, Ireland, Belgium, Netherlands, Spain, and Portugal)
in the latest EEA database (EEA, 2022).
5.6. The UK GHG Conversion Factors cover also the period when national and
regional measures were introduced to prevent and reduce the global spread of
coronavirus (COVID-19). Transport trends have been affected by these
measures which can be seen in DfT's statistics used to derive these factors.
Passenger kilometres and thus occupancy levels for certain modes of transport
(buses, cars, vans, rail, air) have significantly dropped in 2020 and they didn't go
back to pre-COVID levels in 2021 too. Because for the aviation sector it will take
longer to recover to pre-COVID levels, it was decided to update the 2023 factors
using the actual 2021 load factors whereas for the rest transport sectors, it was
decided that pre-COVID occupancy levels would be retained for the years 2020
and 2021. Please see the two illustrative tables below for buses:
Table 13: DfT's Table BUS03a_km - Passenger kilometres on local bus services by
metropolitan area status and country: Great Britain
Year Great Britain
2016/17 27.28
2017/18 26.98
2018/19 26.98
2019/20 25.88 - retained value for the 2022 and 2023 updates
2020/21 9.91
2021/22 18.29
Table 14: DfT's Table BUS03b - Average bus occupancy on local bus services by
metropolitan area status and country: Great Britain
Year Great Britain
2016/17 11.3
2017/18 11.6
2018/19 11.8
2019/20 11.5 - retained value for the 2022 and 2023 updates
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
48
2020/21 5.3
2021/22 8.8
Direct Emissions from Passenger Cars
Conversion factors for Petrol and Diesel Passenger Cars by Engine Size
5.7. The methodology for calculating average conversion factors for passenger cars
is based upon a combination of datasets on the average new vehicle regulatory
emissions for vehicles registered in the UK, and an uplift to account for
differences between these and real-world driving performance emissions.
5.8. The regulatory test cycle/procedure transitioned from the previous NEDC to the
new WLTP
15
, which is intended to bring the results of tests under regulatory
testing conditions closer to those observed in the real-world. Light duty vehicles
(cars and vans) registered in the EU from 2020 have WLTP-based regulatory
CO
2
emissions values and these are used in the calculation of conversion factors
where possible. However, the majority of vehicles in the UK fleet are registered
before 2020 and so continue to use NEDC-based values.
5.9. SMMT
16
provides numbers of registrations and average gCO
2
/km figures for new
vehicles registered from 1999 to 2022
17
. The dataset represents a good
indication of the relative gCO
2
/km by size and market segment category. Table
12 presents the average NEDC CO
2
conversion factors used for vehicles
registered between 2005-2019 and the average WLTP CO
2
conversion factors
used for vehicles registered from 2020.
15
NEDC = New European Driving Cycle, which has been the standard cycle used in the type approval of all new
passenger cars and vans historically. From 2017 there has been a phased transition in vehicle testing using the
new WLTP (Worldwide Harmonised Light Vehicle Test Procedure); from September 2018 onwards all new cars
and vans must have been tested/reported values under WLTP. More information is available on the VCA website:
https://www.vehicle-certification-agency.gov.uk/fcb/wltp.asp
16
SMMT is the Society of Motor Manufacturers and Traders that represents the UK auto industry.
http://www.smmt.co.uk/
17
The SMMT gCO
2
/km dataset for 1997 represented around 70% of total registrations, which rose to about 99% by
2000 and essentially all vehicles thereafter.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
49
Table 15: Average CO
2
conversion factors and total registrations by engine size for 2005
to 2022 (based on data sourced from SMMT)
Vehicle Type Engine
size
Size
label
NEDC*
gCO
2
per km
WLTP
gCO
2
per km
Total no. of
registrations
% Total
Petrol car
< 1.4 l Small 120.8 130.6 12,502,018 62%
1.4 - 2.0 l Medium 157.0 155.5 6,933,332 34%
> 2.0 l Large 235.3 248.9 864,437 4%
Average petrol car All 137.2 145.1 20,299,787 100%
Diesel car
<1.7 l Small 111.3 134.4 5,415,302 37%
1.7 - 2.0 l Medium 136.1 159.1 6,231,063 43%
> 2.0 l Large 170.4 210.1 3,008,120 21%
Average diesel car All 133.4 162.0 14,654,485 100%
* For 2019 and 2018, NEDCe reported data is converted to NEDC, based on an estimated 9% correlation factor from
SMMT based on analysis of vehicle models where both NEDC and NEDCe values exist. NEDCe (NEDC equivalent)
data are officially reported figures calculated from WLTP using an official regulatory correlation tool. They are used
to check compliance of new vehicle registrations with the EU-wide regulatory CO
2
targets set on NEDC basis.
5.10. The SMMT data is used in conjunction with DfT's ANPR (Automatic Number
Plate Recognition) data to weight the conversion factors to account for the age
and activity distribution of the vehicles on the UK’s roads.
5.11. The ANPR data has been collected annually (since 2007) over 256 sites in the
UK on different road types (urban and rural major/minor roads, and motorways)
and regions. Measurements are made at each site on one weekday (8 am-2 pm
and 3 pm-9 pm) and one-half weekend day (either 8 am-2 pm or 3 pm-9 pm)
each year in June and are currently available for 2007 - 2011, 2013 2015,
2017, 2019 and 2021. There are approximately 1.4 -1.7 million observations
recorded from all the sites each year, and they cover various vehicle and road
characteristics such as fuel type, age of the vehicle, engine sizes, vehicle weight
and road types.
5.12. Counts of vehicles were extracted from the 2021 ANPR dataset and categorised
according to their engine size, fuel type and year of registration. The CO
2
conversion factors for petrol and diesel passenger cars were subsequently
calculated based upon the equation below:
gCO
/km =
gCO
/km
 
×
ANPR
 
ANPR
 
5.13. A limitation of the NEDC is that it takes no account of further ‘real-world’ effects
that can have a significant impact on fuel consumption. These include use of
accessories (air conditioning, lights, heaters etc.), vehicle payload (only driver
+25kg is considered in tests, no passengers or further luggage), poor
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
50
maintenance (tyre under inflation, maladjusted tracking, etc.), gradients (tests
effectively assume a level road), weather, more aggressive driving style, etc. It is
therefore desirable to uplift NEDC based data to bring it closer to anticipated
‘real-world’ vehicle performance.
5.14. An uplift factor over NEDC based gCO
2
/km factors is applied to account for the
combined ‘real-world’ effects on fuel consumption. The uplift applied varies over
time and is based on work performed by (ICCT, 2017); this study used data on
almost 1.1 million vehicles from fourteen data sources and eight countries,
covering the fuel consumption/CO
2
from actual real-world use and the
corresponding type-approval values. The values used are based on average
data from the two UK-based sources analysed in the ICCT study, as summarised
in Table 13 below and illustrated in Figure 2 alongside the source data/chart
reproduced from the ICCT (2017) report.
5.15. WLTP based gCO
2
/km factors are used from 2020 onwards and require a
different uplift to account for the real-world effects described above. It was
possible to source uplifts by vehicle size, powertrain and fuel from Appendix 2 of
a report produced for the European Commission (Ricardo Energy &
Environment, 2018) instead of using a single uplift for all vehicle types, as is
applied to NEDC based factors. The WLTP to real-world uplifts can therefore be
applied more accurately and it is only the average value shown in Table 13. The
uplift is noticeably lower due to WLTP based factors being closer to real-world
driving than NEDC based factors.
Table 16: Average ‘real-world’ uplift for the UK applied to gCO
2
/km data
Notes: 2006-2019 values applied to NEDC based factors. 2020-2022 values are an average of uplifts applied to
WLTP based factors.
5.16. The above uplifts have been applied to the ANPR weighted SMMT gCO
2
/km to
give the ‘Real-World’ 2023 GHG Conversion factors. The average car conversion
factors were calculated by weighting with the relative mileage of the different
categories. This calculation utilised data from the UK GHG Inventory on the
relative % total mileage by petrol and diesel cars. Overall, for petrol and diesel,
this split in total annual mileage was 54.5% petrol and 45.5% diesel, and can be
compared to the respective total registrations of the different vehicle types for
2006-2022, which were 58.1% petrol and 41.9% diesel.
Data
year
2006
2007
2008
2009
2010
2011
2012
2013
2014
RW uplift
(%)
13.00
15.65
18.30
20.95
23.60
26.25
27.63
29.00
33.33
Data
year
2015
2016
2017
2018
2019
2020
2021
2022
RW uplift
(%)
41.50
38.00
31.50
31.50
31.50
13.41
13.41
13.41
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
51
5.17. An adjustment factor is applied to account for the biofuel content of
transportation fuels.
5.18. Conversion factors for CH
4
and N
2
O are based on the emission factors from the
UK GHGI 2019 (Ricardo Energy & Environment, 2021) and updated to align with
AR5 GWP values. The emission factors used in the UK GHGI are based on
COPERT 4 version 11 (EMISIA, 2019).
5.19. The final conversion factors for petrol and diesel passenger cars by engine size
are presented in the ‘Passenger vehicles’ and ‘Business travel- land’ worksheets
of the 2023 GHG Conversion factors set.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
52
Figure 2: Updated GCF 'Real world' uplift values for the UK based on (ICCT, 2017)
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
'Real-
world' vs. manufacturers' type
-approval
CO
2
emissions
Uplift proposed Flat 15% RW Uplift, used prior to 2014
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
53
Figure 3: Comparison of 'Real world' uplift values from various sources (ICCT, 2017)
Notes: In the above charts a y-axis value of 0% would mean no difference between the CO
2
emissions per km experienced in ‘real-world’ driving conditions and those
from official type-approval testing protocol.
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
'Real-
world' vs. manufacturers' type
-approval CO
2
emissions
Uplift proposed
WhatCar? (UK)
ALLSTAR FUEL CARD (UK)
Honestjohn.co.uk (UK)
TCS (Switzerland)
Spiritmonitor.de (Germany)
Travelcard (Netherlands)
LeasePlan (Germany)
German Mobility Panel (Germany)
Fiches-Auto.Fr (France)
Autobild (Germany)
Emissions Analytics (UK)
Auto Motor und Sport (Germany)
Auto Motor & Sport (Sweden)
KM77.COM (Spain)
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
54
Hybrid, LPG and CNG Passenger Cars
5.20. The methodology used in the 2023 update for small, medium and large hybrid
petrol/diesel electric cars is the same as that used for conventional petrol and
diesel vehicles. The conversion factors are based on the number of registrations
and average of the gCO
2
/km figures provided by SMMT for new hybrid vehicles
registered between 2013 and 2022. These are weighted using DfT's ANPR
(Automatic Number Plate Recognition) data and an uplift applied to account for
‘real-world’ driving.
5.21. The SMMT source dataset used in the derivation of passenger car conversion
factors has information on plug-in hybrid cars, which is utilised as described
below, though has not been used in the calculation of hybrid conversion factors.
5.22. Due to the significant size and weight of the LPG and CNG fuel tanks, it is
assumed only medium and large sized vehicles are available. In the 2023 GHG
Conversion factors, CO
2
conversion factors for CNG and LPG medium and large
cars are derived by multiplying the equivalent petrol EF by the ratio of CNG (and
LPG) to petrol conversion factors on a unit energy (Net CV) basis. For example,
for a Medium car run on CNG:
gCO
km
  
= gCO
km
  
×
gCO
kWh

gCO
kWh

5.23. Conversion factors for CH
4
and N
2
O are based on the emission factors from the
UK GHGI 2019 (Ricardo Energy & Environment, 2021) and updated to align with
AR5 GWP values. The emission factors used in the UK GHGI are based on
COPERT 4 version 11 (EMISIA, 2019).
Plug-in Hybrid Electric and Battery Electric Passenger Cars (xEVs)
5.24. Since the number of electric vehicles (xEVs
18
) in the UK fleet is rapidly
increasing (and will continue to increase in the future), at least for passenger
cars and vans, there is a need for specific conversion factors for such vehicles to
complement conversion factors for vehicles fuelled primarily by petrol, diesel,
natural gas or LPG.
5.25. These conversion factors are currently presented in a number of data tables in
the GHG Conversion factors workbook, according to the type / ‘Scope’ of the
emission component. The following tables / worksheets, shown in Table 14, are
required for BEVs (battery electric vehicles) and PHEVs (plug-in hybrid electric
vehicles), and related REEVs (range-extended electric vehicles). Since there are
still relatively few models available on the market, all PHEVs and REEVs are
grouped into a single category. There are not yet meaningful numbers of fuel cell
electric vehicles (FCEVs) in use, so these are not included at this time.
18
xEVs is a generic term used to refer collectively to battery electric vehicles (BEVs), plug-in hybrid electric
vehicles (PHEVs), range-extended electric vehicles (REEVs, or ER-EVs, or REX) and fuel cell electric vehicles
(FCEVs).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
55
5.26. Table 14 provides an overview of the GHG Conversion Factor tables that have
been developed for the reporting of emissions from electric vehicles, which
aligns with current reporting.
Table 17: Summary of emissions reporting and tables for electric vehicle emission factors
Emission component
Emissions Scope and
Reporting Worksheet
Plug-in hybrid
electric vehicles
(PHEVs)
Battery electric
vehicles
(BEVs)
Direct emissions from
the use of petrol or
diesel
Scope 1:
Passenger vehicles
Delivery vehicles
Yes
(Zero
emissions)
Emissions resulting
from electricity use:
(a) Electricity
Generation
(b) Electricity
Transmission &
Distribution losses
(a) Scope 2:
UK electricity for EVs
(b) Scope 3:
UK electricity T&D for
EVs
Yes Yes
Upstream emissions
from the use of liquid
fuels and electricity
Scope 3:
WTT- passenger
vehicles & travel- land
WTT- delivery vehicles &
freight
Yes Yes
Total GHG emissions
for all components for
not directly owned
/controlled assets
Scope 3:
Business travel- land
Freighting goods
Managed assets-
vehicles
Yes Yes
Data inputs, sources and key assumptions
5.27. A number of data inputs and assumptions were needed to calculate the final
GHG conversion factors for electric cars and vans. Table 15 provides a summary
of the key data inputs, the key data sources and other assumptions used for the
calculation of the final xEV conversion factors.
5.28. The calculation of UK fleet average conversion factors for electric vehicles is
mainly based upon 2010 to 2020 data obtained from the EEA CO
2
monitoring
databases for cars and vans, which are publicly available (EEA, 2021a), (EEA,
2021b). These databases provide details by manufacturer and vehicle type (and
by EU member state) on the annual number of registrations and test cycle
performance for average CO
2
emissions (gCO
2
/km) and electrical energy
consumption (Wh/km, for plug-in vehicles). This allows for the classification of
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
56
vehicles into market segments and the calculation of registrations weighted
average performance figures.
5.29. Starting from 2021, the European Environment Agency (EEA) no longer provides
new UK vehicle data which was previously used in calculating the factors for
xEVs cars. In the 2023 update, the number of new registrations of xEVs cars in
UK in 2021 have been obtained from the UK DfT’s vehicle licensing statistics
data file VEH_0270 (DfT, 2022). Vehicle model specific CO
2
emissions and
energy consumption for individual models are assumed to have remained the
same since the previous year and derived from the previous version of the EEA
database (EEA, 2021b). For new xEVs models that were not included in previous
version of EEA database, their vehicle model specific CO
2
emissions and energy
consumption were assumed to be the same as those values from the same
vehicle models in seven other EEA countries (France, Germany, Ireland,
Belgium, Netherlands, Spain, and Portugal) in the latest EEA database (EEA,
2022).
5.30. The xEV models included in the current databases (which cover registrations up
to the end of 2021) and their allocation to different market segments, are
presented in Table 15. To calculate the corresponding conversion factors for the
tables split by car ‘size’ category, it is assumed segments A and B are ‘Small’
cars, segments C and D are ‘Medium’ cars and all other segments are ‘Large’
cars.
Table 18: xEV car models and their allocation to different market segments
Make
Model
UK
Segment
UK Segment
Name
BEV
PHEV
AUDI
A3
C
Lower Medium
-
Yes
AUDI
A5
E
Executive
Yes
-
AUDI
A6
E
Executive
-
Yes
AUDI
A7
E
Executive
-
Yes
AUDI
A8
F
Luxury Saloon
-
Yes
AUDI
E-TRON
H
Dual Purpose
Yes
-
AUDI
Q3
H
Dual Purpose
-
Yes
AUDI
Q4
H
Dual Purpose
Yes
-
AUDI
Q5
H
Dual Purpose
-
Yes
AUDI
Q7
H
Dual Purpose
-
Yes
AUDI
Q8
H
Dual Purpose
-
Yes
BENTLEY
BENTAYGA
F
Luxury Saloon
-
Yes
BMW
I3
B
Supermini
Yes
-
BMW
I3 REEV
B
Supermini
-
Yes
BMW
I4
D
Upper Medium
Yes
-
BMW
I8
G
Specialist
Sports
-
Yes
BMW
IX
H
Dual Purpose
Yes
-
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
57
Make
Model
UK
Segment
UK Segment
Name
BEV
PHEV
BMW
IX3
H
Dual Purpose
Yes
-
BMW
SERIES 2
C
Lower Medium
-
Yes
BMW
SERIES 3
D
Upper Medium
-
Yes
BMW
SERIES 5
E
Executive
-
Yes
BMW
SERIES 7
F
Luxury Saloon
-
Yes
BMW
X1
H
Dual Purpose
-
Yes
BMW
X2
H
Dual Purpose
-
Yes
BMW
X3
H
Dual Purpose
-
Yes
BMW
X5
H
Dual Purpose
-
Yes
BYD
E6Y
C
Lower Medium
Yes
-
CHEVROLET/
DAEWOO
VOLT
C
Lower Medium
-
Yes
CITROEN
BERLINGO
I
Multi Purpose
Vehicle
Yes
-
CITROEN
C4
C
Lower Medium
Yes
-
CITROEN
C5
D
Upper Medium
-
Yes
CITROEN
C-ZERO
A
Mini
Yes
-
CITROEN
E-SPACE
TOURER
I
Multi Purpose
Vehicle
Yes
-
DS
DS3
B
Supermini
Yes
-
DS
DS7
H
Dual Purpose
-
Yes
DS
DS9
E
Executive
-
Yes
FERRARI
SF90
G
Specialist
Sports
-
Yes
FIAT/ALFA ROMEO
500
A
Mini
Yes
-
FORD
FOCUS
C
Lower Medium
Yes
-
FORD
KUGA
H
Dual Purpose
-
Yes
FORD
MUSTANG
H
Dual Purpose
Yes
-
FORD
MONDEO
D
Upper Medium
-
Yes
FORD
TOURNEO
H
Dual Purpose
-
Yes
HONDA
E'
B
Supermini
Yes
-
HYUNDAI
IX 35/TUCSON
H
Dual Purpose
-
Yes
HYUNDAI
KONA
H
Dual Purpose
Yes
-
HYUNDAI
IONIQ
C
Lower Medium
Yes
Yes
HYUNDAI
SANTA FE
H
Dual Purpose
-
Yes
JAGUAR
E-PACE
C
Lower Medium
-
Yes
JAGUAR
F-PACE
C
Lower Medium
-
Yes
JAGUAR
I-PACE
H
Dual Purpose
Yes
-
JEEP
COMPASS
H
Dual Purpose
-
Yes
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
58
Make
Model
UK
Segment
UK Segment
Name
BEV
PHEV
JEEP
RENEGADE
H
Dual Purpose
-
Yes
KIA
CEE'D
C
Lower Medium
-
Yes
KIA
EV6
C
Lower Medium
Yes
-
KIA
OPTIMA
D
Upper Medium
-
Yes
KIA
SORENTO
H
Dual Purpose
-
Yes
KIA
SOUL
C
Lower Medium
Yes
-
KIA
NIRO
H
Dual Purpose
Yes
Yes
KIA
XCEED
H
Dual Purpose
-
Yes
LAND ROVER
DEFENDER
H
Dual Purpose
-
Yes
LAND ROVER
DISCOVERY
H
Dual Purpose
-
Yes
LAND ROVER
RANGE ROVER
H
Dual Purpose
-
Yes
LAND ROVER
RANGE ROVER
EVOQUE
H
Dual Purpose
-
Yes
LAND ROVER
RANGE ROVER
SPORT
H
Dual Purpose
-
Yes
LAND ROVER
RANGE ROVER
VELAR
H
Dual Purpose
-
Yes
LEVC
TX
I
Multi Purpose
Vehicle
-
Yes
LEXUS
UX
H
Dual Purpose
Yes
-
MAHINDRA
E20PLUS
C
Lower Medium
Yes
-
MAZDA
MX30
C
Lower Medium
Yes
-
MCLAREN
P1
G
Specialist
Sports
-
Yes
MCLAREN
SPEEDTAIL
G
Specialist
Sports
-
Yes
MERCEDES BENZ
A CLASS
B
Supermini
Yes
-
MERCEDES BENZ
A CLASS (2012)
C
Lower Medium
-
Yes
MERCEDES BENZ
B CLASS
C
Lower Medium
Yes
Yes
MERCEDES BENZ
C CLASS
D
Upper Medium
-
Yes
MERCEDES BENZ
CLA
D
Upper Medium
-
Yes
MERCEDES BENZ
E CLASS
E
Executive
-
Yes
MERCEDES BENZ
EQA
C
Lower Medium
Yes
-
MERCEDES BENZ
EQC
H
Dual Purpose
Yes
-
MERCEDES BENZ
EQS
F
Luxury Saloon
Yes
-
MERCEDES BENZ
EQV
I
Multi Purpose
Vehicle
Yes
-
MERCEDES BENZ
EVITO
I
Multi Purpose
Vehicle
Yes
-
MERCEDES BENZ
GL
H
Dual Purpose
-
Yes
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
59
Make
Model
UK
Segment
UK Segment
Name
BEV
PHEV
MERCEDES BENZ
GLA
C
Lower Medium
-
Yes
MERCEDES BENZ
GLC
H
Dual Purpose
-
Yes
MERCEDES BENZ
GLE
H
Dual Purpose
-
Yes
MERCEDES BENZ
S CLASS
F
Luxury Saloon
-
Yes
MG
HS
I
Multi Purpose
Vehicle
-
Yes
MG
MG 5
D
Upper Medium
Yes
-
MG
ZS
H
Dual Purpose
Yes
-
MIA
MIA
A
Mini
Yes
-
MINI
COOPER
B
Supermini
Yes
-
MINI
COUNTRYMAN
C
Lower Medium
-
Yes
MITSUBISHI
I-MIEV
A
Mini
Yes
-
MITSUBISHI
OUTLANDER
H
Dual Purpose
-
Yes
NISSAN
370Z
G
Specialist
Sports
Yes
-
NISSAN
DYNAMO
I
Multi Purpose
Vehicle
Yes
-
NISSAN
E-NV200
I
Multi Purpose
Vehicle
Yes
-
NISSAN
LEAF
C
Lower Medium
Yes
-
OPEL
AMPERA
D
Upper Medium
-
Yes
OPEL
ASTRA
C
Lower Medium
-
Yes
OPEL
COMBO
I
Multi Purpose
Vehicle
Yes
-
OPEL
CORSA
B
Supermini
Yes
-
OPEL
GRANDLAND
I
Multi Purpose
Vehicle
-
Yes
OPEL
MOKKA
C
Lower Medium
Yes
-
OPEL
VIVARO
V
Van
Yes
-
PEUGEOT
208
B
Supermini
Yes
-
PEUGEOT
308
C
Lower Medium
-
Yes
PEUGEOT
508
D
Upper Medium
-
Yes
PEUGEOT
2008
C
Lower Medium
Yes
-
PEUGEOT
3008
H
Dual Purpose
-
Yes
PEUGEOT
ION
A
Mini
Yes
-
PEUGEOT
RIFTER
V
Van
Yes
-
PEUGEOT
TRAVELLER
V
Van
Yes
-
PORSCHE
918
G
Specialist
Sports
-
Yes
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
60
Make
Model
UK
Segment
UK Segment
Name
BEV
PHEV
PORSCHE
CAYENNE
H
Dual Purpose
-
Yes
PORSCHE
PANAMERA
F
Luxury Saloon
-
Yes
PORSCHE
TAYCAN
G
Specialist
Sports
Yes
-
RENAULT
FLUENCE Z.E.
D
Upper Medium
Yes
-
RENAULT
KANGOO
I
Multi Purpose
Vehicle
Yes
-
RENAULT
MEGANE
C
Lower Medium
-
Yes
RENAULT
CAPTUR
H
Dual Purpose
-
Yes
RENAULT
ZOE
C
Lower Medium
Yes
-
SEAT
FORMENTOR
H
Dual Purpose
-
Yes
SEAT
LEON
C
Lower Medium
-
Yes
SEAT
MII
A
Mini
Yes
-
SKODA
CITIGO
A
Mini
Yes
-
SKODA
ENYAQ
H
Dual Purpose
Yes
-
SKODA
OCTAVIA
D
Upper Medium
-
Yes
SKODA
SUPERB
E
Executive
-
Yes
SMART
FORTWO
A
Mini
Yes
-
SMART
FORFOUR
B
Supermini
Yes
-
SUZUKI
ACROSS
H
Dual Purpose
-
Yes
TESLA
MODEL 3
E
Executive
Yes
-
TESLA
MODEL S
F
Luxury Saloon
Yes
-
TESLA
MODEL X
H
Dual Purpose
Yes
-
TESLA
ROADSTER
G
Specialist
Sports
Yes
-
THINK
THINKCITY
A
Mini
Yes
-
TOYOTA
PRIUS
C
Lower Medium
-
Yes
TOYOTA
RAV4
H
Dual Purpose
-
Yes
VOLKSWAGEN
ARTEON
D
Upper Medium
-
Yes
VOLKSWAGEN
E-GOLF
C
Lower Medium
Yes
-
VOLKSWAGEN
E-UP
A
Mini
Yes
-
VOLKSWAGEN
GOLF
C
Lower Medium
-
Yes
VOLKSWAGEN
ID3
C
Lower Medium
Yes
-
VOLKSWAGEN
ID4
H
Dual Purpose
Yes
-
VOLKSWAGEN
PASSAT
D
Upper Medium
-
Yes
VOLKSWAGEN
TIGUAN
H
Dual Purpose
-
Yes
VOLKSWAGEN
TOUAREG
H
Dual Purpose
-
Yes
VOLKSWAGEN
UP
A
Mini
Yes
-
VOLVO
C40
C
Lower Medium
Yes
-
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
61
Make
Model
UK
Segment
UK Segment
Name
BEV
PHEV
VOLVO
POLESTAR
E
Executive
Yes
Yes
VOLVO
S60
D
Upper Medium
-
Yes
VOLVO
S90
E
Executive
-
Yes
VOLVO
V60
D
Upper Medium
-
Yes
VOLVO
V90
E
Executive
-
Yes
VOLVO
XC40
H
Dual Purpose
Yes
Yes
VOLVO
XC60
H
Dual Purpose
-
Yes
VOLVO
XC90
H
Dual Purpose
-
Yes
Notes: Only includes models with registrations in the UK fleet up to the end of 2021 (DfT, 2022).
5.31. During the derivation of the conversion factors, many discrepancies were found
in the EEA CO
2
monitoring databases for the gCO
2
/km and Wh/km data for
certain models, which were then updated based on other sources of official
regulatory type-approval data, for example from manufacturer’s websites, EV
Database (EV Database, 2022) and the Green Car Guide (Green Car Guide,
2022).
5.32. Consistent with the approach used for the calculation of conversion factors for
conventionally fuelled passenger cars, the gCO
2
/km and Wh/km figures from
type approval with NEDC need adjusting to account for real-world performance
(charging losses are already accounted for under the type approval methodology
(VDA, 2014)). Several assumptions are therefore made in order to calculate
adjusted ‘Real-World’ energy consumption and emission factors. These
assumptions were discussed and agreed with DfT.
5.33. As for conventional vehicles (see earlier section for petrol and diesel cars), there
has been a transition from NEDC to the new regulatory test WLTP. However,
NEDCe values are still reported for checking compliance with EU CO
2
targets for
new cars and vans, the majority of vehicles in the UK fleet are registered before
2020 and so the reported emission and electricity consumption values for BEVs
and PHEVs are still based on the previous NEDC testing regime or both NEDC
and WLTP values are provided. Therefore, the GHG CF calculations for xEVs
are unchanged for the 2023 update but will be amended in the future to reflect
the change in the data for new vehicle registrations that were only based on
WLTP testing regime.
5.34. A further complication for PHEVs is that the real-world electric range is lower
than that calculated on the standard regulatory testing protocol, which also
needs to be accounted for in the assumption of the average share of total km
running on electricity. Figure 4 illustrates the utility function used to calculate the
share of electric km based on the electric range of a PHEV. Real-World factors
for average gCO
2
/km and Wh/km for PHEVs are therefore further adjusted based
on the ratio of calculated electric shares of total km under Test-Cycle and Real-
World conditions.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
62
5.35. The key assumptions used in the calculation of adjusted Real-World gCO
2
/km
and Wh/km figures are summarised in Table 16. The calculated real-world
figures for individual vehicle models are used to calculate the final registrations-
weighted average factors for different vehicle segments/sizes. These are then
combined with other GHG Conversion factors to calculate the final set of
conversion factors for different Scopes/reporting tables (i.e. as summarised in
earlier Table 14).
Table 19: Summary of key data elements, sources and key assumptions used in the
calculation of GHG conversion factors for electric cars and vans
Data type Raw data source Other notes
Numbers of
registrations of
different vehicle
types/models
Reported for GB by vehicle
make/model in EEA CO
2
monitoring databases:
Data for 2010-2020 for cars
Data for 2012-2020 for vans
For 2021 new registration
numbers, since EEA no longer
provides GB data, UK DfT’s
vehicle licensing statistics data
file VEH_0270 (DfT, 2022) was
used instead:
Data for 2021 for cars
Data for 2021 for vans
This data is used in conjunction
with CO
2
/km and Wh/km data to
calculate registrations-weighted
average figures by market
segment or vehicle size category.
CO
2
emissions from
petrol or diesel fuel use
per km (test-cycle)
As for registrations Zero for BEVs. For PHEVs, the
conversion factors are for the
average share of km driven in
charge-sustaining mode / average
liquid fuel consumption per km.
Wh electricity
consumption per km
(test-cycle)
As for registrations Average electricity consumption
per average km (i.e. factoring in
for PHEVs that only a fraction of
total km will be in electric mode).
Test-Cycle to Real-
World conversion for
gCO
2
/ km
Assumption based on literature,
consistent with the source used
for the car EFs for conventional
powertrains.
An uplift of 35% is applied to the
test-cycle emission component.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
63
Data type Raw data source Other notes
Test-Cycle to Real-
World conversion for
Wh per km
Assumption based on best
available information on the
average difference between
test-cycle and real-world
performance
An uplift of 40% is applied to the
test-cycle electrical energy
consumption component. This is
consistent with the uplift currently
being used in the analysis for the
EC DG CLIMA, developed/agreed
with the EC’s JRC.
Electric range for
PHEVs under Test-
Cycle conditions
Available from various public
sources for specific models
Values representative of the
models currently available on the
market are used, i.e. generally
between 30-50km. The notable
exception is the BMW i3 REX,
which was 200km up to 2015.
Electric range for
PHEVs under Real-
World conditions
Calculated based on Test-Cycle
electric range and Test-Cycle to
Real-World conversion for Wh
per km
Calculated based on Test-Cycle
electric range and Test-Cycle to
Real-World conversion for Wh/km
Share of electric km on
Test-Cycle
Calculated using the standard
formula used in type-approval*:
Electric km % = 1 (25 / (25 +
Electric km range))
Uses Test-Cycle electric range in
km
Share of electric km in
Real-World conditions
Calculated using standard
formula*: Electric km % = 1
(25 / (25 + Electric km range))
Uses Real-World electric range in
km
Loss factor for electric
charging
N/A
Charging losses are already
accounted for under the type
approval testing protocol in the
Wh/km dataset.
GHG conversion
factors for electricity
consumption
UK electricity conversion factors
(kgCO
2
e / kWh):
Electricity generated
Electricity T&D
WTT electricity generated
WTT electricity T&D
From the UK GHG Conversion
factors model outputs for UK
Electricity
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
64
Data type Raw data source Other notes
CH
4
, N
2
O and WTT
CO
2
e emissions from
petrol /diesel use
Calculated based on derived
Real-World g/km for petrol
/diesel.
Calculation uses GHG
Conversion factors for
petrol/diesel: uses the ratio of
direct CO
2
emission component
to CH
4
, N
2
O or WTT CO
2
e
component for petrol/diesel.
Notes: * the result of this formula is illustrated in Figure 4 below.
Figure 4: Illustration of the relationship of electric range to average electric share of total
km for PHEVs assumed in the calculations
Notes: Calculated by Ricardo based on the standard formula used for NEDC: Electric km % = 1 (25 / (25 + Electric km range))
Conversion factors by Passenger Car Market Segments
5.36. For the 2023 GHG Conversion factors, the market classification split (according
to SMMT classifications) was derived using detailed SMMT data on new car
registrations between 2006 and 2022 split by fuel (Table 17) and again
combining this with information extracted from the 2021 ANPR dataset.
Adjustment factors are then applied to consider ‘real-world’ impacts and the
biofuel content of fuels, consistent with the methodology used to derive the car
engine size emission factors.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
65
5.37. Conversion factors for CH
4
and N
2
O are based on the emission factors from the
UK GHGI 2019 (Ricardo Energy & Environment, 2021) and updated to align with
AR5 GWP values. The emission factors used in the UK GHGI are based on
COPERT 4 version 11 (EMISIA, 2019).
5.38. The supplementary market segment based conversion factors for passenger
cars are presented in the ‘Passenger vehicles’ and ‘Business travel- land’
worksheets of the 2023 GHG Conversion factors set.
Table 20: Average car CO
2
conversion factors and total registrations by market segment
for 2006 to 2022 (based on data sourced from SMMT)
Fuel
Type
Market
Segment
Example Model
NEDC*
gCO
2
per
km
WLTP
gCO
2
per
km
Registrations % Total
Diesel
A. Mini Smart Fortwo 90.4 N/A 7,557 0.1%
B. Super Mini VW Polo 107.0 119.5 1,596,399 10.89%
C. Lower
Medium
Ford Focus
116.4 129.4 4,206,617 28.71%
D. Upper
Medium
Toyota Avensis
132.6 146.0 2,791,512 19.05%
E. Executive BMW 5-Series 141.4 153.0 1,274,277 8.70%
F. Luxury
Saloon
Bentley
Continental GT
175.9 177.9 77,355 0.53%
G. Specialist
Sports
Mercedes CLS
135.7 179.8 120,388 0.82%
H. Dual Purpose
Land Rover
Discovery
162.9 178.3 3,382,961 23.08%
I. Multi-Purpose Renault Espace 142.9 174.9 1,197,420 8.17%
All Total 133.4 162.0 14,654,486 100%
Petrol
A. Mini Smart Fortwo 108.9 123.0 801,238 3.94%
B. Super Mini VW Polo 123.0 128.3 10,393,917 51.10%
C. Lower
Medium
Ford Focus
143.7 142.2 5,327,022 26.19%
D. Upper
Medium
Toyota Avensis
172.4 163.2 990,596 4.87%
E. Executive BMW 5-Series 183.7 190.5 311,618 1.53%
F. Luxury
Saloon
Bentley
Continental GT
276.7 275.2 55,241 0.27%
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
66
Fuel
Type
Market
Segment
Example Model
NEDC*
gCO
2
per
km
WLTP
gCO
2
per
km
Registrations % Total
G. Specialist
Sports
Mercedes CLS
204.7 216.3 573,978 2.82%
H. Dual Purpose
Land Rover
Discovery
167.4 177.4 1,320,163 6.49%
I. Multi-Purpose Renault Espace 161.3 151.0 566,870 2.79%
All Total 137.3 145.1 20,340,643 100%
Unknow
n Fuel
(Diesel +
Petrol)
A. Mini Smart Fortwo 108.6 123.0 808,795 2.31%
B. Super Mini VW Polo 120.5 128.1 11,990,316 34.26%
C. Lower
Medium
Ford Focus
130.3 140.5 9,533,639 27.24%
D. Upper
Medium
Toyota Avensis
142.4 156.2 3,782,108 10.81%
E. Executive BMW 5-Series 148.6 167.5 1,585,895 4.53%
F. Luxury
Saloon
Bentley
Continental GT
216.1 233.4 132,596 0.38%
G. Specialist
Sports
Mercedes CLS
189.2 215.7 694,366 1.98%
H. Dual Purpose
Land Rover
Discovery
163.9 177.8 4,703,124 13.44%
I. Multi-Purpose Renault Espace 148.9 168.6 1,764,290 5.04%
All Total 135.4 148.3 34,995,129 100%
* For 2019 and 2018, NEDCe reported data is converted to NEDC, based on an estimated 9% correlation factor from
SMMT based on analysis of vehicle models where both NEDC and NEDCe values exist. NEDCe (NEDC equivalent)
data are officially reported figures calculated from WLTP using an official regulatory correlation tool. They are used
to check compliance of new vehicle registrations with the EU-wide regulatory CO
2
targets set on NEDC basis.
Direct Emissions from Taxis
5.39. The conversion factors for black cabs are based on data provided by Transport
for London (TfL)
19
on the testing of emissions from black cabs using real-world
London Taxi cycles, and an average passenger occupancy of 1.5 (average 2.5
people per cab, including the driver) from LTI, 2007a more recent source has
not yet been identified. This methodology accounts for the significantly different
operational cycle of black cabs/taxis in the real world when compared to the
19
The data was provided by TfL in a personal communication and is not available in a public TfL source.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
67
NEDC (official vehicle type-approval) values, which significantly increases the
emission factor (by ~40% vs NEDC).
5.40. The conversion factors (per passenger km) for regular taxis were estimated
based on the average type-approval CO
2
factors for medium and large cars,
uplifted by the same factor as for black cabs (i.e. 40%, based on TfL data) to
reflect the difference between the type-approval figures and those operating a
real-world taxi cycle (i.e. based on different driving conditions to average car
use), plus an assumed average passenger occupancy of 1.4 (L.E.K. Consulting,
2002).
5.41. Conversion factors per passenger km for taxis and black cabs are presented in
the ‘Business travel- land’ worksheet of the 2023 GHG Conversion factors set.
The base conversion factors per vehicle km are also presented in the ‘Business
travel- land’ worksheet of the 2023 GHG Conversion factors set.
5.42. Conversion factors for CH
4
and N
2
O are based on the conversion factors for
diesel cars from the UK GHGI 2019 (Ricardo Energy & Environment, 2021),
updated to align with AR5 GWP values and are presented together with the
overall total conversion factors in the ‘Business travel- land’ worksheet of the
2023 GHG Conversion factors set.
5.43. It should be noted that the current conversion factors for taxis do not take into
account emissions spent from “cruising” for fares. Currently, robust data sources
do not exist that could inform such an "empty running" factor. If suitably robust
sources are identified in the future, the methodology for taxis may be revisited
and revised in a future update to account for this.
Direct Emissions from Vans/Light Goods Vehicles (LGVs)
5.44. Average conversion factors by fuel, for vans/light good vehicles (LGVs: N1
vehicles, vans up to 3.5 tonnes gross vehicle weight - GVW) and by size (Class
I, II or III) are presented in Table 18 and in the “Delivery vehicles” worksheet of
the 2023GHG Conversion factors set.
5.45. Conversion factors for petrol and diesel vans/LGVs are based upon emission
factors and vehicle km for average sized LGVs from the UK GHGI for 2021. For
the years 2012-2020, the CO
2
emissions factors for different size classes are
estimated relative to quantitative analysis of the EEA dataset as detailed in
previous updates. The EEA no longer provides a UK vehicle dataset and so the
2021 new LGV registrations are obtained from the UK DfT table VEH0160_GB
(DfT and DVLA, 2022) and matched with reference weight data from the
previous version of the EEA database (EEA, 2021b) , as outlined below in more
detail. These conversion factors are further uplifted by 15% to represent ‘real-
world’ emissions (i.e. also factoring in typical vehicle loading versus unloaded
test-cycle based results), consistent with the previous approach used for cars,
and agreed with DfT in the absence of a similar time-series dataset of ‘real-world’
vs type-approval emissions from vans (see earlier section on passenger cars). In
a future update, it is envisaged this uplift will be further reviewed.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
68
5.46. The dataset used to allocate different vehicles to each van class is based on a
reference weight (approximately equivalent to kerb weight plus 60kg) provided in
the EEA van CO
2
monitoring database (EEA, 2021b) and are carried over from
the previous update in absence of new EEA data, on the assumption that there is
unlikely to be significant changes in reference weight on a model by model basis
from the previous year. The dataset holds a variety of information about new
vans registered between 2012 and 2020 (the most recent year available for UK
vehicles) and is used to derive the split of petrol and diesel van stock between
size classes, as well as the CO
2
emissions performance of different petrol/diesel
van size categories. Importantly, this dataset is also the basis of the average van
loading capacity calculations (see later section on van freight emission factors),
and has previously been updated each year as new data becomes available
from the EEA. With the EEA no longer providing UK data, responsibility of
publishing the data has become that of VCA (Vehicle Certification Agency).
However, the VCA data for 2021 was not available at the time the 2023 update
was compiled. For future updates we expect to be able to use the VCA dataset
as an equivalent to the EEA data. In the 2023 update, CO
2
conversion factors for
CNG and LPG vans are calculated from the conversion factors for conventionally
fuelled vans using the same methodology as for passenger cars (section 5.22).
The average van conversion factor is calculated based on the relative UK GHGI
vehicle km for petrol and diesel vans for 2021, as presented in Table 18.
5.47. Conversion factors for CH
4
and N
2
O are based on the conversion factors from
the UK GHG Inventory 2019 (Ricardo Energy & Environment, 2021) and updated
to align with AR5 GWP values.
5.48. As a final additional step, an accounting for biofuel use has been included in the
calculation of the final vans/LGVs emission factors.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
69
Table 21: New conversion factors for vans for the 2023 GHG Conversion factors
Van fuel Van size
Direct gCO
2
e per km vkm
Payload
Capacity
CO
2
CH
4
N
2
O Total % split Tonnes
Petrol (Class I)
Up to 1.305
tonne
185.9 0.2 0.5 186.6 9.1% 0.47
Petrol (Class II)
1.305 to 1.740
tonne
197.3 0.2 0.5 198.0 86.8% 0.59
Petrol (Class III)
Over 1.740
tonne
302.8 0.2 0.5 303.5 4.2% 1.07
Petrol (average)
Up to 3.5
tonne
200.6 0.2 0.5 201.3 100.0% 0.60
Diesel (Class I)
Up to 1.305
tonne
145.4 0.0 1.9 147.3 2.8% 0.57
Diesel (Class II)
1.305 to 1.740
tonne
175.3 0.0 1.9 177.1 24.5% 0.87
Diesel (Class III)
Over 1.740
tonne
251.2 0.0 1.9 253.1 72.7% 1.08
Diesel
(average)
Up to 3.5
tonne
229.6 0.0 1.9 231.5 100.0% 1.01
LPG Up to 3.5 tonne 254.5 0.0 0.6 255.1 100.0% 1.01
CNG Up to 3.5 tonne 230.3 1.2 0.6 232.0 100.0% 1.01
Average 228.7 0.0 1.8 230.6 100.0% 1.01
Plug-in Hybrid Electric and Battery Electric Vans (xEVs)
5.49. As outlined earlier for cars, since the number of electric cars and vans (xEVs
20
)
in the UK fleet is rapidly increasing, there is now a need to include specific
conversion factors for such vehicles to complement the existing conversion
factors for other vehicle types.
5.50. The methodology, data sources and key assumptions utilised in the development
of the conversion factors for xEVs are the same for vans as outlined earlier for
cars.
5.51. It should be noted that only models with registrations in the UK fleet up to the
end of 2021 are included in the model.
5.52. Table 19 provides a summary of the van models registered into the UK market
by the end of 2021 (the most recent data year for the source UK DfT’s vehicle
20
xEVs is a generic term used to refer collectively to battery electric vehicles (BEVs), plug-in hybrid electric vehicles
(PHEVs), range-extended electric vehicles (REEVs, or ER-EVs, or REX) and fuel cell electric vehicles (FCEVs).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
70
licensing statistics data file VEH_0270 (DfT, 2022) at the time of the
development of the 2023 GHG Conversion factors). At this point, the vast
majority of models registered are battery electric vehicles (BEV) and so only
BEVs are considered in the conversion factors. Plug-in hybrid electric vehicle
(PHEV) registrations are expected to increase in the EEA database and a
methodology will be developed to accommodate them in future updates to the
conversion factors.
Table 22: xEV van models and their allocation to different size categories
Make Model Van
Segment
BEV PHEV
ALKE
ATX
Class II
Yes
-
BYD
ETP3
Class III
Yes
-
CITROEN
BERLINGO
Class II
Yes
-
CITROEN
E-DISPATCH
Class III
Yes
-
CITROEN
RELAY
Class III
Yes
-
FIAT
DUCATO
Class III
Yes
-
FORD
TRANSIT CONNECT
Class III
Yes
-
GOUPIL
G4
Class I
Yes
-
IVECO
DAILY
Class III
Yes
-
LDV
EV80
Class III
Yes
-
MAN
ETGE
Class III
Yes
-
MERCEDES
VITO
Class III
Yes
-
MERCEDES
ESPRINTER
Class III
Yes
-
MERCEDES
EVITO
Class III
Yes
-
MIA
MIA
Class I
Yes
-
NISSAN
E-NV200
Class II
Yes
-
OPEL
COMBO
Class II
Yes
-
OPEL
VIVARO
Class III
Yes
-
PEUGEOT
EXPERT
Class III
Yes
-
PEUGEOT
PARTNER
Class II
Yes
-
RENAULT
MASTER
Class III
Yes
-
RENAULT
KANGOO
Class II
Yes
-
RENAULT
ZOE
Class II
Yes
-
SAIC MAXUS
E DELIVER
Class III
Yes
-
SAIC MAXUS
V80
Class III
Yes
-
TATA
ACE
Class I
Yes
-
TOYOTA
PROACE
Class III
Yes
-
VOLKSWAGEN
ETRANSPORTER
Class III
Yes
-
Notes: Only includes models with registrations in the UK fleet up to the end of 2021
5.53. All other methodological details are as already outlined for xEV passenger cars.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
71
Direct Emissions from Buses
5.54. The 2015 and earlier updates used data from DfT from the Bus Service
Operators Grant (BSOG) in combination with DfT bus activity statistics (vehicle
km, passenger km, average passenger occupancy) to estimate conversion
factors for local buses. DfT holds very accurate data on the total amount of
money provided to bus service operators under the scheme, which provides a
fixed amount of financial support per unit of fuel consumed. Therefore, the total
amount of fuel consumed (and hence CO
2
emissions) could be calculated from
this, which when combined with DfT statistics on total vehicle km, bus occupancy
and passenger km allow the calculation of emission factors
21
.
5.55. From the 2016 update onwards, it was necessary to make some methodological
changes to the calculations due to changes in the Scope/coverage of the
underlying DfT datasets, which include:
a) BSOG data are now only available for commercial services, and not also for local
authority supported services.
b) BSOG data are now only available for England, outside of London: i.e. data are no
longer available for London, due to a difference in how funding for the city is
managed/provided, nor for other parts of the UK.
5.56. The conversion factors for buses account for additional direct CO
2
emissions
from the use of selective catalytic reduction (SCR). This technology uses a urea
solution (also known as ‘AdBlue’) to effectively remove NO
x
and NO
2
from diesel
engines’ exhaust gases; this process occurs over a specially formulated catalyst.
The urea solution is injected into the vehicles’ exhaust system before harmful
NO
x
emissions are generated from the tail pipe. When the fuel is burnt, urea
solution is injected into the SCR catalyst to convert the NO
x
into a less harmful
mixture of nitrogen and water vapour; small amounts of carbon dioxide are also
produced as a result of this reaction. Emissions from the consumption of urea in
buses have been included in the estimates for overall CO
2
conversion factors for
buses. A summary of the key assumptions used in the calculation of emissions
from urea is provided in the following Table 20. These are based on assumptions
in the EMEP/EEA Emissions Inventory Guidebook (EEA, 2019).
Table 23: Key assumptions used in the calculation of CO
2
emissions from Urea (aka
‘AdBlue’) use
CO
2
EF for urea
consumption
(kgCO
2
/kg urea
solution)1
Percentage of
vehicles using
urea
Urea consumption rate as a
percentage of fuel consumed
by vehicles using urea
Euro IV
0.238
75%
4%
Euro V
0.238
75%
6%
Euro VI
0.238
100%
3.5%
21
The robustness of the BSOG data has reduced over the years because of the changes to the way BSOG is paid
to operators and local authorities. Approximations have been made in recent update years where data was not
available (based on previous year data) and a revised methodology has commenced from 2016.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
72
Notes:
1
Assumes 32.5% (by mass) aqueous solution of urea
5.57. Briefly, the main calculation for local buses can be summarised as follows:
a) Total fuel consumption (Million litres) = Total BSOG (£million) / BSOG fuel rate
(p/litre) x 100
b) Total bus passenger-km (Million pkm) = Total activity (Million vkm) x Average bus
occupancy (#)
c) Average fuel consumption (litres/pkm) = Total fuel consumption / Total bus
passenger-km
d) Average bus emission factor = Average fuel consumption x Fuel Emission Factor
(kgCO
2
e/litre) + Average Emission Factor from Urea Use
5.58. As a final additional step, biofuel use is accounted for in the final bus emission
factors.
5.59. Conversion factors for coach services were estimated based on figures from
National Express, who provide the majority of scheduled coach services in the
UK.
5.60. Conversion factors for CH
4
and N
2
O are based on the conversion factors from
the UK GHG Inventory 2019 and updated to align with AR5 GWP values. These
factors are also presented together with an overall total factor in Table 21.
5.61. Table 21 gives a summary of the 2023 GHG Conversion factors and average
passenger occupancy. It should also be noted that fuel consumption and
conversion factors for individual operators and services will vary significantly
depending on the local conditions, the specific vehicles used and on the typical
occupancy achieved.
Table 24: Conversion factors for buses for the 2023 GHG Conversion factors
Bus type
Average passenger
occupancy
gCO
2
e per passenger km
CO
2
CH
4
N
2
O Total
Local bus (not London) 10.09 117.80 0.02 1.05 118.87
Local London bus 20.04 78.06 0.01 0.49 78.56
Average local bus 12.63 101.70 0.01 0.83 102.54
Coach 17.56 26.77 0.01 0.54 27.32
Notes: Average load factors/passenger occupancy mainly taken from DfT Bus statistics, Table BUS0304 “Average
bus occupancy on local bus services by metropolitan area status and country: Great Britain, annual from 2004/05”.
* Combined figure based on data from DfT for non-local buses and coaches combined calculated based on an
average of the last 5 years for which this was available (up to 2007). Actual occupancy for coaches alone is likely to
be significantly higher.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
73
Direct Emissions from Motorcycles
5.62. Motorcycles factors remain constant since the publish of 2021 GHG Conversion
factors but have been updated to align with AR5 instead of AR4 GWP values.
5.63. Data from type approval is not currently readily available for motorbikes and CO
2
emission measurements were only mandatory in motorcycle type approval from
2005.
5.64. Conversion factors for motorcycles are split into 3 categories:
a) Small motorbikes (mopeds/scooters up to 125cc);
b) Medium motorbikes (125-500cc); and
c) Large motorbikes (over 500cc).
5.65. The conversion factors are calculated based on a large dataset kindly provided
by (Clear, 2008)
22
, based on a mix of magazine road test reports and user
reported data. A summary is presented in Table 22, with the corresponding
complete conversion factors developed for motorcycles presented in the
‘Passenger vehicles’ worksheet of the 2023 GHG Conversion factors set. The
total average has been calculated weighted by the relative number of
registrations of each category according to DfT licencing statistics for 2019
(DVLA, 2020).
5.66. These conversion factors are based predominantly on data derived from real-
world riding conditions (rather than test-cycle based data) and are therefore likely
to be more representative of typical in-use performance. The average difference
between the factors based on real-world observed fuel consumption and other
figures based upon test-cycle data from the European Motorcycle Manufacturers
Association (ACEM) (+9%) is smaller than the corresponding differential
previously used to uplift cars and vans test cycle data to real-world equivalents
(+15%).
5.67. Conversion factors for CH
4
and N
2
O are based on the conversion factors from
the UK GHGI 2019 (Ricardo Energy & Environment, 2021) and have been
updated to align with AR5 GWP values. These factors are also presented
together with overall total conversion factors in the “Passenger vehicles”,
“Business travel -land”, and “Managed assets- vehicles” worksheets of the 2023
GHG Conversion factors set.
Table 25: Summary dataset on CO
2
emissions from motorcycles based on detailed data
provided by Clear (2008)
CC Range
Model Count
Number
Av. gCO
2
/km
Av. MPG*
Up to 125cc 24 58 85.0 77.3
125cc to 200cc 3 13 77.8 84.4
200cc to 300cc
16
57
93.1
70.5
22
Dataset of motorcycle fuel consumption compiled by Clear (http://www.clear-offset.com/) for the development of
its motorcycle CO
2
model used in its carbon offsetting products.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
74
CC Range
Model Count
Number
Av. gCO
2
/km
Av. MPG*
300cc to 400cc 8 22 112.5 58.4
400cc to 500cc
9
37
122.0
53.9
500cc to 600cc 24 105 139.2 47.2
600cc to 700cc 19 72 125.9 52.2
700cc to 800cc
21
86
133.4
49.3
800cc to 900cc 21 83 127.1 51.7
900cc to 1000cc 35 138 154.1 42.6
1000cc to 1100cc
14
57
135.6
48.5
1100cc to 1200cc
23
96
136.9
48.0
1200cc to 1300cc 9 32 136.6 48.1
1300cc to 1400cc 3 13 128.7 51.1
1400cc to 1500cc
61
256
132.2
49.7
1500cc to 1600cc 4 13 170.7 38.5
1600cc to 1700cc 5 21 145.7 45.1
1700cc to 1800cc
3
15
161.0
40.8
1800cc to 1900cc 0 0 0.0
1900cc to 2000cc 0 0 0.0
2000cc to 2100cc
1
5
140.9
46.6
<125cc
24
58
85.0
77.3
126-500cc
36
129
103.2
63.7
>500cc
243
992
137.2
47.9
Total
303
1179
116.9
56.2
Note: Summary data based on data provided by Clear (www.clear-offset.com) from a mix of magazine road test
reports and user reported data. * MPG has been calculated from the supplied gCO
2
/km dataset, using the fuel
properties for petrol from the latest conversion factors dataset.
Direct Emissions from Passenger Rail
5.68. Conversion factors for passenger rail services remain constant since the publish
of 2021 GHG Conversion factors but have been updated to align with AR5
instead of AR4 GWP values. These factors are provided in the “Business travel
land” worksheet of the 2023 GHG Conversion factors set. These include updates
to the national rail, international rail (Eurostar), light rail schemes and the London
Underground. These factors are based on the assumptions outlined in the
following paragraphs. Note that all references to occupancy, passenger
numbers/km data and another ridership associated data is based on 2019 rather
than 2020 data as it is less unaffected by the COVID-19 pandemic.
International Rail (Eurostar)
5.69. The international rail factor is based on a passenger-km weighted average of the
conversion factors for the following Eurostar routes: London-Brussels, London-
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
75
Paris, London-Marne Le Vallee (Disney), London-Avignon, London-Amsterdam
and the ski train from London to Bourg St Maurice
23
. The conversion factors
were provided by Eurostar for the 2021 update, together with information on the
basis of the electricity figures used in their calculation.
5.70. The methodology used to calculate the Eurostar conversion factors currently
uses 3 key pieces of information:
a) Total electricity use by Eurostar trains on the UK and France/Belgium track
sections;
b) Total passenger numbers (and therefore calculated passenger km) on all
Eurostar services;
c) Conversion factors for electricity (in kgCO
2
per kWh) for the UK and
France/Belgium journey sections. These are based on the UK grid average
electricity from the GHG Conversion factors and the France/Belgium grid
averages from the last freely available version of the IEA CO
2
Emissions from
Fuel Combustion highlights dataset (from 2013).
5.71. CH
4
and N
2
O conversion factors remain constant since the publish of 2021 GHG
Conversion factors, but have been updated to align with AR5 GWP values.
These factors in the 2021 GHG Conversion factors were estimated from the
corresponding conversion factors for electricity generation, proportional to the
CO
2
emission factors.
National Rail
5.72. The national rail factor refers to an average emission per passenger kilometre for
diesel and electric trains in 2020-21. The factor is sourced from information from
the Office of the Rail Regulator’s National rail trends for 2019-20 (ORR, 2020).
This has been calculated based on total electricity and diesel consumed by the
railway for the year sourced from the Association of Train Operating Companies
(ATOC), and the total number of passenger kilometres (from National Rail
Trends).
5.73. CH
4
and N
2
O conversion factors remain constant since the publish of 2021 GHG
Conversion factors, but have been updated to align with AR5 GWP values.
These factors in the 2021 GHG Conversion factors were estimated from the
corresponding emissions factors for electricity generation and diesel rail from the
UK GHG Inventory 2021, proportional to the CO
2
emission factors. The
conversion factors were calculated based on the relative passenger km
proportions of diesel and electric rail provided by DfT for 2006-2007 (since no
newer datasets are available from DfT).
Light Rail
5.74. The light rail factors were based on an average of factors for a range of UK tram
and light rail systems, as detailed in Table 23.
23
Although there are now also direct Eurostar routes to Lyon and Marseille, information relating to these routes has
not been provided in 2019.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
76
5.75. Figures for the London Overground, London Tramlink and Docklands Light
Railway (DLR) are based on factors kindly provided by TfL for 2018/19, adjusted
to the new 2022 grid electricity CO
2
emission factor.
5.76. The factors for Midland Metro, Tyne and Wear Metro, Manchester Metrolink and
Sheffield Supertram were calculated based on annual passenger km data from
DfT’s Light rail and tram statistics (DfT, 2020a) and the new 2021 grid electricity
CO
2
emission factor.
5.77. The factor for the Glasgow Underground was calculated based on the annual
passenger km data from DfT’s Glasgow Underground statistics, and the new
2021 grid electricity CO
2
emission factor.
5.78. The average emission factor for light rail and tram was estimated based on the
relative passenger km of the eight different rail systems (see Table 23).
5.79. CH
4
and N
2
O conversion factors remain constant since the publish of 2021 GHG
Conversion factors but have been updated to align with AR5 GWP values. These
factors in the 2021 GHG Conversion factors were estimated from the
corresponding emissions factors for electricity generation, proportional to the
CO
2
emission factors.
Table 26: GHG emission factors, electricity consumption and passenger km for different
tram and light rail services
Type
Electricity
use
gCO
2
e per passenger km Million
pkm
kWh/pkm
CO
2
CH
4
N
2
O
Total
DLR (Docklands
Light Rail)
Light Rail 0.109 22.74 0.10 0.17 23.01 620.70
Glasgow
Underground
Light Rail 0.164 34.29 0.15 0.26 34.70 40.70
Midland Metro
Light Rail
0.135
28.24
0.12
0.21
28.57
84.30
Tyne and Wear
Metro
Light Rail 0.233 48.61 0.21 0.36 49.19 289.10
London
Overground
Light Rail 0.109 22.83 0.10 0.17 23.10 1,285.05
London Tramlink
Tram
0.119
24.85
0.11
0.19
25.14
149.19
Manchester
Metrolink
Tram 0.078 16.37 0.07 0.12 16.56 463.00
Supertram
Tram
0.350
73.05
0.32
0.55
73.92
68.20
Average*
0.124
25.85
0.11
0.19
26.16
3000
Notes: * Weighted by relative passenger km
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
77
London Underground
5.80. The London Underground rail factor was provided from TfL, which was based on
the 2019 UK electricity emission factor, so was therefore adjusted to be
consistent with the 2022 grid electricity CO
2
emission factor.
5.81. CH
4
and N
2
O conversion factors remain constant since the publish of 2021 GHG
Conversion factors, but have been updated to align with AR5 GWP values.
These factors in the 2021 GHG Conversion factors were estimated from the
corresponding emissions factors for electricity generation, proportional to the
CO
2
emission factors.
Indirect/WTT Emissions from Passenger Land Transport
Cars, Vans, Motorcycles, Taxis, Buses and Ferries
5.82. Indirect/WTT conversion factors for cars, vans, motorcycles, taxis, buses and
ferries include only emissions resulting from the fuel lifecycle (i.e. production and
distribution of the relevant transport fuel). These indirect/WTT conversion factors
were derived using simple ratios of the direct CO
2
conversion factors and the
indirect/WTT conversion factors for the relevant fuels from the “Fuels” worksheet,
and applying the same ratios to the corresponding direct CO
2
conversion factors
for vehicle types using these fuels. Indirect/WTT conversion factors are shown in
the “Passenger vehicles”, “Business travel land” and “Business travel air”
worksheets in the 2023 GHG Conversion factors set.
Rail
5.83. Indirect/WTT conversion factors for international rail (Eurostar), light rail and the
London Underground were derived using a simple ratio of the direct CO
2
conversion factors and the indirect/WTT conversion factors for grid electricity
from the “UK Electricity” worksheet and the corresponding direct CO
2
conversion
factors for vehicle types in the “Passenger vehicles”, “Business travel land” and
“Business travel air” worksheets in the GHG Conversion factors set.
5.84. The conversion factors for National rail services are based on a mixture of
emissions from diesel and electric rail. Indirect/WTT conversion factors were
therefore calculated from corresponding estimates for diesel and electric rail
combined using relative passenger km proportions of diesel and electric rail
provided by DfT for 2006-7 (no newer similar dataset is available).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
78
6. Freight Land Transport Emission Factors
Section summary
6.1. This section describes the calculation of the conversion factors for the transport
of freight on land (road and rail). Scope 1 factors included are for delivery
vehicles owned or controlled by the reporting organisation. Scope 3 factors are
described for freighting goods over land through a third-party company, including
factors for both the whole vehicle’s load of goods, or per tonne of goods shipped.
WTT factors for both delivery vehicles owned by the reporting organisation and
for freighting goods via a third party. Factors for managed assets (vans/LGVs,
HGVs) are also detailed in this section.
6.2. Table 24 shows where the related worksheets to the freight land transport
conversion factors are available in the online spreadsheets of the UK GHG
Conversion factors set.
Table 27 Related worksheets to freight land transport emission factors
Worksheet name Full set Condensed set
Delivery vehicles Y N
Freighting goods* Y Y
WTT delivery vehicles & freight* Y N
Managed assets – vehicles** Y Y
Note: * vans, HGVs and rail only; ** vans and HGVs only
Summary of changes since the previous update
6.3. The European Environment Agency (EEA) no longer provides new UK vehicle
data which was previously used in calculating the factors from LGVs. For the
2023 update, the 2021 new registrations of UK LGVs have been obtained from
the UK Department for Transport (DfT) with mass and capacity variables for
individual models assumed to have remained the same since the previous year
and derived from the previous version of the EEA database (EEA, 2021b).
Direct Emissions from Heavy Goods Vehicles (HGVs)
6.4. The HGV factors are based on road freight statistics from the Department for
Transport (DfT, 2022a) for Great Britain (GB), from a survey on different sizes of
rigid and articulated HGVs in the fleet in 2021. The statistics on fuel consumption
figures (in miles per gallon) have been estimated by DfT from the survey data.
For the 2023 update, these are combined with test data from the European
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
79
ARTEMIS
24
project showing how fuel efficiency, and therefore the CO
2
emissions, varies with vehicle load.
6.5. The miles per gallon (MPG) figures in Table RFS0141 (DfT, 2017) are converted
to gCO
2
per km factors using the standard fuel conversion factor for diesel in the
2023 GHG Conversion factors. Table RFS0125 (DfT, 2022a) shows the percent
loading factors are on average between 34-82% in the UK HGV fleet. Figures
from the ARTEMIS project show that the effect of the load becomes
proportionately greater for heavier classes of HGVs. In other words, the relative
difference in fuel consumption between running an HGV completely empty or
fully laden is greater for a large >33t HGV than it is for a small <7.5t HGV. From
the analysis of the ARTEMIS data, it was possible to derive the figures in Table
25 showing the change in CO
2
emissions for a vehicle completely empty (0%
load) or fully laden (100% load) on a weight basis compared with the emissions
at half-load (50% load). The data show the effect of the load is symmetrical and
largely independent of the HGVs Euro emission classification and type of drive
cycle. So, for example, a >17t rigid HGV emits 18% more CO
2
per kilometre
when fully laden and 18% less CO
2
per kilometre when empty relative to
emissions at half-load.
6.6. The refrigerated/temperature-controlled HGVs included a 19.3% and 15.9% uplift
which is applied to rigid and arctic refrigerated/temperature-controlled HGVs
respectively. The refrigerated/temperature-controlled average factors have a
17.3% uplift applied. This is based on average data for different sizes of
refrigerated HGV from (Tassou, S.A., et al., 2009). This accounts for the typical
additional energy needed to power refrigeration equipment in such vehicles over
similar non-refrigerated alternatives (AEA/Ricardo, 2011).
Table 28: Change in CO
2
emissions caused by +/- 50% change in load from the average
loading factor of 50%
Gross Vehicle Weight
(GVW)
% change in CO
2
emissions
Rigid
<7.5t ± 8%
7.5-17t ± 12.5%
>17 t ± 18%
Articulated
<33t ± 20%
>33t ± 25%
Source: EU-ARTEMIS project
6.7. Using these loading factors, the CO
2
factors derived from the DfT survey’s MPG
data, each corresponding to different average states of HGV loading, were
corrected to derive the 50% laden CO
2
factor shown for each class of HGV.
24
Artemis (Advanced Research & Technology for EMbedded Intelligent Systems) is the association for actors in
Embedded Intelligent Systems within Europe, https://artemis-ia.eu/
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
80
These are shown in the final factors presented in the “Delivery vehicles” and
“Freighting goods” worksheets of the 2023 GHG Conversion factors set.
6.8. The loading factors in Table 25 were then used to derive corresponding CO
2
factors for 0% and 100% loadings in the above sections. Because the effect of
vehicle loading on CO
2
emissions is linear with load (according to the ARTEMIS
data), then these factors can be linearly interpolated if a more precise figure on
vehicle load is known. For example, an HGV running at 75% load would have a
CO
2
factor halfway between the values for 50% and 100% laden factors.
6.9. It might be surprising to see that the CO
2
factor for a >17t rigid HGV is greater
than for a >33t articulated HGV. However, these factors reflect the estimated
MPG figures from DfT statistics that consistently show worse MPG fuel
efficiency, on average, for large rigid HGVs than large articulated HGVs once the
relative degree of loading is accounted for. This is likely to be a result of the
usage pattern for different types of HGVs where large rigid HGVs may spend
more time travelling at lower, more congested urban speeds, operating at lower
fuel efficiency than articulated HGVs which spend more time travelling under
higher speed, free-flowing traffic conditions on motorways where fuel efficiency is
closer to optimum. Under the drive cycle conditions more typically experienced
by large articulated HGVs, the CO
2
factors for large rigid HGVs may be lower
than indicated in “Delivery vehicles” and “Freighting goodsworksheets of the
2023 GHG Conversion factors set. Thus, the factors in “Delivery vehicles” and
“Freighting goods” worksheets, linked to the DfT statistics (DfT, 2017) on MPG
(estimated by DfT from the survey data), reflect each HGV class’s typical usage
pattern on the GB road network.
6.10. UK average factors for all rigid and articulated classes of HGVs are also
provided in the “Delivery vehicles” and “Freighting goods” worksheets of the
2023 GHG Conversion factors set, if the user requires aggregate factors for
these main classes of HGVs, perhaps in case the weight class of the HGV is not
known. Again, these factors represent averages for the GB HGV fleet in 2021.
These are derived directly from the mpg values for rigid and articulated HGVs in
Table RFS0141 (DfT, 2017).
6.11. At a more aggregated level, factors for all HGVs are still representing the
average MPG for all rigid and articulated HGV classes in Table RFS0141 (DfT,
2017). This factor should be used if the user has no knowledge of or requirement
for different classes of HGVs and may be suitable for analysis of HGV CO
2
emissions in, for example, inter-modal freight transport comparisons.
6.12. The conversion factors included in the “Delivery vehicles” worksheet of the 2023
GHG Conversion factors set are provided in distance units to enable CO
2
emissions to be calculated from the distance travelled by the HGV in km
multiplied by the appropriate conversion factor for the type of HGV and, if known,
the extent of loading.
6.13. For comparison with other freight transport modes (e.g. road vs. rail), the user
may require CO
2
factors in tonne km (tkm) units. The “Freighting goods”
worksheet of the 2023 GHG Conversion factors set also provides such factors
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
81
for each weight class of rigid and articulated HGVs, for all rigid and for all
articulated, and aggregated for all HGVs. These are derived from the fleet
average gCO
2
per vehicle km factors in the “Delivery vehicles” worksheet. The
average tonnes of freight lifted figures are derived from the tkm and vehicle km
(vkm) figures given for each class of HGVs in Tables RFS0113 and RFS0110,
respectively (DfT, 2022a). Dividing the tkm by the vkm figures gives the average
tonnes of freight lifted by each HGV class. The 2023 GHG Conversion factors
include factors in tonne km (tkm) for all loads (0%, 50%, 100% and average).
6.14. A tkm is the distance travelled multiplied by the weight of freight carried by the
HGV. So, for example, an HGV carrying 5 tonnes freight over 100 km has a tkm
value of 500 tkm. The CO
2
emissions are calculated from these factors by
multiplying the number of tkm the user has for the distance and weight of the
goods being moved by the CO
2
conversion factor in the Freighting goods”
worksheet of the 2023 GHG Conversion factors for the relevant HGV class.
6.15. Conversion factors for CH
4
and N
2
O for all HGV classes remain constant since
the publish of 2021 GHG Conversion factors but have been updated to align with
AR5 GWP values. These factors in the 2021 GHG Conversion factors are based
on the conversion factors from the UK GHG Inventory 2021. CH
4
and N
2
O
emissions are assumed to scale relative to vehicle class/CO
2
emissions for
HGVs. These factors are presented with an overall total factor in the “Delivery
vehicles” and “Freighting goods” worksheets of the 2023 GHG Conversion
factors set.
6.16. Emissions from the consumption of urea to control NO
x
exhaust emissions (in
SCR systems) in HGVs are included in the estimates for overall CO
2
emission
factors. The method for this is the same as for buses, as described in the “Direct
Emissions from Buses” section.
Direct Emissions from Vans/Light Goods Vehicles (LGVs)
6.17. Conversion factors for light good vehicles (LGVs, vans up to 3.5 tonnes gross
vehicle weight - GVW), were calculated based on the conversion factors per
vehicle-km in the earlier section on Direct Emissions from Vans/Light Goods
Vehicles (LGVs)”.
6.18. The typical / average capacities and average payloads that are used in the
calculation of van conversion factors per tonne km are presented in Table 26.
The average payload capacity values are based on the quantitative
(registrations-weighted) assessment of the EEA van CO
2
monitoring databases
for 2012-2020 registrations in the UK (EEA, 2021b), As previously mentioned
new registrations for 2021 are obtained from the DfT table VEH0160_GB (DfT
and DVLA, 2022), with typical / average capacities and average payloads for
2021 registrations still based on the EEA database (EEA, 2021b) as used in the
previous update. These databases provide information on the number of
registrations for different vehicle makes and models with specifications including
the unloaded (reference) mass of the vehicle and maximum permitted weight
rating (i.e. Gross Vehicle Weight, GVW).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
82
Table 29: Typical van freight capacities and estimated average payload
Van fuel
Van size, Gross
Vehicle Weight
Vkm % split
Av. Payload
Capacity, tonnes
Av. Payload,
tonnes
Petrol (Class I)
Up to 1.305 tonne
19%
0.48
0.18
Petrol (Class II) 1.305 to 1.740 tonne 72% 0.73 0.27
Petrol (Class III) Over 1.740 tonne 8% 0.98 0.40
Petrol
(average)
Up to 3.5 tonne
100% 0.70 0.28
Diesel (Class I)
Up to 1.305 tonne
3%
0.49
0.18
Diesel (Class II) 1.305 to 1.740 tonne 25% 0.80 0.29
Diesel (Class III) Over 1.740 tonne 72% 1.08 0.45
Diesel
(average)
Up to 3.5 tonne
100% 0.99 0.40
LPG (average)
Up to 3.5 tonne
100%
0.99
0.40
CNG (average) Up to 3.5 tonne 100% 0.99 0.40
Average
Up to 3.5 tonne
100%
0.99
0.40
6.19. The average load factors assumed for different vehicle types used to calculate
the average payloads in Table 26 are summarised in Table 27, on the basis of
DfT statistics from a survey of company owned vans. No new/more recent
datasets were available for the average % loading of vans/LGVs for the 2023
update.
Table 30: Utilisation of vehicle capacity by company-owned LGVs: annual average 2003
2005 (proportion of total vehicle kilometres travelled)
Average van loading
Utilisation of vehicle volume capacity
0-25%
26-50%
51-75%
76-100%
Total
Mid-point for van loading ranges 12.5% 37.5% 62.5% 87.5%
Proportion of vehicles in the loading range
Up to 1.8 tonnes
45%
25%
18%
12%
100%
1.8 3.5 tonnes
36%
28%
21%
15%
100%
All LGVs
38%
27%
21%
14%
100%
Estimated weighted average % loading
Up to 1.8 tonnes
- - - -
36.8%
1.8 3.5 tonnes
- - - -
41.3%
All LGVs
-
-
-
-
40.3%
Notes: Based on information from Table 24 from (Allen, J. and Browne, M., 2008)
6.20. Conversion factors for CH
4
and N
2
O remain constant since the publish of 2021
GHG Conversion factors, but have been updated to align with AR5 GWP values.
These factors in the 2021 GHG Conversion factors are based on the conversion
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
83
factors from the UK GHG Inventory 2021. N
2
O emissions are assumed to scale
relative to vehicle class/CO
2
emissions for diesel vans.
6.21. Conversion factors per tonne km are calculated from the average load factors for
the different weight classes in combination with the average freight capacities of
the different vans in Table 26 and the conversion factors per vehicle-km in the
“Delivery vehicles” and “Freighting goods” worksheets of the 2023 GHG
Conversion factors set.
Direct Emissions from Rail Freight
6.22. Rail freight conversion factors remain constant since the publish of 2021 GHG
Conversion factors, but have been updated from AR4 to AR5 GWP values.
6.23. The data used to update the rail freight conversion factors for the 2023 GHG
Conversion factors set, was provided by the Office of the Rail Regulator’s (ORR,
2021a). This factor is presented in “Freighting goods” worksheet of the 2023
GHG Conversion factors set.
6.24. The factor can be expected to vary with rail traffic route, speed and train weight.
Freight trains are hauled by electric and diesel locomotives, but the vast majority
of freight is carried by diesel rail and correspondingly CO
2
emissions from diesel
rail freight are over 96% of the total CO
2
from rail freight for 2019-20 which is
extrapolated to 2020-21 (ORR, 2021a).
6.25. Traffic-, route- and freight-specific factors are not currently available, though
these would present a more appropriate means of comparing modes (e.g. for
bulk aggregates, intermodal, other types of freight). The rail freight CO
2
factor will
be reviewed and updated if data become available relevant to rail freight
movement in the UK.
6.26. CH
4
and N
2
O conversion factors remain constant since the publish of 2021 GHG
Conversion factors but have been updated to align with AR5 GWP values. These
factors in the 2021 GHG Conversion factors were estimated from the
corresponding emissions for diesel rail from the UK GHG Inventory 2021,
proportional to the CO
2
emissions. The conversion factors were calculated based
on the relative passenger km proportions of diesel and electric rail provided by
DfT for 2006-7 in the absence of more suitable tonne km data for freight.
Indirect/WTT Emissions from Freight Land Transport
Vans and HGVs
6.27. Indirect/WTT conversion factors for Vans and HGVs include only emissions
resulting from the fuel lifecycle (i.e. production and distribution of the relevant
transport fuel). These indirect/WTT conversion factors were derived using simple
ratios of the direct CO
2
conversion factors and the indirect/WTT conversion
factors for the relevant fuels from the “Fuels” worksheet and applying the same
ratios to the corresponding direct CO
2
conversion factors for vehicle types using
these fuels.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
84
Rail
6.28. Rail freight conversion factors remain constant since the publish of 2021 GHG
Conversion factors, but have been updated from AR4 to AR5 GWP values.
6.29. The conversion factors for freight rail services are based on a mixture of
emissions from diesel and electric rail. Indirect/WTT conversion factors were
therefore calculated in a similar way to the other freight transport modes, except
for combining indirect/WTT conversion factors for diesel and electricity into a
weighted average for freight rail using relative CO
2
emissions from traction
energy for diesel and electric freight rail provided from ORR in Table 2.100
Estimates of passenger and freight energy consumption and CO
2
e emissions
(ORR, 2021a).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
85
7. Sea Transport Emission Factors
Section summary
7.1. This section contains Scope 3 factors only, relating to direct emissions from
transport by sea, and WTT emissions for business travel by sea, and for
freighting goods by sea. The business travel factors should be used for
passenger ferries used for business trips. The WTT factors relate to emissions
from the upstream extraction, refining and transport of fuels before they are used
to power the ships.
7.2. Sea Transport factors remain constant since the publish of 2021 GHG
Conversion factors but have been updated from AR4 to AR5 GWP values.
7.3. Table 28 shows where the related worksheets to the sea transport conversion
factors are available in the online spreadsheets of the UK GHG Conversion
factors set.
Table 31: Related worksheets to sea transport emission factors
Worksheet name Full set Condensed set
Business travel – sea Y Y
WTT business travel – sea Y N
Freighting goods* Y Y
WTT delivery vehicles & freight* Y N
Note: * sea tankers and cargo ships only
Summary of changes since the previous update
7.4. There were no major methodological changes in the 2023 update.
Direct Emissions from RoPax Ferry Passenger Transport and
freight
7.5. Direct conversion factors from RoPax (roll on/roll off a passenger) passenger
ferries and ferry freight transport is based on information from the Best Foot
Forward (BFF) work for the Passenger Shipping Association (PSA) (BFF, 2007).
No new methodology or updated dataset has been identified for the 2023 GHG
Conversion factors set.
7.6. The BFF study analysed data for mixed passenger and vehicle ferries (RoPax
ferries) on UK routes supplied by PSA members. Data provided by the PSA
operators included information by operating route on the route/total distance,
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
86
total passenger numbers, total car numbers, total freight units and total fuel
consumption.
7.7. From the information provided by the operators, figures for passenger-km, tonne-
km and CO
2
emissions were calculated. CO
2
emissions from ferry fuels were
allocated between passengers and freight on the basis of tonnages transported,
taking into account freight, vehicles and passengers. Some of the assumptions
included in the analysis are presented in the following table.
Table 32: Assumptions used in the calculation of ferry emission factors
Assumption Weight,
tonnes
Source
Average passenger car weight 1.250 (MCA, 2017)
Average weight of passenger + luggage, total 0.100 (MCA, 2017)
Average Freight Unit*, total 22.173 (BFF, 2007)
25
Average Freight Load (per freight unit)*, tonnes 13.624 (DfT, 2006)
Notes: * Freight unit includes weight of the vehicle/container as well as the weight of the actual freight load
7.8. CO
2
emissions are allocated to passengers based on the weight of passengers +
luggage + cars relative to the total weight of freight including freight
vehicles/containers. For the data supplied by the 11 (out of 17) PSA operators
this equated to just under 12% of the total emissions of the ferry operations. The
emission factor for passengers was calculated from this figure and the total
number of passenger-km, and is presented in the “Business travel sea”
worksheet of the 2023 GHG Conversion factors set. A further split has been
provided between foot-only passengers and passengers with cars in the 2023
GHG Conversion factors set, again on a weight allocation basis.
7.9. CO
2
emissions are allocated to freight based on the weight of freight (including
freight vehicles/containers) relative to the total weight of passengers + luggage +
cars. For the data supplied by the 11 (out of 17) PSA operators, this equated to
just over 88% of the total emissions of the ferry operations. The emission factor
for freight was calculated from this figure and the total number of tonne km
(excluding the weight of the freight vehicle/container) and is presented in
“Freighting goods” worksheet of the 2023 GHG Conversion factors set.
7.10. It is important to note that this conversion factor is relevant only for ferries
carrying passengers and freight and that conversion factors for passenger only
ferries are likely to be significantly higher. No suitable dataset has yet been
identified to enable the production of a ferry emission factor for passenger-only
services (which were excluded from the BFF (2007) work).
7.11. CH
4
and N
2
O conversion factors remain constant since the publish of 2021 GHG
Conversion factors but have been updated to align with AR5 GWP values. These
conversion factors had been estimated from the corresponding emissions for
25
This is based on a survey of actual freight weights at 6 ferry ports. Where operator-specific freight weights were
available, these were used instead of the average figure.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
87
shipping from the 2021 update of the UK GHG Inventory (Ricardo Energy &
Environment, 2021), proportional to the CO
2
emissions.
Direct Emissions from Other Marine Freight Transport
7.12. CO
2
conversion factors for the other representative ships (apart from RoPax
ferries discussed above) are based on information- estimates of CO
2
efficiency
for cargo ships, from Table 9-1 of the (IMO, 2009) report on GHG emissions from
ships. The figures in the “Freighting goods” worksheet of the 2023 GHG
Conversion factors set represent international average data (i.e. including vessel
characteristics and typical loading factors), as UK-specific datasets are not
available.
7.13. CH
4
and N
2
O conversion factors remain constant since the publish of 2021 GHG
Conversion factors but have been updated from AR4 to AR5 GWP values. These
conversion factors had been estimated from the corresponding emissions for
shipping from the 2021 update of UK GHG Inventory (Ricardo Energy &
Environment, 2021), proportional to the CO
2
emissions.
Indirect/WTT Emissions from Sea Transport
7.14. Indirect/WTT emissions factors for ferries and ships include only emissions
resulting from the fuel lifecycle (i.e. production and distribution of the relevant
transport fuel). These indirect/WTT conversion factors were derived using simple
ratios of the direct CO
2
conversion factors and the indirect/WTT conversion
factors for the relevant fuels and the corresponding direct CO
2
conversion factors
for ferries and ships using these fuels.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
88
8. Air Transport Emission Factors
Section summary
8.1. This section contains Scope 3 factors only, related to direct emissions from and
WTT emissions for business travel and freight transport by air. Air transport
conversion factors should be used to report Scope 3 emissions for individuals
flying for work purposes, and the related WTT factors account for the upstream
emissions associated with the extraction, refining and transport of the aviation
fuels prior to take-off. For freighting goods, conversion factors are provided per
tonne.km of goods transported.
8.2. Table 30 shows where the related worksheets to the air transport conversion
factors are available in the online spreadsheets of the UK GHG Conversion
factors set.
Table 33: Related worksheets to air transport emission factors
Worksheet name Full set Condensed set
Business travel air Y Y
WTT business travel air Y N
Freighting goods* Y Y
WTT delivery vehicles & freight* Y N
Notes: * freight flights only
Summary of changes since the previous update
8.3. There are major changes to the aviation factors in the 2023 update, principally
due to the reduced load factors that are a consequence of the COVID-19
pandemic. Other changes result from development of the aircraft fleet and
revisions to the EUROCONTROL small emitters tool.
8.4. The multiplier that is applied to account for the non-CO
2
climate change effects
of aviation has been revised downwards to 1.7 In line with the latest scientific
evidence.
8.5. The UK GHG Conversion Factors also cover the period when national and
regional measures were introduced to prevent and reduce the global spread of
coronavirus (COVID-19). Transport trends have been affected by these
measures which can be seen in DfT's statistics used to derive these factors.
Passenger kilometres and thus occupancy levels for certain modes of transport
(buses, cars, vans, rail, air) have significantly dropped in 2020 and they didn't go
back to pre-COVID levels in 2021 too. Because for the aviation sector it will take
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
89
longer to recover to pre-COVID levels
26
, it was decided to update the 2023
factors using the actual 2021 load factors whereas for the rest transport sectors,
it was decided that pre-COVID occupancy levels would be retained for the years
2020 and 2021. As an illustration, occupancy levels - average load factor for
domestic, short-haul and long-haul flights was 65%, 58% and 52% respectively
for the year 2021 and 78%, 85% and 82% respectively for the year 2019.
8.6. There has been a correction to the interpretation of DfT’s Intercontinental Flight
data (seat.km vs pax.km), which became apparent when investigating the
consequences of reduced load factors.
Passenger Air Transport Direct CO
2
Emission Factors
8.7. Conversion factors for non-UK international flights were calculated in a similar
way to the main UK flight emission factors, using DfT data on flights between
different regions by aircraft type, and conversion factors calculated using the
EUROCONTROL small emitter’s tool.
8.8. The 2023 update of the average factors (presented at the end of this section)
uses the EUROCONTROL small emitters tool to calculate the CO
2
emissions
factors resulting from fuel burnt over average flights for different aircraft. This
data source has been selected because:
a) The tool is based on a methodology designed to estimate the fuel burnt for an
entire flight, it is updated on a regular basis in order to improve when possible
its accuracy, and has been validated using actual fuel consumption data from
airlines operating in Europe.
b) The tool covers a wide range of aircraft, including many newer (and more
efficient) aircraft increasingly used in flights to/from the UK, and also variants
in aircraft families.
c) The tool is approved for use for flights falling under the EU ETS via the
Commission Regulation (EU) No. 606/2010.
8.9. A full summary of the representative aircraft selection and the main assumptions
influencing the emission factor calculation are presented in Table 31. Key
features of the calculation methodology, data and assumptions include:
a) A wide variety of representative aircraft have been used to calculate
conversion factors for domestic, short- and long-haul flights;
b) Average seating capacities, load factors and proportions of passenger km by
the different aircraft types (subsequently aggregated to overall averages for
domestic, short- and long-haul flights) have all been calculated from detailed
UK Civil Aviation Authority (CAA, 2021) statistics for UK registered airlines for
the year 2021 (the most recent complete dataset available at the time of
26
EUROCONTROL predicts that in the most likely scenario, 2024 traffic would only be at 92% of the 2019 figure.
See EUROCONTROL releases new air traffic forecast for 2020-2024 (atc-network.com)
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
90
calculation), split by aircraft and route type (Domestic, European Economic
Area, other International)
27
;
c) Freight transported on passenger services has also been accounted for (with
the approach taken summarised in the following section). Accounting for
freight makes a significant difference to long-haul factors.
Table 34: Assumptions used in the calculation of revised average CO
2
conversion factors
for passenger flights for 2023
Av.
No.
Seats
Av.
Load
Factor
Proportion
of
passenger
km
Emissions
Factor,
kgCO
2
/vkm
Av. flight
length, km
Domestic Flights
AIRBUS A320neo
185
66%
20%
13.3
455
AIRBUS A321neo
222
59%
3%
15.5
409
AIRBUS A319
151
71%
24%
15.1
468
AIRBUS A320-100/200
181
66%
36%
16.4
458
AIRBUS A321
223
61%
0%
20.0
376
ATR-42-300
49
58%
0%
5.4
224
ATR-42-500
49
50%
1%
5.2
359
ATR72 200/500/600
70
51%
3%
5.8
278
BOEING 737-800
189
40%
0%
16.0
343
DORNIER 328
35
26%
0%
4.1
425
EMBRAER ERJ135
38
48%
0%
7.4
398
EMBRAER ERJ145
49
50%
5%
7.6
454
EMB ERJ170 (170-100)
74
52%
0%
11.3
368
EMBRAER ERJ190
99
63%
4%
12.3
491
EMBRAER ERJ195
120
60%
1%
16.0
257
Jetstream 41
30
50%
0%
3.5
361
SAAB FAIRCHILD 340
34
55%
1%
4.3
245
Average 158 65%
100%*
(total)
12.0 414
Short-haul Flights
AIRBUS A320neo
183
56%
11%
8.8
1805
AIRBUS A321neo
224
59%
8%
10.1
1906
AIRBUS A318
123
60%
0%
11.2
1087
AIRBUS A319
149
57%
4%
11.4
1097
AIRBUS A320-100/200
181
59%
17%
11.6
1416
27
This dataset was provided by DfT for the purposes of the Conversion factors calculations, and provides a
breakdown by both aircraft and route type, which is unavailable in publicly available sources, e.g. Annual Airline
Statistics available from the CAA’s website at:
http://www.caa.co.uk/default.aspx?catid=80&pagetype=88&pageid=1&sglid=1
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
91
Av.
No.
Seats
Av.
Load
Factor
Proportion
of
passenger
km
Emissions
Factor,
kgCO
2
/vkm
Av. flight
length, km
AIRBUS A321
223
60%
3%
13.2
1710
AIRBUS A330-200
280
59%
0%
22.2
1477
AIRBUS A330-300
288
48%
1%
23.8
1536
AIRBUS A350-900
346
48%
0%
25.0
1317
ATR72 200/500/600
70
37%
0%
5.0
470
BOEING 737 MAX 8
194
62%
5%
9.2
2024
BOEING 737 MAX 9
190
61%
0%
10.2
1914
BOEING 737-300
148
36%
0%
12.0
1176
BOEING 737-400
168
63%
0%
11.9
1824
BOEING 737-500
105
64%
0%
10.7
1987
BOEING 737-600
126
32%
0%
9.5
1830
BOEING 737-700
140
60%
0%
13.8
531
BOEING 737-800
189
57%
44%
11.0
1627
BOEING 737-900
180
62%
0%
12.2
1280
BOEING 757-200
220
73%
1%
14.4
2262
BOEING 757-300
221
77%
0%
16.5
1870
BOEING 767-300ER/F
305
71%
1%
19.3
2388
BOEING 777-200
264
60%
0%
25.1
1701
BOEING 777-300ER
344
50%
1%
27.9
2584
BOEING 787-800
DREAMLINER
244 66% 1% 18.7 2379
BOEING 787-900
DREAMLINER
312 59% 1% 18.6 2945
AIRBUS A220-300
129
51%
0%
9.7
883
AIRBUS A220-300
145
47%
0%
9.5
1183
CL-600 Regional Jet CRJ-900
89
46%
0%
8.4
949
BOMBARDIER DASH 8 Q400
77
32%
0%
6.7
513
EMB ERJ170 (170-100)
84
52%
0%
9.3
640
Average 193 58%
100%*
(total)
11.1 1,537
Long-haul Flights
AIRBUS A320neo
179
55%
0%
8.5
3845
AIRBUS A321neo
184
64%
1%
10.0
3859
AIRBUS A320-100/200
180
73%
0%
10.8
2326
AIRBUS A321
218
68%
0%
12.8
2318
AIRBUS A330-200
274
64%
1%
20.8
4732
AIRBUS A330-300
281
53%
4%
22.0
6075
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
92
Av.
No.
Seats
Av.
Load
Factor
Proportion
of
passenger
km
Emissions
Factor,
kgCO
2
/vkm
Av. flight
length, km
AIRBUS A330-900
385
57%
0%
19.6
6627
AIRBUS A340-300
267
85%
0%
24.7
6050
AIRBUS A350-900
281
32%
3%
21.7
8210
AIRBUS A350-1000
329
47%
7%
24.5
6599
AIRBUS A380-800
513
63%
8%
46.3
5781
BOEING 737 MAX 8
193
84%
0%
8.9
4430
BOEING 737-800
188
59%
0%
10.6
2127
BOEING 757-200
204
39%
0%
14.2
6045
BOEING 767-300ER/F
173
64%
1%
18.8
5876
BOEING 767-400
246
40%
1%
20.5
5634
BOEING 777-200
262
60%
16%
24.8
6350
BOEING 777-300
374
68%
1%
26.9
5816
BOEING 777-F
259
85%
0%
28.3
5263
BOEING 777-300ER
317
46%
20%
29.2
6479
BOEING 787-800
DREAMLINER
243 56% 10% 18.2 6449
BOEING 787-900
DREAMLINER
256 47% 21% 18.9 6639
BOEING 787-1000
DREAMLINER
308 36% 3% 21.2 5842
Average 295 52%
100%*
(total)
23.1 6,213
Notes: Figures on seats, load factors, % tkm and av. flight length have been calculated from 2021 CAA statistics for UK
registered airlines for the different aircraft types. Figures of kgCO
2
/vkm were calculated using the average flight lengths in the
EUROCONTROL small emitters tool. * 100% denotes the pkm share of the aircraft included in the assessment - as listed in the
table. The aircraft listed in the table above accounts for 100% of domestic pkm, 100% of short-haul pkm and 100% of long-haul
pkm. The averages presented have different weightings applied. The average number of seats and average load factors are
weighted by pkm, whereas the average emission factor is weighted by vkm and the average flight length is weighted by the
number of flights. They are provided for illustration only.
Allocating flights into short- and long-haul:
8.10. Domestic flights are those that start and end in the United Kingdom (including
the Isle of Man and the Channel Islands, but excluding Gibraltar), which are
relatively simple to categorise. However, allocating flights into short- and long-
haul is more complicated. In earlier versions of the GHG Conversion factors, it
was suggested at a crude level to assign all flights <3700km to short haul and all
>3,700km to long-haul (on the basis of the maximum range of a Boeing 737).
However, this approach was relatively simplistic, difficult to apply without detailed
flight distance calculations, and was not completely consistent with CAA
statistical dataset used to define the emission factors.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
93
8.11. The current preferred definition, which aligns with the CAA statistical dataset, is
to assume that all fights between the UK and Europe (excluding Moldova and
Ukraine, but including the Channel Islands, Gibraltar, Greenland and Turkey)
and between the UK and North Africa (Algeria, Egypt, Libya, Morocco and
Tunisia) are also short-haul. Flights between the UK and other destinations
(North and South America, Asia (including Russia, but excluding Turkey), most
of Africa, Australasia, Moldova and Ukraine should be counted as long-haul.
Some examples of have been provided in the following Table 32.
Table 35: Illustrative short- and long- haul flight distances from the UK
Area Destination Airport Distance, km
Domestic
Average (CAA
statistics)
414
Short-haul
Europe Amsterdam, Netherlands 400
Europe Prague (Ruzyne), Czech Rep 1,000
Europe Malaga, Spain 1,700
Europe Athens, Greece 2,400
North Africa Abu Simbel/Sharm El Sheikh,
Egypt
3,300
Average (CAA
statistics)
1,537
Long-haul
Southern Africa Johannesburg/Pretoria, South
Africa
9,000
Middle East Dubai, UAE 5,500
North America New York (JFK), USA 5,600
North America Los Angeles California, USA 8,900
South America Sao Paulo, Brazil 9,400
Indian sub-continent Bombay/Mumbai, India 7,200
Far East Hong Kong 9,700
Australasia Sydney, Australia 17,000
Average (CAA
statistics)
6,213
Note: Distances based on International Passenger Survey (Office for National Statistics) calculations using airport geographic
information. Average distances calculated from CAA statistics for all flights to/from the UK in 2013
8.12. Aviation factors are also included for international flights between non-UK
destinations. This relatively high-level analysis of Innovata data on
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
94
intercontinental flights provided by DfT’s aviation team allows users to choose a
different factor for passenger air travel if flying between countries outside of the
UK. All factors presented are for direct (non-stop) flights only. This analysis was
only possible for passenger air travel and so international freight factors are
assumed to be equal to the current UK long haul air freight factors
28
.
Taking Account of Freight
8.13. Freight, including mail, are transported by two types of aircraft dedicated cargo
aircraft which carry freight only, and passenger aircraft which carry both
passengers and their luggage, as well as freight. The CAA data show that almost
all freight carried by passenger aircraft is done on scheduled long-haul flights. In
fact, the quantity of freight carried on scheduled long-haul passenger flights is
more than 4 times higher than the quantity of freight carried on scheduled long-
haul cargo services (however this is not the case when comparing individual
flights).
8.14. The CAA data provides a split of tonne km for freight and passengers (plus
luggage) by airline for both passenger and cargo services. This data may be
used as a basis for an allocation methodology. There are essentially three
options, with the resulting conversion factors presented in Table 33:
a. No Freight Weighting: Assume all the CO
2
is allocated to passengers on these
services.
b. Freight Weighting Option 1: Use the CAA
tonne km (tkm) data directly to
apportion the CO
2
between passengers and freight. However, in this case, the
derived conversion factors for freight are significantly higher than those derived
for dedicated cargo services using similar aircraft.
c. Freight Weighting Option 2: Use the CAA tkm data modified to treat freight on
a more equivalent/consistent basis to dedicated cargo services. This accounts for
the additional weight of equipment specific to passenger services (e.g. seats,
galleys, etc.) in the calculations.
Table 36: CO
2
conversion factors for alternative freight allocation options for passenger
flights based on 2023 GHG Conversion factors
Freight Weighting: None Option 1: Direct Option 2: Equivalent
Mode
Passenger tkm
% of total
gCO
2
/pkm
Passenger tkm
% of total
gCO
2
/pkm
Passenger tkm
% of total
gCO
2
/pkm
Domestic flights 100.00% 148.0 99.76% 147.6 99.76% 147.6
Short-haul flights 100.00% 101.8 99.04% 100.8 99.04% 100.8
Long-haul flights
100.00%
163.1
64.19%
103.4
87.34%
141.6
8.15. The basis of the freight weighting Option 2 is to take account of the
supplementary equipment (such as seating, galley) and other weight for
passenger aircraft compared to dedicated cargo aircraft in the allocation. In
28
Please note - The international factors included are an average of short and long-haul flights which explains the
difference between the UK factors and the international ones.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
95
comparing the freight capacities of the cargo configuration compared to
passenger configurations, we may assume that the difference represents the
tonne capacity for passenger transport. This includes the weight of passengers
and their luggage (around 100 kg per passenger according to IATA), plus the
additional weight of seating, the galley, and other airframe adjustments
necessary for passenger service operations. The derived weight per passenger
seat used in the calculations for the 2023 GHG Conversion factors were
calculated for the specific aircraft used and are on average over three times
(3.09) the weight per passenger and their luggage alone. In the Option 2
methodology the derived ratio for different aircraft types were used to upscale
the CAA passenger tonne km data, increasing this as a percentage of the total
tonne km as shown in Table 33.
8.16. It does not appear that there is a distinction made (other than in purely practical
size/bulk terms) in the provision of air freight transport services in terms of
whether something is transported by dedicated cargo service or on a passenger
service. The related calculation of freight conversion factors (discussed in a later
section) leads to very similar conversion factors for both passenger service
freight and dedicated cargo services for domestic and short-haul flights. This is
also the case for long-haul flights under freight weighting Option 2, whereas
under Option 1 the passenger service factors are substantially higher than those
calculated for dedicated cargo services. It therefore seems preferable to treat
freight on an equivalent basis by utilising freight weighting Option 2.
8.17. Option 2 is the preferred methodology to allocate emissions between
passengers and freight, Option 1 is included for information only.
8.18. Validation checks using the derived conversion factors calculated using the
EUROCONTROL small emitters tool and CAA flights data have shown a very
close comparison in derived CO
2
emissions with those from the UK GHG
Inventory (which is scaled using actual fuel supplied) (Ricardo Energy &
Environment, 2023).
8.19. The final average conversion factors for aviation are presented in Table 34. The
figures in Table 34 DO NOT include the 8% uplift for Great Circle distance NOR
the uplift to account for additional impacts of radiative forcing which are applied
to the conversion factors provided in the 2023 GHG Conversion Factor set.
Table 37: Final average CO
2
conversion factors for passenger flights for 2023 GHG
Conversion factors (excluding distance and RF uplifts)
Mode Factors for 2023
Av. Load
Factor%
gCO
2
/pkm
Domestic flights 64.9% 147.6
Short-haul flights 57.6% 100.8
Long-haul flights
51.5%
141.6
Notes: Average load factors based on data provided by DfT that contains detailed analysis of CAA statistics for the year 2021
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
96
Taking Account of Seating Class Factors
8.20. The efficiency of aviation per passenger km is influenced not only by the
technical performance of the aircraft fleet, but also by the occupancy/load factor
of the flight. Different airlines provide different seating configurations that change
the total number of seats available on similar aircraft. Premium priced seating,
such as in First and Business class, takes up considerably more room in the
aircraft than economy seating and therefore reduces the total number of
passengers that can be carried. This in turn raises the average CO
2
emissions
per passenger km.
8.21. There is no agreed data/methodology for establishing suitable scaling factors
representative of average flights. However, in 2008 a review was carried out of
the seating configurations from a selection of 16 major airlines and average
seating configuration information from Boeing and Airbus websites. This
evaluation was used to form a basis for the seating class based conversion
factors provided in Table 35, together with additional information obtained either
directly from airline websites or from other specialist websites that had already
collated such information for most of the major airlines.
8.22. For long-haul flights, the relative space taken up by premium seats can vary by a
significant degree between airlines and aircraft types. The variation is at its most
extreme for First class seats, which can account for from 3 to over 6 times
29
the
space taken up by the basic economy seating. Table 35 shows the seating class-
based emission factors, together with the assumptions made in their calculation.
An indication is also provided of the typical proportion of the total seats that the
different classes represent in short- and long-haul flights. The effect of the
scaling is to lower the economy seating emission factor in relation to the
average, and increase the business and first class factors.
8.23. For domestic flights, the space taken up by premium seats is not significantly
more than that taken up by the basic economy seating. It was therefore deemed
unnecessary to provide further breakdown by seating class.
8.24. The relative share in the number of seats by class for short-haul and long-haul
flights was updated/revised in 2015 using data provided by DfT’s aviation team,
following checks conducted by them on the validity of the current assumptions
based on more recent data.
Table 38: CO
2
conversion factors by seating class for passenger flights for 2023 GHG
Conversion factors (excluding distance and RF uplifts)
Flight type
Cabin Seating
Class
Av.
Load
Factor
%
gCO
2
/pkm
Number of
economy
seats
% of
average
gCO
2
/pkm
%
Total
seats
Domestic
Weighted average
64.9%
147.6
1.00
100.0%
100.0%
Short-haul
Weighted average
57.6%
100.8
1.02
100.0%
100.0%
29
For the first-class sleeper seats/beds frequently used in long-haul flights.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
97
Flight type
Cabin Seating
Class
Av.
Load
Factor
%
gCO
2
/pkm
Number of
economy
seats
% of
average
gCO
2
/pkm
%
Total
seats
Economy class
57.6%
99.1
1.00
98.4%
96.7%
First/Business class
57.6%
148.7
1.50
147.5%
3.3%
Long-haul
Weighted average
51.5%
141.6
1.31
100.0%
100.0%
Economy class
51.5%
108.4
1.00
76.6%
83.0%
Economy+ class
51.5%
173.5
1.60
122.5%
3.0%
Business class
51.5%
314.5
2.90
222.1%
11.9%
First class
51.5%
433.8
4.00
306.3%
2.0%
Notes: Average load factors based on data provided by DfT that contains detailed analysis of CAA statistics for the year 2021
Freight Air Transport Direct CO
2
Emission Factors
8.25. Air Freight, including mail, are transported by two types of aircraft dedicated
cargo aircraft which carry freight only, and passenger aircraft which carry both
passengers and their luggage, as well as freight.
8.26. Data on freight movements by type of service are available from the Civil
Aviation Authority (CAA, 2021). These data show that almost all freight carried
by passenger aircraft is done on scheduled long-haul flights and accounts
approximately for 100% of all long-haul air freight transport. How this freight
carried on long-haul passenger services is treated has a significant effect on the
average emission factor for all freight services.
8.27. The next section describes the calculation of conversion factors for freight
carried by cargo aircraft only and then the following sections examine the impact
of freight carried by passenger services and the overall average for all air freight
services.
Conversion factors for Dedicated Air Cargo Services
8.28. Table 36 presents the average conversion factors for dedicated air cargo. As
with the passenger aircraft methodology, the factors presented here do not
include the distance or radiative forcing uplifts applied to the conversion factors
provided in the 2023 GHG Conversion Factor data tables.
Table 39: Revised average CO
2
conversion factors for dedicated cargo flights for 2023 GHG
Conversion factors (excluding distance and RF uplifts)
Mode Factors for 2023
Av. Load
Factor%
kgCO
2
/tkm
Domestic flights 50.6% 3.0
Short-haul flights 74.9% 1.2
Long-haul flights 73.8% 0.6
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
98
Note: Average load factors based on Annual UK Airlines Statistics by Aircraft Type CAA 2012 (Equivalent datasets after this
are unavailable due to changes to CAA’s confidentiality rules)
8.29. The updated factors have been calculated in the same basic methodology as for
the passenger flights, using the EUROCONTROL small emitters tool
(EUROCONTROL, 2019). A full summary of the representative aircraft selection
and the main assumptions influencing the emission factor calculation are
presented in Table 37. The key features of the calculation methodology, data
and assumptions for the GHG Conversion factors include:
a) A wide variety of representative aircraft have been used to calculate conversion
factors for domestic, short- and long-haul flights;
b) Average freight capacities, load factors and proportions of tonne km by the
different airlines/aircraft types have been calculated from CAA (Civil Aviation
Authority) statistics for UK registered airlines for the year 2021 (the latest
available complete dataset) (CAA, 2021).
Table 40: Assumptions used in the calculation of average CO
2
conversion factors for
dedicated cargo flights for the 2023 GHG Conversion factors
Average
Cargo
Capacity,
tonnes
Av.
Load
Factor
Proportion
of tonne km
EF, kgCO
2
/vkm
Av. flight
length, km
Domestic Flights
BAE 146-300/QT 10.0 34% 6.8% 11.61 1019
AIRBUS A321 18.8 45% 12.0% 18.45 459
AIRBUS A350-1000 68.0 50% 21.5% 31.94 804
BOEING 737-300 15.2 45% 17.2% 20.86 229
BOEING 757-200 23.2 56% 37.5% 44.01 148
BOEING 767-
300ER/F
52.7 50% 0.7% 30.44 369
BOEING 787-1000
DREAMLINER
57.3 50% 0.1% 33.82 507
BOEING 787-800
DREAMLINER
43.3 50% 0.5% 23.13 731
BOEING 787-900
DREAMLINER
52.6 50% 3.6% 24.49 836
Average 31.4 50% 100% 26.29 379
Short-haul Flights
AIRBUS A321 20.5 45% 3.5% 13.39 1545
AIRBUS A350-1000 68.0 73% 34.2% 25.04 2974
BOEING 737-400 15.0 45% 2.3% 14.63 578
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
99
Average
Cargo
Capacity,
tonnes
Av.
Load
Factor
Proportion
of tonne km
EF, kgCO
2
/vkm
Av. flight
length, km
BOEING 737-800 15.8 45% 0.8% 14.69 441
BOEING 757-200 22.0 77% 50.7% 18.88 718
BOEING 767-
300ER/F
52.7 73% 7.6% 20.53 1365
BOEING 787-1000
DREAMLINER
57.3 73% 0.9% 23.85 1873
Average 40.1 73% 100% 19.03 1,432
Long-haul Flights
AIRBUS A321 20.2 45% 0.2% 12.69 2633
AIRBUS A330-300 47.8 45% 3.3% 22.28 3666
AIRBUS A350-1000 68.0 68% 16.4% 24.38 8011
BOEING 747-400F 111.5 73% 14.1% 39.97 5098
BOEING 757-200 21.6 79% 1.2% 16.12 1241
BOEING 777-200 37.3 68% 5.4% 24.90 6787
BOEING 777-300ER 50.8 68% 17.1% 29.68 8474
BOEING 787-1000
DREAMLINER
57.3 68% 0.7% 21.54 5045
BOEING 787-800
DREAMLINER
43.3 68% 4.4% 18.21 7281
BOEING 787-900
DREAMLINER
52.6 68% 33.1% 19.00 8325
BOEING 767-
300ER/F
29.6 68% 4.0% 19.31 3676
Average 60.4 68% 100% 24.85 4,381
Note: Figures on cargo, load factors, % tkm and av. flight length have been calculated from CAA statistics for UK registered
airlines for different aircraft in the year 2021. Figures of kgCO
2
/vkm were calculated using the average flight lengths in
the EUROCONTROL small emitters tool (EUROCONTROL, 2019).
Conversion factors for Freight on Passenger Services
8.30. The CAA data provides a similar breakdown for freight on passenger services as
it does for cargo services. As previously discussed, the statistics give tonne-km
data for passengers and for freight. This information has been used in
combination with the assumptions for the earlier calculation of passenger
conversion factors to calculate the respective total emission factor for freight
carried on passenger services. These conversion factors are presented in Table
38 with the two different allocation options for long-haul services. The factors
presented here do not include the distance or radiative forcing uplifts applied to
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
100
the conversion factors provided in the 2023 GHG Conversion Factor set
(discussed later).
Table 41: Air freight CO
2
conversion factors for alternative freight allocation options for
passenger flights for 2023 GHG Conversion factors (excluding distance and RF uplifts)
Freight
Weighting:
Mode
% Total Freight tkm Option 1: Direct Option 2: Equivalent
Passenger
Services
(PS)
Cargo
Services
PS Freight
tkm,
% total
Overall
kgCO
2
/tkm
PS Freight
tkm,
% total
Overall
kgCO
2
/tkm
Domestic flights 0.8% 99.2% 0.2% 2.5 0.2% 2.5
Short-haul flights 0.1% 99.9% 1.0% 0.9 1.0% 0.9
Long-haul flights 43.5% 56.5% 35.8% 0.7 12.7% 0.6
8.31. CAA statistics include excess passenger baggage in the ‘freight’ category, which
would under Option 1 result in a degree of under-allocation to passengers.
Option 2 therefore appears to provide the more reasonable means of allocation.
8.32. Option 2 has been selected as the preferred methodology for freight allocation
and is included in all of the presented conversion factors for 2023.
Average Conversion factors for All Air Freight Services
8.33. Table 39 presents the final average air freight conversion factors for all air freight
for the 2023 GHG Conversion factors. The conversion factors have been
calculated from the individual factors for freight carried on passenger and
dedicated freight services, weighted according to their respective proportion of
the total air freight tonne km. The factors presented here do not include the
distance or radiative forcing uplifts applied to the conversion factors provided in
the 2023 GHG Conversion Factor set (discussed later).
Table 42: Final average CO
2
conversion factors for all air freight for 2023 GHG Conversion
factors (excluding distance and RF uplifts)
Mode % Total Air Freight tkm All Air Freight
kgCO
2
/tkm
Passenger
Services
Cargo
Services
Domestic flights 0.8% 99.2% 2.5
Short-haul
flights
0.1% 99.9% 0.9
Long-haul flights 43.5% 56.5% 0.6
Note: % Total Air Freight tkm based on CAA statistics for 2021 (T0.1.6 All Services)
Air Transport Direct Conversion factors for CH
4
and N
2
O
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
101
Emissions of CH
4
8.34. Total emissions of CO
2
, CH
4
and N
2
O are calculated in detail and reported at an
aggregate level for aviation as a whole in the UK GHG inventory. The relative
proportions of total CO
2
and CH
4
emissions from the UK GHG inventory for 2021
(Ricardo Energy & Environment, 2023) (see Table 40) were used to calculate the
specific CH
4
conversion factors per passenger km or tonne-km relative to the
corresponding CO
2
emission factors. The resulting air transport conversion
factors for the 2023 GHG Conversion factors are presented in Table 41 for
passengers and Table 42 for freight.
Table 43: Total emissions of CO
2
, CH
4
and N
2
O for domestic and international aircraft from
the UK GHG inventory for 2021
CO
2
CH
4
N
2
O
Mt CO
2
e
% Total
CO
2
e
Mt CO
2
e
% Total
CO
2
e
Mt CO
2
e
% Total
CO
2
e
Aircraft - domestic 0.74 98.94% 0.0009 0.13% 0.007 0.94%
Aircraft -
international
13.09 99.06% 0.0009 0.01% 0.124 0.94%
Emissions of N
2
O
8.35. Similar to those for CH
4
, conversion factors for N
2
O per passenger-km or tonne-
km were calculated on the basis of the relative proportions of total CO
2
and N
2
O
emissions from the UK GHG inventory for 2021 (Ricardo Energy & Environment,
2023) (see Table 40), and the corresponding CO
2
emission factors. The resulting
air transport conversion factors for the 2023 GHG Conversion factors are
presented in Table 41 for passengers and Table 42 for freight. The factors
presented here do not include the distance or radiative forcing uplifts applied to
the conversion factors provided in the 2023 GHG Conversion Factor set
(discussed later).
Table 44: Final average CO
2
, CH
4
and N
2
O conversion factors for all air passenger transport
for 2023 GHG Conversion factors (excluding distance and RF uplifts)
Air Passenger
Mode
Seating Class CO
2
gCO
2
/pkm
CH
4
gCO
2
e/pkm
N
2
O
gCO
2
e/pkm
Total GHG
gCO
2
e/pkm
Domestic
flights
Average 147.6 0.2 1.4 149.2
Short-haul
flights
Average 100.8 0.0 1.0 101.7
Economy 99.1 0.0 0.9 100.0
First/Business 148.7 0.0 1.4 150.1
Long-haul
flights
Average 141.6 0.0 1.3 143.0
Economy 108.4 0.0 1.0 109.5
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
102
Air Passenger
Mode
Seating Class CO
2
gCO
2
/pkm
CH
4
gCO
2
e/pkm
N
2
O
gCO
2
e/pkm
Total GHG
gCO
2
e/pkm
Economy+ 173.5 0.0 1.6 175.2
Business 314.5 0.0 3.0 317.5
First 433.8 0.0 4.1 437.9
International
flights
(non-UK)
Average 95.3 0.0 0.9 96.2
Economy 73.0 0.0 0.7 73.7
Economy+ 116.7 0.0 1.1 117.9
Business 211.6 0.0 2.0 213.6
First 291.9 0.0 2.8 294.6
Note: Totals may vary from the sums of the components due to rounding in the more detailed dataset.
Table 45: Final average CO
2
, CH
4
and N
2
O conversion factors for air freight transport for
2023 GHG Conversion factors (excluding distance and RF uplifts)
Air Freight
Mode
CO
2
kgCO
2
/tkm
CH
4
kgCO
2
e/tkm
N
2
O
kgCO
2
e/tkm
Total GHG
kgCO
2
e/tkm
Passenger Freight
Domestic flights 1.92 0.0025 0.0182 1.95
Short-haul flights 1.17 0.0001 0.0111 1.18
Long-haul flights 0.57 0.0000 0.0054 0.57
Dedicated Cargo
Domestic flights 2.54 0.0033 0.0240 2.56
Short-haul flights 0.90 0.0001 0.0086 0.91
Long-haul flights 0.62 0.0000 0.0058 0.62
All Air Freight
Domestic flights 2.53 0.0032 0.0240 2.56
Short-haul flights 0.90 0.0001 0.0086 0.91
Long-haul flights 0.60 0.0000 0.0056 0.60
Note: Totals may vary from the sums of the components due to rounding in the more detailed dataset.
Indirect/WTT Conversion factors from Air Transport
8.36. Indirect/WTT emissions factors for air passenger and air freight services include
only emissions resulting from the fuel lifecycle (i.e. production and distribution of
the relevant transport fuel). These indirect/WTT conversion factors were derived
using simple ratios of the direct CO
2
conversion factors and the indirect/WTT
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
103
conversion factors for aviation turbine fuel (kerosene) and the corresponding
direct CO
2
conversion factors for air passenger and air freight transport in the
“Business travel air” and “Freighting goods” worksheets.
Other Factors for the Calculation of GHG Emissions
Great Circle Flight Distances
8.37. We wish to see standardisation in the way that emissions from flights are
calculated in terms of the distance travelled and any uplift factors applied to
account for circling and delay. However, we acknowledge that a number of
methods are currently used.
8.38. An 8% uplift factor is used in the UK Greenhouse Gas Inventory to scale up
Great Circle distances (GCD) for flights between airports to take into account
indirect flight paths and delays, etc. This is lower than the 9-10% suggested by
IPCC Aviation and the global atmosphere and has been agreed with DfT based
on recent analysis as more appropriate for flights arriving and departing from the
UK. This factor has been used since the 2014 update of both the GHGI, and the
GHG Conversion factors set.
8.39. It is not practical to provide a database of origin and destination airports to
calculate flight distances in the GHG Conversion factors. However, the principal
of adding a factor of 8% to distances calculated on a Great Circle is
recommended (for consistency with the existing approach) to take account of
indirect flight paths and delays/congestion/circling. This is the methodology
recommended to be used with the GHG Conversion factors and is applied
already to the conversion factors presented in the 2023 GHG Conversion factors
set.
Non-CO
2
impacts and Radiative Forcing
8.40. The conversion factors provided in the 2023 GHG Conversion factors “Business
travel air” and “Freighting goods” worksheets refer to aviation's direct CO
2
, CH
4
and N
2
O emissions only. There is currently uncertainty over the magnitude of the
other non-CO
2
radiative forcing effects of aviation (including water vapour,
contrails, NO
X
, etc.) which have been indicatively accounted for by applying a
multiplier to account for CO
2
equivalent emissions in some cases.
8.41. The use of CO
2
equivalent emissions metrics such as the Global Warming
Potential or the Global Temperature change Potential requires definition of a
time horizon the period over which the metric is calculated for. Such a choice is
not a scientific one but a policy one. In the UNFCCC, the Global Warming
Potential for 100 years is used (GWP100). The application of GWPs to short-
lived climate forcers, such as the non-CO
2
effects of aviation has particular
problems, but this is an active area of research. Nonetheless, aviation imposes
other effects on the climate which are greater than that implied from simply
considering its CO
2
emissions alone.
8.42. The application of an aggregate multiplier to take account of non-CO
2
effects is a
possible way of illustratively taking account of the full climate impact of aviation.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
104
A multiplier is not a straightforward CO
2
equivalence metric, In particular, it
implies that all other emissions and effects are directly linked to production of
CO
2
, which is not necessarily the case. Nor does it reflect accurately the different
relative contribution of emissions to climate change over time, or reflect the
potential trade-offs between the warming and cooling effects of different
emissions.
8.43. On the other hand, consideration of the non-CO
2
climate change effects of
aviation can be important in some cases, and there is currently no better way of
taking these effects into account than applying an aggregate multiplier. A
multiplier of 1.7 is recommended as a central estimate, based on the best
available scientific evidence, as summarised in Table 43 and the GWP
100
figure
(consistent with UNFCCC reporting convention) in Table 44 below and in
analysis by Lee et al. (2021).
8.44. It is important to note that the value of this 1.7 multiplier is subject to
significant uncertainty and should only be applied to the CO
2
component of
direct emissions (i.e. not also to the CH
4
and N
2
O emissions components). The
2023 GHG Conversion factors provide separate conversion factors including this
radiative forcing uplift in separate tables in the “Business travel air” and
“Freighting goods” worksheets. The 1.7 multiplier is equally applicable to the CO
2
component of the scope 1 litres based emission factors for aviation turbine fuel.
8.45. The non-CO
2
effects are likely to be more pronounced at higher altitudes.
However, the current scientific evidence relates to aviation emissions in their
entirety, and it provides no means of distinguishing the affects at different
altitudes or during different phases of the flight. The multiplier is therefore
recommended to be applied equally to all flights irrespective of distance or
altitude and to equally to all phases of the flight, albeit accepting the
approximations involved in this approach. Similarly, due to the flight altitudes, the
non-CO
2
effects are likely to be less pronounced for turboprops than for
commercial jet aircraft, but again the scientific evidence does not provide a
mechanism to treat them differently, so the recommendation remains to apply
the multiplier equally to all flights.
Table 46: Impacts of radiative forcing according to Lee et al., (2021)
ERF (mW m
-2
) 2018
a
2011
a
2005
a
Sensitivity to
emissions ERF/RF
Contrail cirrus 57.4 (17, 98) 44.1 (13, 75) 34.8 (10, 59) 9.36 x 10
-10
mW m
-
2
km
-1
0.42
CO
2
34.3 (28, 40) 29.0 (24, 34) 25.0 (21, 29) 1.0
Short-term O
3
increase
49.3 (32, 76) 37.3 (24, 58) 33.0 (21, 51) 34.4 ± 9.9 mW m
-2
(Tg (N) yr
-1
)
-1
1.37
Long-term O
3
decrease
-10.6
(-20, -7.4)
-7.9
(-15, -5.5)
-6.7
(-13, -4.7)
-9.3 ± 3.4 mW m
-2
(Tg (N) yr
-1
)
-1
1.18
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
105
ERF (mW m
-2
) 2018
a
2011
a
2005
a
Sensitivity to
emissions ERF/RF
CH
4
decrease -21.2
(-40, -15)
-15.8
(-30, -11)
-13.4
(-25, -9.4)
-18.7 ± 6.9 mW m
-
2
(Tg (N) yr
-1
)
-1
1.18
Stratospheric
water vapor
decrease
-3.2
(-6.0 -2.2)
-2.4
(-4.4, -1.7)
-2.0
(-3.8, -1.4)
-2.8 ± 1.0 mW m
-2
(Tg (N) yr
-1
)
-1
1.18
Net NO
x
17.5
(0.6, 29)
13.6
(0.9, 22)
12.9
(1.9, 20)
5.5 ± 8.1 mW m
-2
(Tg (N) yr
-1
)
-1
Stratospheric
H
2
O increase
2.0 (0.8, 3.2) 1.5 (0.6, 2.4) 1.4 (0.6, 2.3)
0.0052 ± 0.0026
mW m
-2
(Tg (H
2
O) yr
-1
)
-1
---
Soot (aerosol-
radiation)
0.94
(0.1, 4.0)
0.71
(0.1, 3.0)
0.67
(0.1, 2.8)
100.7 ± 165.5 mW
m
-2
(Tg (BC) yr
-1
)
-1
---
Sulfate
(aerosol-
radiation)
-7.4
(-19, -2.6)
-5.6
(-14, -1.9)
-5.3
(-13, -1.8)
-19.9 ± 16.0 mW
m
-2
(Tg (SO
2
) yr
-1
)
-
1
---
Sulfate and
soot
(aerosol-cloud)
---- ---- ---- ---- ---
Net ERF (only
non-CO
2
terms)
66.6
(21, 111)
51.4 (16, 85) 41.9 (14, 69) ---- ---
Net aviation
ERF
100.9
(55, 145)
80.4
(45, 114)
66.9 (38, 95) ---- ---
Net
anthropogenic
ERF in 2011
---- 2290 (1130,
3330)
b
---- ---- ---
a
The uncertainty distributions for all forcing terms are lognormal except for CO
2
and contrail cirrus (normal) and Net NO
x
(discrete pdf).
b
Boucher et al., 2013. IPCC also separately estimated the contrail cirrus term for 2011 as 50 (20, 150) mW m
-2
Table 47: Aviation non-CO
2
emissions equivalence metrics for GWP, GTP and GWP* taken
from Lee et al. (2021)
Metrics
ERF term GWP
20
GWP
50
GWP
100
GTP
20
GTP
50
GTP
100
CO
2
1 1 1 1 1 1
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
106
ERF term GWP
20
GWP
50
GWP
100
GTP
20
GTP
50
GTP
100
Contrail
cirrus
(Tg CO
2
basis) 2.32 1.09 0.63 0.67 0.11 0.09
Contrail
cirrus
(km basis) 39 18 11 11 1.8 1.5
Net NO
x
619 205 114 -222 -69 13
Aerosol-
radiation
Soot
emissions 4288 2018 1166 1245 195 161
SO
2
emissions -832 -392 -226 -241 -38 -31
Water vapor
emissions 0.22 0.10 0.06 0.07 0.01 0.008
CO
2
-eq emissions (Tg CO
2
yr
-1
) for 2018
ERF term GWP
20
GWP
50
GWP
100
GTP
20
GTP
50
GTP
100
GWP*
100
(E
*
CO2e
)
CO
2
1034 1034 1034 1034 1034 1034 1034
Contrail cirrus
(Tg CO
2
basis) 2399 1129 652 695 109 90 1834
Contrail cirrus
(km basis) 2395 1127 651 694 109 90 1834
Net NO
x
887 293 163 -318 -99 19 339
Aerosol-
radiation
Soot
emissions 40 19 11 12 2 2 20
SO
2
emissions -310 -146 -84 -90 -14 -12 -158
Water vapor
emissions 83 39 23 27 4 3 42
Total CO
2
-eq
(using km
basis) 4128 2366 1797 1358 1035 1135 3111
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
107
ERF term GWP
20
GWP
50
GWP
100
GTP
20
GTP
50
GTP
100
GWP*
100
(E
*
CO2e
)
Total CO
2
-eq /
CO
2
4.0 2.3 1.7 1.3 1.0 1.1 3.0
Note: GWP = Global Warming Potential, GTP = Global Temperature Potential
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
108
9. Bioenergy and Water
Section summary
9.1. Bioenergy conversion factors should be used for the combustion of fuels
produced from recently living sources (such as trees) at a site or in an asset
under the direct control of the reporting organisation. This section of the report
describes both the direct (Scope 1) emissions and the indirect (Scope 3)
emissions associated with bioenergy sources.
9.2. The section also includes factors for emissions associated with water supply, to
account for water delivered through the mains supply network, and water
treatment, which are used for water returned to the sewage system through
mains drains. These are classified as Scope 3 emissions.
9.3. For the 2023 update, factors for water supply and water treatment are calculated
using a revised methodology based on the 2021 data from the UK water
companies Carbon Accounting Workbooks (CAW), including the actual volume
of wastewater treated and drinking water supplied by each company.
9.4. Table 45 shows where the related worksheets to the bioenergy and water
conversion factors are available in the online spreadsheets of the UK GHG
Conversion factors.
Table 48: Related worksheets for bioenergy and water emission factors
Worksheet name Full set Condensed set
Bioenergy Y Y
WTT bioenergy Y N
Water supply Y Y
Water treatment Y Y
Summary of changes since the previous update
9.5. The Renewable Transport Fuel Obligation (RTFO) is likely to be highly variable
year on year as suppliers can choose what types of biofuels and sources of
biofuels, they want to use to fulfil that obligation. Therefore, more fuel sources
and more advanced types of biofuels are continually brought into the market, so
the underlying biofuels base is and will continue to change. The WTT factors
reported in DfT’s RTFO 0105 dataset are specific to both the fuel type and the
feedstock. In the 2022 publication of the statistics (third provisional), the dataset
shows a marked increase in biodiesel ME and bioethanol consumption; their
associated Scope 3 emissions have also increased. Consumption of biodiesel
HVO has increased since last year, but its scope 3 emissions have gone down
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
109
due to changes in the feedstocks used and the production plants it is sourced
from.
9.6. A marked increase in the proportion of bioethanol and biodiesel in petrol and
diesel sold on petrol station forecourts has led to an increase in the bio-carbon
emissions factors for forecourt petrol and diesel.
9.7. In the 2023 update, factors for development petrol and diesel, and avtur
(renewable) have been added.
General Methodology
9.8. The 2023 GHG Conversion factors provide tables of conversion factors for: water
supply and treatment, biofuels, biomass and biogas.
9.9. The conversion factors for bioenergy incorporate emissions from the fuel life
cycle and include net CO
2
, CH
4
, N
2
O emissions and indirect/WTT emissions
factors. These are presented for biofuels, biomass and biogas and still use the
AR4 GWP values, while for water they are aligned with AR5 GWP values.
Water
9.10. The conversion factors for water supply and treatment in sections “Water supply”
and “Water treatment” worksheets of the 2023 GHG Conversion factors were
calculated based on 2021 data from UK water companies Carbon Accounting
Workbooks (CAW). These data are used for reporting to the UK regulator (Ofwat)
and all UK water companies use this common approach to reporting these
data.
30
9.11. The CAW data gives GHG intensity for each water company from water supply
and wastewater treatment, accounting for emissions associated with offices and
transport. The 2023 dataset includes the volume of wastewater treated and of
drinking water supplied by each company. This is a more robust metric
compared to previous years' which led to a revised methodology for 2023. This
data is used to generate a weighted average of the volume of wastewater treated
and drinking water supplied. It should also be noted that the data received from
the water industry did not include complete reporting from all water companies,
which introduces uncertainty in both water supply and water treatment estimates.
Biofuels
9.12. At the point of use, biofuels are defined as “net carbon zero” or “carbon neutral”
as any CO
2
expelled during the burning of the fuel is cancelled out by the CO
2
absorbed by the feedstock used to produce the fuel during growth
31
. Therefore,
30
The data are not published in a suitable format for use for the GHG conversion factors. So, more suitable data
were requested from, and provided by a contact at a water company in a personal communication. The individual
companies' data are considered confidential, so can only be published as an aggregation.
31
This is a convention required by international GHG Inventory guidelines and formal accounting rules.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
110
all direct emissions from biofuels provided in the GHG Conversion factors
dataset are only made up of CH
4
and N
2
O emissions.
9.13. Unlike the direct emissions of CO
2
, the CH
4
and N
2
O emissions are not offset by
absorption in the growth of the feedstock used to produce the biofuel. Specific
emission factors are available for solid biomass but not for liquid and gaseous
biofuels. In the absence of other information, these emission factors have been
assumed to be equivalent to those produced by combusting the corresponding
liquid and gaseous fossil fuels (i.e. diesel, petrol, LNG or CNG) from the “Fuels”
section.
9.14. The net GHG emissions for biofuels vary significantly depending on the
feedstock source and production pathway. Therefore, for accuracy, it is
recommended that more detailed/specific figures are used where available. For
example, detailed indirect/WTT conversion factors by source/supplier are
provided and updated regularly in the Quarterly Reports on the RTFO website
(DfT, 2023).
9.15. The indirect/WTT/fuel lifecycle conversion factors for biofuels were based on UK
average factors from the Quarterly Reports
32
on the Renewable Transport Fuel
Obligation (RTFO) (DfT, 2023). These average factors and the direct CH
4
and
N
2
O factors are presented in Table 46.
9.16. In addition to the direct and indirect/WTT conversion factors provided in Table
46, conversion factors for the Out of Scope CO
2
emissions have also been
provided based on data sourced from the UK GHG Inventory (GHGI) for 2023
(managed by Ricardo Energy & Environment) and the JEC WTT v5 study (JEC
WTW v5, 2020).
Table 49: Fuel lifecycle GHG Conversion factors for biofuels
Biofuel
Emissions Factor, gCO
2
e/MJ
RTFO
Lifecycle
(1)
Direct CH
4
(2)
Direct N
2
O
(2)
Direct CO
2
(2*)
Total
Lifecycle
Direct CO
2
Emissions
(Out of
Scope
(3)
)
Biodiesel ME
13.52 0.01 1.03 4.02 18.58 72.16
Biodiesel ME
(from used
cooking oil)
27.02 0.22 0.20 0.00 27.45 71.37
Biodiesel ME
(from Tallow)
12.78 0.08 0.03 0.00 12.89 55.28
Biodiesel HVO
11.29 0.01 1.03 4.02 16.35 72.16
32
These cover the period from January to December 2022 and were the most recent figures available at the time of
production of the 2023 GHG Conversion factors. The report is available from the GOV. website at
: Renewable fuel
statistics - GOV.UK (www.gov.uk)
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
111
Off road
biodiesel
19.93 0.01 1.03 4.02 24.99 72.16
Bioethanol
8.11 0.01 1.03 0.00 9.15 70.83
Biomethane
(compressed)
10.73 0.05 0.04 0.00 10.82 64.51
Biomethane
(liquified)
27.40 0.01 1.03 0.00 28.43 73.52
Biopropane
26.66 0.22 0.20 0.00 27.08 70.25
Methanol (bio)
13.52 0.01 1.03 4.02 18.58 72.16
Development
diesel
23.92 0.08 0.03 0.00 24.03 56.52
Development
petrol
37.62 0.22 0.20 0.00 38.04 68.92
Avtur
(renewable)
5.84 0.04 0.68 0.00 6.56 71.70
Notes:
(1) Based on UK averages from the RTFO Quarterly Report from DfT (DfT, 2023).
(2) Based on corresponding emission factors for diesel, petrol, LNG or CNG. *Biodiesel, as of April 2020, is now accounting for
fossil component of biodiesel to align with the UK GHGI estimates; based on stoichiometric analysis of chemical compounds.
(3) The Total GHG emissions outside of the GHG Protocol Scope 1, 2 and 3 is the actual amount of CO
2
emitted by the biofuel
when combusted. This will be counter-balanced by /equivalent to the CO
2
absorbed in the growth of the biomass feedstock used
to produce the biofuel. These factors are based on data from the JEC Well to Tank Study (v5).
Other biomass and biogas
9.17. A number of different biomass types can be used in dedicated biomass heating
systems, including wood logs, chips and pellets, as well as grasses/straw or
biogas. Conversion factors produced for these bioenergy sources are presented
in the “Bioenergy” worksheet of the 2023 GHG Conversion factors set.
9.18. All indirect/WTT/fuel lifecycle conversion factors here, except for wood logs, are
sourced from the Ofgem carbon calculators (Ofgem, 2021), (Ofgem, 2015).
These calculators have been developed to support operators determining the
GHG emissions associated with the cultivation, processing and transportation of
their biomass fuels.
9.19. Indirect/WTT/fuel lifecycle conversion factors for wood logs, which are not
covered by the Ofgem tool, were obtained from the Biomass Environmental
Assessment Tool (BEAT
2
) (Forest Research, 2016a), provided by Defra.
9.20. The direct CH
4
and N
2
O conversion factors presented in the 2023 GHG
Conversion factors are based on the conversion factors used in the UK GHG
Inventory (GHGI) for 2023 (Ricardo Energy & Environment, 2023).
9.21. In some cases, calorific values were required to convert the data into the
required units. The most appropriate source was used, and this was either from
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
112
the Forest Research (Forest Research, 2023), DUKES (Table A.1) or Swedish
Gas Technology Centre 2012 (which is also backed up by other data sources).
The values used and their associated moisture contents are provided in Table
47.
9.22. In addition to the direct and indirect/WTT conversion factors provided,
conversion factors for the out of scope CO
2
emissions are also provided in the
2023 GHG Conversion factors (see “Outside of Scopes” and the relevant notes
on the page), based on data sourced from Forest Research, the Forestry
Commission’s research agency (previously BEC) (Forest Research, 2016a).
Table 50: Fuel sources and properties used in the calculation of biomass and biogas
emission factors
Biomass Moisture content Net calorific value
(GJ/tonne)
Source
Wood chips 25% moisture
13.6
Forestry Research
Wood logs Air dried 20% moisture
14.7
UK GHGI
Wood pellets 10% moisture
17.3
DUKES
Grass/Straw 10% moisture
13.4
UK GHGI
Biogas Based on 65% CH
4
20.0
Swedish Gas Technology
Centre 2012
Landfill gas Based on 40% CH
4
12.3
Swedish Gas Technology
Centre 2012
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
113
10. Overseas Electricity Emission Factors
Section summary
10.1. This section contains guidance for users on how to find Scope 2 conversion
factors for electricity generation in overseas countries and how to calculate the
indirect/WTT emissions associated with these activities. These should be used
for sites owned or controlled by the reporting organisation in another country.
The Scope 2 indirect factors are no longer included within the Conversion factors
but are available for sale from the CO
2
Emissions from Fuel Combustion online
data service at the International Energy Agency (IEA) website. Indirect/WTT
factors are no longer being provided as part of the UK GHG conversion factors.
Instead, guidance will be provided in the sections below on how to manually
calculate the desired factors.
10.2. The related worksheet for this section is the “WTT UK & overseas elec”,
available only in the full set of the UK GHG Conversion factors.
Summary of changes since the previous update
10.3. Indirect/WTT factors are no longer being provided as part of the UK GHG
conversion factors. Instead, guidance will be provided in the sections below on
how to manually calculate the desired factors.
Direct Emissions and Emissions resulting from Transmission and
Distribution Losses from Overseas Electricity Generation
10.4. UK companies reporting on their emissions may need to include emissions
resulting from overseas activities. Whilst many of the fuel conversion factors are
likely to be similar for fuels used in other countries, electricity conversion factors
vary considerably due to fuel mix.
10.5. However, the overseas electricity factors have not been provided after the 2015
update due to a change in the licencing conditions for the underlying
International Energy Association (IEA) dataset upon which they were based.
10.6. The dataset on electricity conversion factors from the IEA has previously been
identified as the best available consistent dataset for electricity emissions
factors. These factors are a time series of combined electricity CO
2
conversion
factors per kWh GENERATED (Scope 2), and corresponding conversion factors
for losses in Transmission and Distribution (T&D) (Scope 3). These can be
purchased from the IEA website
33
.
10.7. Since the 2018 update year, the emissions associated with electricity losses
during transmission and distribution of electricity between the power station and
33
Available here: http://data.iea.org/
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
114
an organisation's site(s) are also provided in the IEA dataset, these are also now
no longer provided in the UK GHG Conversion factors dataset.
10.8. The conversion factors supplied by the IEA do not include indirect/WTT
emissions.
10.9. For European countries, an alternative data set is available for free from the
Association of Issuing Bodies (AIB). Within the 2021 edition of the European
Residual Mix report
34
, Table 5 presents the production mix for each country and
their direct CO
2
conversion factor (the ‘CO
2
(gCO
2
/kWh)’ column). These values
differ from the IEA values due to differences in methodology.
Indirect/WTT Emissions from Overseas Electricity Generation
10.10. As of the 2022 publication of the UK GHG Conversion Factors, indirect/WTT
emission factors for overseas electricity generation is no longer provided.
Instead, the method for calculating the factors manually will be provided. The
methodology used in previous editions of the UK GHG conversion factors was to
take the direct emission factor for the country in questions and multiply it by the
ratio between the UK’s indirect/WTT factor and the UK’s direct factor. This
approach allows an indirect factor to be estimated for a country without fully
modelling the electricity generation system of the country. Examples of the
calculations are provided below.
10.11. As the Indirect/WTT factor for UK Electricity is no longer updated annually, the
ratio between the published indirect/WTT factor and the direct factor in the latest
year will not be suitable for users looking to calculate an estimate for the
indirect/WTT factor for another country. Therefore, users are advised to use the
ratio for the year 2020 from the 2022 publication of the UK Conversion Factors
going forward, as described below.
10.12. The ratio between the UK’s Indirect/WTT factor and direct factor is presented in
Table 11 in the 2022 publication of the UK GHG Conversion Factors, for 2020
this weighted average is 24.19%. If, for example, the direct factor for French
electricity generation was 61 gCO
2
e/kWh then the Indirect/WTT factor can be
calculated as follows:
=  × 


= 61 ×
24.19
100
= 14.76 
/
34
Available here : https://www.aib-net.org/facts/european-residual-mix/2021
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
115
10.13. To calculate the transmission and distribution (T&D) WTT factor, the percentage
of losses for the country must be applied to the direct factor. For example, if the
French electricity losses were 8%, the WTT T&D Losses factor could be
calculated as follows:

&
=

1 
× 


=
61
1
8
100
61×
24.19
100
= 1.28 
/
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
116
11. Hotel Stay
Section summary
11.1. This section describes the calculation of conversion factors for Hotel Stays,
which should be used to report the Scope 3 emissions associated with overnight
hotel stays for business travel.
11.2. These factors appear in the “Hotel Stay” worksheet, available only in the full set
of the UK GHG Conversion factors set.
11.3. Hotel Stay conversion factors remain constant since the publish of 2022 GHG
Conversion factors.
Summary of changes since the previous update
11.4. Hotel Stay conversion factors are not all aligned with the AR5 GWPs in the 2023
update, because the data from Hotel Sustainability Benchmarking Index 2021
were in CO
2
e with no breakdown of CH
4
and N
2
O emissions. The conversion
factors of different countries could be in either AR4 or AR5 basis, depending on
the GWPs used by the reporting hotels if the data were reported in CO
2
e instead
of the raw values of CO
2
, CH
4
and N
2
O emissions.
Direct emissions from a hotel stay
11.5. All the hotel stay conversion factors presented in the 2023 GHG Conversion
factors are in a CO
2
e basis. These are taken directly from the Cornell Hotel
Sustainability Benchmarking Index (CHSB) Tool, produced by the International
Tourism Partnership (ITP) and Greenview (ITP/Greenview, 2021). The factors
use annual data comprising several international hotel organisations.
11.6. For the 2022 GHG Conversion factors the median benchmark for each country,
for all hotel classes included within the tool, was used.
11.7. The following five steps were carried out in the CHSB study to arrive at the
conversion factors included within the 2022 GHG Conversion factors:
a) Harmonising. The data received was converted into the same units and then
converting to kg CO
2
e.
b) Validity tests were carried out to remove outliers or errors from the data sets
received.
c) Geographic and climate zone segmentation. The data sets were grouped by
location and climate zone.
d) Property segmentation. Hotels were grouped by property segment, applying a
revenue-based approach and property-type segmentation used by STR Global
(using 2020 global chain scales), the asset class segmentation of full-service
and limited-service hotels, and a global data set of star levels for hotels as
identified by Expedia.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
117
e) Minimum output thresholds. A minimum threshold of eight hotels per
geographical region was required before it was populated within the tool. If
there were less than eight hotels, these were excluded from the final outputs.
11.8. It should be noted that there are certain limitations with the CHSB tool used to
derive the 2022 GHG Conversion factors. The main limitations are detailed
below:
a) The factors are skewed toward large, more upmarket hotels and to branded
chains. This is because it was mainly large owners or operators of hotels who
submitted the aggregated data sets. Hotels in the lower tier segments are not
as strongly represented in these data.
b) The data sets used to derive the factors have not been verified and therefore it
cannot be concluded to be 100% accurate.
c) 65% of the benchmarks are within United States geographies. The datasets
used are updated each year, therefore it is expected that a wider range of
countries will be covered in the future and the tool aims to seek data sets from
outside the U.S in future years.
d) The factors do not distinguish a property’s amenities except for outsourced
laundry services, which are taken into consideration. The factors are an
aggregation of all types of hotels within the revenue-based segmentation and
geographic location. Which means it is very difficult to compare two hotels since
some may contain distinct attributes, (such as restaurants, fitness centres,
swimming pool and spa) while others do not.
e) At present, there is no breakdown of CH
4
and N
2
O emissions, plus there are also
no indirect/ WTT factors.
11.9. For more information about how the factors have been derived, please see
(ITP/Greenview, 2021), where more granular data is also available by city and
segment.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
118
12. Material Consumption/Use and Waste
Disposal
Section summary
12.1. Material use conversion factors should be used only to report on procured
products and materials based on their origin (that is, comprised of primary
material or recycled materials). For primary materials, these factors cover the
extraction, primary processing, manufacture and transportation of materials to
the point of sale, not the materials in use. For secondary materials, the factors
cover sorting, processing, manufacture and transportation to the point of sale,
not the materials in use. These factors are useful for reporting efficiencies gained
through reduced material procurement or the benefit of procuring items that are
the product of a previous recycling process. The factors are not suitable for
quantifying the benefits of collecting products or materials for recycling.
12.2. Waste-disposal figures should be used for Greenhouse Gas Protocol reporting of
Scope 3 emissions associated with end-of-life disposal of different materials.
With the exception of landfill, these figures only cover emissions from the
collection of materials and delivery to the point of treatment or disposal.
They do not cover the environmental impact of different waste
management options. They are suitable only for Scope 3 reporting of
emissions impacts under the GHG Protocol Corporate Value Chain (Scope 3)
Accounting and Reporting Standard (‘the Scope 3 Standard’)
35
.
12.3. These factors appear in the “Material use” and “Waste disposal” worksheets,
available in both the full and condensed sets of the UK GHG Conversion factors
12.4. Users wishing to quantify the impact of different waste management options may
wish to use WRAP Carbon Waste and Resources Metric (CarbonWARM). Note
that CarbonWARM outputs cannot be used for reporting Scope 3 Greenhouse
Gas emissions.
Summary of changes since the previous update
The following changes have been made to the Material Use factors since the 2022 update.
12.5. Minor updates to the factors to account for this 2023 update of transport and UK
electricity generation factors.
The following changes have been made to the Waste Disposal factors since the 2022 update.
12.6. Minor updates to the factors to account for this 2023 update of transport and UK
electricity generation factors.
35
http://www.ghgprotocol.org/standards/Scope-3-standard
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
119
12.7. Updates to the average capture and oxidation of methane at landfills, to reflect
the most recent figures (2020) given in the UK Greenhouse Gas Inventory
(Ricardo Energy & Environment 2022).
Emissions from Material Use and Waste Disposal
12.8. The GHG conversion factors for material consumption/use and waste disposal
have been aligned with the GHG Protocol Corporate Value Chain (Scope 3)
Accounting and Reporting Standard (‘the Scope 3 Standard’)
36
. This sets down
rules on accounting for emissions associated with material consumption and
waste management.
12.9. The company sending waste for recycling does not receive any benefit to its
carbon account from recycling as the figures for waste disposal no longer
include the potential benefits where primary resource extraction is replaced by
recycled material. Under this accounting methodology, the organisation using
recycled materials will see a reduction in their account where this use is in place
of higher impact primary materials.
12.10. Whilst the factors are appropriate for accounting, they are therefore not
appropriate for informing decision making on alternative waste
management options (i.e. they do not show the impact of waste management
options).
12.11. All figures expressed are kilograms of carbon dioxide equivalent (CO
2
e) per
tonne of material. This includes the Kyoto protocol basket of greenhouse gases.
Please note that biogenic
37
CO
2
has been excluded from these figures.
12.12. The information for material consumption presented in the conversion factors
spreadsheet has been separated from the emissions associated with waste
disposal to allow separate reporting of these emission sources, in compliance
with the Scope 3 Standard.
12.13. Businesses must quantify emissions associated with both material use and
waste management in their Scope 3 accounting, to fully capture changes due to
activities such as waste reduction.
12.14. The following subsections summarise the methodology, key data sources and
assumptions used to define the emission factors.
Material Consumption/Use
12.15. Figure 5 shows the boundary of greenhouse gas emissions summarised in the
material consumption table.
36
http://www.ghgprotocol.org/standards/Scope-3-standard
37
Biogenic CO
2
is the CO
2
absorbed and released by living organisms during and at the end of their life. By
convention, this is assumed to be in balance in sustainably managed systems.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
120
Figure 5: Boundary of material consumption data sets
Notes: Arrows represent transportation stages; greyed items are excluded.
12.16. The conversion factors presented for material consumption cover all GHG
emissions from the point of raw material extraction through to the point at which
a finished good is manufactured and provided for sale. Therefore, commercial
enterprises may use these factors to estimate the impact of goods they procure.
Organisations involved in manufacturing goods using these materials should
note that if they separately report emissions associated with their energy use in
forming products with these materials, there is potential for double counting. As
many of the data sources used in preparing the tables are confidential, we
cannot publish a more detailed breakdown. However, the standard assumptions
made are described below.
12.17. Conversion factors are provided for both recycled and primary materials. To
identify the appropriate carbon factor, an organisation should seek to identify the
level of recycled content in materials and goods purchased. Under this
accounting methodology, the organisation using recycled materials in place of
primary materials receives the benefit of recycling in terms of reduced Scope 3
emissions.
12.18. These factors are estimates to be used in the absence of data specific to your
goods and services. If you have more accurate information for your products,
then please refer to the more accurate data for reporting your emissions.
12.19. Information on raw material extraction and manufacturing impacts is commonly
sourced from the same reports, typically life cycle inventories published by trade
associations. The sources utilised in this study are listed in Appendix 1 to this
report. The stages covered include mining activities for non-renewable
resources, agriculture and forestry for renewable materials, production of
materials used to make the primary material (e.g. soda ash used in glass
production) and primary production activities such as casting metals and
producing board. Intermediate transport stages are also included. Full details are
available in the referenced reports.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
121
12.20. Conversion factors provided include emissions associated with product forming.
12.21. Table 48 identifies the transportation distances and vehicle types which have
been assumed as part of the conversion factors provided. The impact of
transporting the raw material (e.g. forestry products, granules, glass raw
materials) is already included in the manufacturing profile for all products. The
transportation tables and Greenhouse Gas Protocol guidelines on vehicle
emissions have been used for most vehicle emission factors
Table 51: Distances and transportation types used in EF calculations
Destination /
Intermediate
Destination
One Way
Distance
Mode of
transport
Source
Transport of raw
materials to the
factory
122km Average,
all HGVs
(DfT, 2010)
Based on average haulage
distance for all commodities, not specific
to the materials in the first column.
Distribution to Retail
Distribution Centre
& to retailer
96km
Average,
all HGVs
(McKinnon, 2007), (IGD, 2018)
12.22. Transport of goods by consumers is excluded from the factors presented, as is
the use of the product.
Waste Disposal
12.23. As defined under the Scope 3 standard, emissions associated with recycling and
energy recovery are attributed to the organisation which uses the recycled
material or which uses the waste to generate energy. The emissions attributed to
the company which generates the waste cover only the collection of waste from
their site. This does not mean that emissions from waste management or
recycling are zero or are not necessary; it simply means that, in accounting
terms, these emissions are for another organisation to report.
12.24. The final emissions factor data summarised in the tables have been revised to
align with the company reporting requirements in the Scope 3 Standard. Under
this standard, to avoid double-counting, the emissions associated with recycling
are attributed to the user of the recycled materials, and the same attribution
approach has also been applied to the emissions from energy generation from
waste. Only transportation and minimal preparation emissions are attributed to
the entity disposing of the waste.
12.25. Landfill emissions remain within the accounting Scope of the organisation
producing waste materials. Factors for landfill are provided within the waste
disposal sheet in the 2023 GHG Conversion Factors. These factors are drawn
directly from MELMod, which contains information on landfill waste composition
and material properties, with the addition of collection and transport emissions.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
122
12.26. Figures for Refuse Collection Vehicles have been taken from the Environment
Agency’s Waste and Resource Assessment Tool for the Environment (WRATE)
(Environment Agency, 2010).
12.27. Transport distances for waste were estimated using a range of sources,
principally data supplied by the Environment Agency for use in the WRATE
(2005) tool (Environment Agency, 2010). The distances adopted are shown in
Table 49
Table 52: Distances used in the calculation of emission factors
Destination / Intermediate
Destination
One Way
Distance
Mode of
transport
Source
Household, commercial and
industrial landfill
25km by Road 26 Tonne GVW
Refuse Collection
Vehicle,
maximum waste
capacity 12
tonnes
Environment
Agency (2010)
Inert landfill 10km by Road Environment
Agency (2010)
Transfer station / CA site 10km by Road
MRF 25km by Road
MSW incinerator 50km by Road
Cement kiln 50km by Road
Recyclate 50km by Road Average, all
HGVs
Environment
Agency (2010)
Inert recycling 10km by Road Environment
Agency (2010)
12.28. Road vehicles are volume-limited rather than weight limited. An average loading
factor (including return journeys) is used for all HGVs, based on the HGV factors
provided in the 2023 Conversion factors. Waste vehicles leave a depot empty
and return fully laden. A 50% loading assumption reflects the change in load
over a collection round which could be expected.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
123
13. Fuel Properties
Section summary
13.1. The fuel properties can be used to determine the typical calorific values /
densities of most common fuels.
13.2. These factors appear in the “Fuel properties” worksheet, available in both the full
and condensed sets of the UK GHG Conversion factors set.
Summary of changes since the previous update
13.3. Fuel property data for the vast majority of fuels has been changed from using
BEIS’s Digest of UK Energy Statistics (BEIS, 2022) (DUKES) to using data from
the UK GHG Inventory (GHGI) (Ricardo Energy & Environment, 2023). The
GHGI data is largely based on DUKES, but in some cases deviates, either to use
data consistent with the carbon content data source (such as for power stations
coal, which uses EU ETS data), or in cases where there are apparent
inconsistencies in the time series, as the GHGI must present a consistent time
series from 1990. This change will improve consistency between the GHGI and
the Conversion Factors.
General Methodology
13.4. The following standard properties for key fuels are provided in the UK GHG
Conversion factors:
a) Gross Calorific Value (GCV) in units of GJ/tonne, kWh/kg and kWh/litre;
b) Net Calorific Value (NCV) in units of GJ/tonne, kWh/kg and kWh/litre;
c) Density in units of litres/tonne and kg/m
3
.
13.5. The standard conversion factors from the GHGI are now provided on a net
energy basis. These are converted into different energy, volume and mass units
for the various data tables using the information on these fuel properties (i.e.
Gross and Net Calorific Values (CV), and fuel densities in litres/tonne) from UK
GHGI data and in some cases data from BEIS’s Digest of UK Energy Statistics
(BEIS, 2022).
13.6. The fuel properties of most biofuels are predominantly based on data from JEC -
Joint Research Centre-EUCAR-CONCAWE collaboration, “Well-to-Wheels
Analysis of Future Automotive Fuels and Powertrains in the European Context”
Version 5, 2020 (Report EUR 30269 EN - 2020) (JEC WTW v5, 2020). The
exception is for methyl-ester based biodiesels and bioethanol, where values for
NCV and GCV are taken from the UK GHGI.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
124
13.7. Fuel properties, both density and CV, for wood chips (25% moisture content)
come from the Forest Research (previously Biomass Energy Centre (BEC)
38
.
The density of wood logs (20% moister content), wood chips (25% moister
content) and grasses/straw (25% water content) are also sourced from the
Forest Research
39
.
38
Available at: https://www.forestry.gov.uk/fr/beeh-9ukqcn
39
Available at: https://www.forestry.gov.uk/fr/beeh-absg5h
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
125
14. SECR kWh Conversion factors
Section summary
14.1. The new Streamlined Energy and Carbon Reporting (SECR) came into effect on
the 1 April 2019. One of the requirements of the guidance is to report GHG
emissions from activities for which the company is responsible. SECR obligations
differ between quoted and unquoted organisations covering Scope 1, Scope 2
and some Scope 3 emissions. Most will need to calculate the GHG emissions for
the combustion of fuel (including transport fuel) and the operation of any facility;
together with the annual emissions from the purchase of electricity, heat, steam
or cooling by the company for its own use. See the Environmental Reporting
Guidelines, (BEIS, 2019), for more details.
14.2. The SECR also requires the total energy use that is used to calculate these GHG
emissions to be provided in kilowatt hours (kWh).
14.3. When organisations are calculating the GHG emissions associated with fuels
(Scope 1), bioenergy (Scope 1), electricity (Scope 2) and heat and steam (Scope
2), they will either already have the kWh values or will be able to convert units
such as GJ, litres or tonnes using the fuel properties or conversion data provided
at the end of the conversion factors spreadsheet.
14.4. For transport, companies may have two types of data which they can use to
calculate vehicles emissions (cars, motorcycles, vans and HGVs owned or
controlled by the company):
a) Fuel consumption data in litres or kWh. In the instance of litres, this can easily be
converted to kWh using the fuel properties provided at the end of the conversion
factors spreadsheet. This is the preferred and more accurate method to use.
b) Journey distance in km or miles. If a company does not have fuel consumption
data (option a), they may have a record of the total distance travelled, for
example from expense claims. In this instance, the km or miles data will need to
be converted into kWh. This will require an additional factor, which is what we
have provided in the SECR factors worksheet.
Table 53: Related worksheets to SECR kWh emissions factors
Worksheet name Full set Condensed set
SECR kWh pass & delivery vehs Y Y
SECR kWh UK electricity for EV Y Y
14.5. SECR kWh conversion factors have been calculated for passenger and delivery
vehicles including; cars, motorcycles, vans and HGVs.
14.6. The factors are split out between two worksheets:
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
126
a) SECR kWh pass & delivery vehsworksheet contains cars, motorcycles, vans
and HGVs, including electric vehicles (i.e. Plug-in Hybrid Electric Vehicles /
Range-Extended Electric Vehicles and Battery Electric Vehicles) where the
kWh factors presented only include the conventional fuel use (i.e. petrol or
diesel)
b) SECR kWh UK electricity for EV” worksheet contains only the kWh factors for
the electricity consumed by the electric vehicles.
Summary of changes since the previous update
14.7. There were no major methodological changes in the 2023 update.
General Methodology
14.8. The factors are calculated using a two-step approach:
Step 1 - Convert km or miles data into kg CO
2
using the appropriate transport
GHG conversion factor. These are the factors found within the passenger and
delivery vehicles worksheets.
Step 2 Divide the kg CO
2
figure, from step 1, by the fuel net kWh conversion
factor (e.g. diesel or petrol). These are the figures found within the fuel
worksheet.
14.9. The CO
2
GHG conversion factor for some vehicle types are calculated using a
mixture of fuels, such as hybrid vehicles, or for those where the fuel is unknown.
In these instances, the kWh conversion factor used in step 2 is calculated using
the appropriate percentage fuel split used in calculating the GHG conversion
factors.
14.10. The calculation of the SECR kWh conversion factors are based on using the CO
2
(and not the CO
2
e) factors. This is because the CO
2
e factor is comprised of the
CO
2
, CH
4
and N
2
O factors and the CH
4
and N
2
O emissions are not directly linked
to the energy consumption but they are related to the specific (exhaust) emission
after-treatment systems. For different vehicle types, the ratio is different for the
same fuel type. Hence the calculation uses the ratio of CO
2
with the average fuel
conversion factor.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
127
15. Homeworking
Section summary
15.1. This section describes the calculation of conversion factors for Homeworking,
which should be used to report the Scope 3 emissions associated with
employees working remotely from home.
15.2. These factors appear in the “Homeworking” worksheet, available only in the full
set of the UK GHG Conversion factors set.
15.3. Homeworking conversion factors remain constant since the publish of 2022 GHG
Conversion factors but have been updated from AR4 to AR5 GWP values.
General Methodology
15.4. The methodology is based on the “Homeworking emission Whitepaper” (EcoAct,
2020). These factors estimate the incremental energy use from office equipment
and home heating by homeworking employees which would not have occurred in
an office-working scenario.
15.5. All the Homeworking conversion factors presented in the 2023 GHG Conversion
factors are in a CO
2
e basis.
15.6. The Homeworking conversion factors are provided on a 'Full-time Equivalent
(FTE) working hour' basis, representing the GHG emissions from one hour of
work by one full-time employee.
15.7. There are several assumptions used in the estimation of the Homeworking
conversion factors, as listed below. These assumptions would be updated in the
future if there are data sources that are more updated or accurate.
15.8. Office equipment is an estimation of energy used by a homeworking employee.
GHG conversion factors for electricity consumption come from the UK GHG
Conversion factors model outputs for UK Electricity. There are 3 assumptions:
a) assumed that a homeworking employee only uses energy for a laptop or PC,
monitor, phone, printer and lighting;
b) assumed that the energy used by a homeworking employee is 140W, same
as the energy used by a workstation (a laptop or PC, monitor, phone and
printer). Electricity use data for a workstation came from CIBSE Guide F
(CIBSE, 2012);
c) assumed that the energy used for lighting is 10W per homeworking employee
(an assumption by EcoAct);
15.9. Home heating is an annual average of energy used for heating estimated using
data from "Typical Domestic Consumption values 2020" (Ofgem, 2020) and
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
128
"Estimates of heat use in the United Kingdom in 2013" (DECC, 2014). GHG
conversion factors for natural gas consumption come from the UK GHG
Conversion factors model outputs for Fuels. There are 4 assumptions:
a) assumed that all home heating in the UK is powered by natural gas (survey
showed that 86% of UK homes are heated by natural gas (DLUHC, 2021);
b) assumed that in the UK, heating is used 6 months per year (October to
March);
c) assumed that heating is used 10 hours per day during heating season; and
d) assumed that one-third of the employees have at least one household
member who would normally remain at home during the day (result from an
internal staff survey done by NatWest Group in 2020), therefore only two-third
(66.7%) of the employees moving to homeworking would result in incremental
heating energy.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
129
References
ACEA. (2020). WLTP Facts. Retrieved from https://wltpfacts.eu/
AEA/Ricardo. (2011). Reduction and Testing of Greenhouse Gas (GHG) Emissions from Heavy
Duty Vehicles Lot 1: Strategy. Ricardo AEA. Retrieved from
https://ec.europa.eu/clima/sites/clima/files/transport/vehicles/docs/ec_hdv_ghg_strategy_
en.pdf
AIB. (2023). European Residual Mix. Retrieved from Association of Issuing Bodies:
https://www.aib-net.org/facts/european-residual-mix
Allen, J. and Browne, M. (2008). Using official data sources to analyse the light goods vehicle
fleet and operations in Britain. University of Westminster . Retrieved from
http://www.greenlogistics.org/SiteResources/61debf21-2b93-4082-ab15-
84787ab75d26_LGV%20activity%20report%20(final)%20November%202008.pdf
BEIS. (2019). Environmental reporting guidelines: including Streamlined Energy and Carbon
Reporting requirements. Retrieved from
https://www.gov.uk/government/publications/environmental-reporting-guidelines-
including-mandatory-greenhouse-gas-emissions-reporting-guidance
BEIS. (2019a). Combined Heat and Power Quality Assurance (CHPQA) Programme. Retrieved
January 3, 2020, from https://www.gov.uk/guidance/combined-heat-power-quality-
assurance-programme
BEIS. (2020). Government emission conversion factors for greenhouse gas company reporting.
Retrieved June 9, 2020, from https://www.gov.uk/government/collections/government-
conversion-factors-for-company-reporting
BEIS. (2022). Digest of UK Energy Statistics (DUKES). Retrieved 2020, from
https://www.gov.uk/government/statistics/digest-of-uk-energy-statistics-dukes-2022
BEIS. (2022a). Digest of UK Energy Statistics (DUKES): natural gas. Retrieved 2019, from
https://www.gov.uk/government/statistics/natural-gas-chapter-4-digest-of-united-
kingdom-energy-statistics-dukes
BFF. (2007). Carbon Emissions of Mixed Passenger and Vehicle Ferries on UK and Domestic
Routes. Best Foot Forward for the Passenger Shipping Association (PSA).
Boldrin, Alessio, Karin R. Hartling, Maria Laugen, and Thomas H. Christensen. (2010, October).
Environmental Inventory Modelling of the Use of Compost and Peat in Growth Media
Preparation. Resources, Conservation and Recycling, 54(12), 125060. Retrieved from
https://doi.org/10.1016/j.resconrec.2010.04.003
CAA. (2021). Data and Analysis; datasets for 2018 flights from UK airports. Retrieved March
2020, from Civil Aviation Authority: https://www.caa.co.uk/Data-and-analysis/UK-aviation-
market/Airlines/Datasets/UK-Airline-data/2018/Airline-data-2018/
CBS. (2023). Dutch Electricity Factor. Retrieved 2020, from https://www.cbs.nl/nl-
nl/achtergrond/2023/06/rendementen-en-co2-emissie-van-elektriciteitsproductie-in-
nederland-update-2021
CCC. (2009). Meeting the UK aviation target-options for reducing emissions to 2050. Committee
on Climate Change.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
130
CIBSE. (2012). CIBSE Guide F. The Chartered Institution of Building Services Engineers.
Clear. (2008). Dataset of motorcycle fuel consumption compiled by Clear for the development of
its motorcyle CO2 model used in its carbon offsetting products. Retrieved from
https://clear-offset.com/
CPI. (2019). The economic value of the UK paper-based industries 2019. Swindon: CPI.
Retrieved from https://thecpi.org.uk/library/PDF/Public/Publications/Reports/CPI-
Economic-Review-2019.pdf
DECC. (2014). Estimates of heat use in the United Kingdom in 2013. . Retrieved April 27, 2022,
from Department of Energy and Climate Change:
https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment
_data/file/386858/Estimates_of_heat_use.pdf
DfT. (2006). Average of tonnes per load to/from UK derived from Table 2.6, from Road Freight
Statistics 2005. Department for Transport .
DfT. (2010). Transport Statistics Bulletin: Road Freight Statistics 2008 National Statistics Table
1.14d. Retrieved from https://data.gov.uk/dataset/7efdee14-8cc9-406f-973e-
f32ed8c28b7e/road-freight-statistics
DfT. (2017). Road Freight Statistics: Table RFS0141, July 2017. Retrieved July 13, 2017, from
https://www.gov.uk/government/collections/road-freight-domestic-and-international-
statistics
DfT. (2019b). Passenger distance travelled (BUS03). Retrieved December 17, 2019, from
https://www.gov.uk/government/statistical-data-sets/bus03-passenger-distance-travelled
DfT. (2020a). Light rail and tram statistics. Retrieved December 19, 2019, from
https://www.gov.uk/government/collections/light-rail-and-tram-statistics
DfT. (2022). df_VEH0270: Vehicles registered for the first time by body type, make, generic
model, model, fuel type and engine size: United Kingdom.
https://www.gov.uk/government/statistical-data-sets/vehicle-licensing-statistics-data-files.
DfT. (2022a). Road freight statistics. Retrieved January 20, 2021, from
https://www.gov.uk/government/statistical-data-sets/rfs01-goods-lifted-and-distance-
hauled
DfT. (2023). Biofuels statistics. Retrieved February 2023, from
https://www.gov.uk/government/collections/renewable-fuel-statistics
DfT. (2023). Department for Transport. Retrieved 2023, from Renewable Fuel Statistics:
https://www.gov.uk/government/collections/renewable-fuel-statistics
DfT and DVLA. (2022, May 24). Vehicle licensing statistics data files, df_VEH0160_GB.
Retrieved from GOV.UK: https://www.gov.uk/government/statistical-data-sets/vehicle-
licensing-statistics-data-files
DLUHC. (2021). English Housing Survey 2019 to 2020: energy. Retrieved April 27, 2022, from
Department for Levelling Up, Housing and Communities:
https://www.gov.uk/government/statistics/english-housing-survey-2019-to-2020-energy
DVLA. (2020). Vehicle statistics. Department for Transport, Driver and Vehicle Licensing
Agency, and Driver and Vehicle Standards Agency. Retrieved 2019, from
https://www.gov.uk/government/collections/vehicles-statistics
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
131
EC JRC. (2009). Environmental Impact Potentials of Textiles (IMPRO-Textiles). (E. C. Reports,
Producer) Retrieved April 10, 2019, from
http://susproc.jrc.ec.europa.eu/textiles/docs/120423%20IMPRO%20Textiles_Publication
%20draft%20v1.pdf
EcoAct. (2020). Homeworking emission Whitepaper. Retrieved April 2022, from https://info.eco-
act.com/en/homeworking-emissions-whitepaper-2020
EEA. (2019). EMEP/EEA air pollutant emission inventory guidebook 2019. Retrieved from
https://www.eea.europa.eu/publications/emep-eea-guidebook-2019
EEA. (2021a). Monitoring of CO2 emissions from passenger cars Regulation (EU) 2019/631.
Retrieved February 22, 2021, from https://www.eea.europa.eu/data-and-maps/data/co2-
cars-emission-20
EEA. (2021b). Monitoring of CO2 emissions from vans Regulation 510/2011. Retrieved March
19, 2021, from https://www.eea.europa.eu/data-and-maps/data/vans-16
EMISIA. (2019). COPERT 4. Retrieved April 10, 2019, from
https://www.emisia.com/?s=COPERT+4
Environment Agency. (2010). Waste and Resources Assessment Tool for the Environment
(WRATE). Retrieved from
https://webarchive.nationalarchives.gov.uk/20140328085153/http://www2.environment-
agency.gov.uk/research/commercial/102922.aspx
Environment Agency. (2020). Climate Change Agreements. Retrieved from
https://www.gov.uk/guidance/climate-change-agreements--2
EUROCONTROL. (2019). Small emitters tool. Retrieved from Eurocontrol:
https://www.eurocontrol.int/small-emitters-tool
European Commission. (2019). 2011/877/EU: Commission Implementing Decision of 19
December 2011establishing harmonised efficiency reference values for separate
production of electricity and heat in application of Directive 2004/8/EC of the European
Parliament and of the Council and re. (E. Commission, Producer) Retrieved April 10,
2019, from EUR-Lex: https://eur-lex.europa.eu/legal-
content/EN/TXT/?uri=CELEX:32011D0877
EV Database. (2022). https://ev-database.uk/. Retrieved from https://ev-database.uk/
Exergia et al. (2015). Study on actual GHG data for diesel, petrol, kerosene and natural gas. A
study by Exergia, E3 Modelling and COWI for the European Commission, DG ENER.
Retrieved from
https://ec.europa.eu/energy/sites/ener/files/documents/Study%20on%20Actual%20GHG
%20Data%20Oil%20Gas_Project%20Interim%20Report.pdf
Forest Research. (2016). Carbon emissions of different fuels. Retrieved from
http://www.forestry.gov.uk/fr/beeh-abslby
Forest Research. (2016a). Biomass Environmental Assessment Tool, BEAT2. Retrieved from
Forest Research: https://www.forestry.gov.uk/fr/beeh-9uynmd
Forest Research. (2023). Carbon emissions of different fuels. Retrieved 2023, from
https://www.forestresearch.gov.uk/tools-and-resources/fthr/biomass-energy-
resources/reference-biomass/facts-figures/carbon-emissions-of-different-fuels/
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
132
Green Car Guide. (2022). https://www.greencarguide.co.uk/. Retrieved from
https://www.greencarguide.co.uk/
Greenhouse Gas Protocol. (2011). Corporate value chain (Scope 3) accounting and reporting
standard. World Resources Institute and World Business Council for Sustainable
Development.
Hamade, R. A. (2020). Life Cycle Analysis of AA Alkaline Batteries. Procedia Manufacturing, 43,
41522.
IATA. (2018). January Passenger Demand Growth Slows on Temporary Factors. Retrieved
April 10, 2019, from https://www.iata.org/pressroom/pr/Pages/2018-03-08-01.aspx
ICCT. (2017). FROM LABORATORY TO ROAD: A 2017 update of official and 'real-world' fuel
consumption and CO2 values for passenger cars in Europe. International Council for
Clean Transportation. Retrieved April 10, 2019, from
https://www.theicct.org/sites/default/files/publications/Lab-to-road-2017_ICCT-
white%20paper_06112017_vF.pdf
IGD. (2018). UK Food & Grocery Retail Logistics Overview Date. Retrieved from
http://www.igd.com/our-expertise/Supply-chain/Logistics/3457/UK-Food--Grocery-Retail-
Logistics-Overview/
IMO. (2009). PREVENTION OF AIR POLLUTION FROM SHIPS, Second IMO GHG Study
2009, Marine Guidance Note MGN 347 (M), . Retrieved April 10, 2019, from
https://www.gov.uk/government/organisations/maritime-and-coastguard-agency
IPCC. (2007). Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and
III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change.
Geneva, Switzerland . Retrieved from
https://www.ipcc.ch/site/assets/uploads/2018/02/ar4_syr_full_report.pdf
IPCC. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and
III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.
Geneva, Switzerland. Retrieved from
https://www.ipcc.ch/site/assets/uploads/2018/02/SYR_AR5_FINAL_full.pdf
ITP/Greenview. (2021). Hotel Footprinting Tool. Retrieved from https://www.hotelfootprints.org
JEC WTW v4a. (2014). WELL-TO-WHEELS ANALYSIS OF FUTURE AUTOMOTIVE FUELS
AND POWERTRAINS IN THE EUROPEAN CONTEXT. By European Commission, JRC-
EUCAR-CONCAWE. Edwards, R; Larive, J.F; Rickeard, D; Weindorf , W. Retrieved from
https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/well-
tank-report-version-4a-jec-well-wheels-analysis
JEC WTW v5. (2020). JEC Well-to-Tank report v5. Luxembourg: By European Commission,
JRC-EUCAR-CONCAWE. Prussi, M., Yugo, M., De Prada, L., Padella, M., Edwards, R.
and Lonza, L. doi:10.2760/959137
L.E.K. Consulting. (2002). Methodology for settlements with <25k population (Appendix 10.5.1).
Retrieved 2019, from https://webarchive.nationalarchives.gov.uk/20110304135427/
Lee, DS, Fahey, DW, Skowron, A et al. (2021). The contribution of global aviation to
anthropogenic climate forcing for 2000 to 2018. Atmospheric Environment, 244.117834.
ISSN 1352-2310. https://doi.org/10.1016/j.atmosenv.2020.117834.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
133
MCA. (2017). Marine Guidance Note MGN 347 (M). Retrieved from Maritime and Coastguard
Agency: http://www.dft.gov.uk/mca/mcga07-home/shipsandcargoes/mcga-
shipsregsandguidance/marinenotices/mcga-mnotice.htm?textobjid=82A572A99504695B
McKinnon, A. (2007). Synchronised auditing of truck utilisation and energy efficiency: a review
of the British Government's transport KPI programme. In proceedings of the 11th World
conference on transport research. Retrieved from
http://www.greenlogistics.org/SiteResources/77a765d8-b458-4e5f-b9e0-
1827e34f2f1f_Review%20of%20Transport%20KPI%20programme%20(WCTR%202007)
.pdf
National Grid. (2021). National Grid. Retrieved 2019, from
https://www.nationalgridgas.com/data-and-operations/calorific-value-cv
Ofgem. (2015). The UK Solid and Gaseous Biomass Carbon Calculator. Retrieved April 10,
2019, from https://www.ofgem.gov.uk/publications-and-updates/uk-solid-and-gaseous-
biomass-carbon-calculator
Ofgem. (2020). Typical Domestic Consumption values 2020. Retrieved April 2022, from Office
of Gas and Electricity Markets: https://www.ofgem.gov.uk/publications/decision-typical-
domestic-consumption-values-2020
Ofgem. (2021). The UK Bioliqued Carbon Calculator. Retrieved 2022, from
https://www.gov.uk/government/publications/biofuels-carbon-calculator-rtfo
Ofgem. (2021a). Biomass Sustainability Dataset 2019-20. Retrieved 2022, from
https://www.ofgem.gov.uk/publications/biomass-sustainability-dataset-2019-20
ORR. (2020). Official Statistics. Retrieved April 10, 2019, from :
http://dataportal.orr.gov.uk/browsereports/9
ORR. (2021a). Estimates of passenger and freight energy consumption and carbon dioxide
equivalent (CO2e) emissions - Table 2.101 (p). Retrieved 2019, from Office of the Rail
Regulator (ORR): https://dataportal.orr.gov.uk/displayreport/html/html/31212a97-cf7a-
42d5-9fe3-a134b5c08b6a
Ricardo Energy & Environment. (2015). UK Greenhouse Gas Inventory, 1990 to 2013: Annual
Report for Submission under the Framework Convention on Climate Change. MacCarthy
J, Broomfield M, Brown P, Buys G, Cardenas L, Murrells T, Pang Y, Passant N,
Thistlethwaite G, Watterson J. Retrieved from https://uk-
air.defra.gov.uk/assets/documents/reports/cat07/1512091113_ukghgi-90-13_Issue_1.pdf
Ricardo Energy & Environment. (2018). Assessing the impacts of selected options for regulating
CO2 emissions from new passenger cars and vans after 2020. Retrieved from
https://ec.europa.eu/clima/sites/clima/files/transport/vehicles/docs/ldv_post_2020_co2_e
n.pdf
Ricardo Energy & Environment. (2021). UK Greenhouse Gas Inventory, 1990 to 2019: Annual
Report for submission under the Framework Convention on Climate Change. Ricardo
Energy & Environment. Brown P, Cardenas L, Choudrie S, Del Vento S, Karagianni E,
MacCarthy J, Mullen P, Passant N, Richmond B, Smith H, Thistlethwaite G, Thomson A,
Turtle L, Wakeling D. Retrieved from
https://naei.beis.gov.uk/reports/reports?report_id=1015
Ricardo Energy & Environment. (2022). UK Greenhouse Gas Inventory, 1990 to 2020: Annual
Report for Submission under the Framework Convention on Climate Change. Ricardo
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
134
Energy & Environment. Brown P, Cardenas L, Choudrie S, Del Vento S, Karagianni E,
MacCarthy J, Mullen P, Passant N, Richmond B, Thistlethwaite G, Thomson A, Wakeling
D. Retrieved from https://naei.beis.gov.uk/reports/reports?report_id=998
Ricardo Energy & Environment. (2023). UK Greenhouse Gas Inventory, 1990 to 2021: Annual
Report for Submission under the Framework Convention on Climate Change. Ricardo
Energy & Environment. Brown P, Cardenas L, Del Vento S, Karagianni E, MacCarthy J,
Mullen P, Passant N, Richmond B, Thistlethwaite G, Thomson A, Wakeling D, Willis D .
Retrieved from https://naei.beis.gov.uk/reports/index
Ricardo-AEA. (2014). UK Greenhouse Gas Inventory, 1990 to 2012: Annual Report for
Submission under the Framework. Webb N, Broomfield M, Brown P, Buys G, Cardenas
L,. Retrieved from https://uk-
air.defra.gov.uk/assets/documents/reports/cat07/1404251327_1404251304_ukghgi-90-
12_Issue1.pdf
RISE. (2019). The carbon footprint of carton packaging 2019. Zurich: Pro Carton. Retrieved
from https://www.procarton.com/wp-content/uploads/2020/03/Carbon-Footprint-Report-
2019.pdf
RTE. (2022). French Electricity Factor. Retrieved 2020, from https://www.rte-
france.com/fr/eco2mix/eco2mix-telechargement
Sausen , R., Isaksen, I., Grewe, V., Hauglustaine, D., Lee, D., Myhre, G., . . . Zerofos, C.
(2005). Aviation radiative forcing in 2000: An update on IPCC (1999). Meteorologische
Zeitschrift, 14(4), 555-561.
SEAI. (2023). Irish Electricity Factor. Retrieved March 26, 2020, from https://www.seai.ie/data-
and-insights/seai-statistics/key-statistics/electricity/
SMMT. (2019). Web site Homepage. Retrieved April 10, 2019, from https://www.smmt.co.uk/
Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Avery, M. Tignor and H.L. Miller.
(2007). Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change. Cambridge, United Kingdom: Cambridge
University Press,. Retrieved from
https://www.ipcc.ch/site/assets/uploads/2018/05/ar4_wg1_full_report-1.pdf
Tassou, S.A., et al. (2009). Food transport refrigeration - Approaches to reduce energy
consumption and environmental impacts of road transport. Applied Thermal Engineering,
29(8-9), 1467-1477.
TU Graz. (2011). Reduction and testing of Greenhouse Gas Emissions from Heavy Duty
Vehicles - LOT 2; Development and testing of certification procedure CO2 and fuel
consumption of HDV. A report by TU Graz, TNO, VTT, AVL, LAT and TUV Nord for the
European Commission, DG Climate Action. Retrieved from
https://ec.europa.eu/clima/sites/clima/files/transport/vehicles/heavy/docs/hdv_2011_01_0
9_en.pdf
University of Westminster. (2008). Using official data sources to analyse the light goods vehicle
fleet and operations in Britain. Green Logistics Report, Transport Studies Group,
University of Westminster. Allen, J; Browne, M. Retrieved from
https://westminsterresearch.westminster.ac.uk/item/91113/using-official-data-sources-to-
analyse-the-light-goods-vehicle-fleet-and-operations-in-britain
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
135
VDA. (2014). Facts and Arguments about Fuel Consumption. Retrieved April 10, 2019, from
www.vda.de/dam/vda/publications/2014/facts-and-arguments-about-fuel-
consumption.pdf
WRAP. (2009). Wood Waste Market in the UK. Retrieved April 10, 2019, from
http://www.wrap.org.uk/sites/files/wrap/Wood%20waste%20market%20in%20the%20UK.
pdf
WRAP. (2010). Environmental benefits of recycling - 2010 update. Retrieved April 10, 2019,
from
http://www.wrap.org.uk/sites/files/wrap/Executive_summary_Environmental_benefits_of_
recycling_-_2010_update.d1af1398.8671.pdf
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
136
Appendix 1. Additional Methodological
Information on the Material
Consumption/Use and Waste Disposal
Factors
This section explains the methodology for the choice of data used in the calculation of carbon
emissions used in the “Material use” and “Waste disposal” worksheets. Section 1.1 details the
indicators used to assess whether data met the data quality standards required for this project.
Section 1.2 states the sources used to collect data. Finally, Section 1.3 explains and justifies the
use of data which did not meet the data quality requirements.
1.1 Data Quality Requirements
Data used in this methodology should, so far as is possible, meet the data quality indicators
described in Table 1.1 below.
Table 1.1: Data Quality Indications for the waste management GHG factors
Data Quality
Indicator
Requirement Comments
Time-related
coverage
Data less than 5
years’ old
Ideally, data should be less than five years old.
However, the secondary data in material eco-profiles
is only periodically updated. In cases where no reliable
data is available from within the five-
year period, the
most recent data available have been used.
In cases where use of data over five years old creates
specific issues, these are discussed below under “Use
of data below the set quality standard”. All data over
five years old has been marked in the references with
an asterisk within the 2.0 Data Sources section.
Geographical
coverage
Data
should be
representative of the
products placed on
the market in the UK
Many datasets reflect European average production.
Technology
coverage
Average technology
A range of information is available, covering best in
class, average and pending technology.
Average is
considered the most appropriate but may not reflect
individual supply chain organisations.
Precision/
variance
No requirement
Many datasets used provide average data with no
information on the range. It is therefore not possible to
identify the variance.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
137
Data Quality
Indicator
Requirement Comments
Completeness
All datasets must be
reviewed to ensure
they cover inputs and
outputs pertaining to
the life cycle stage
Representative-
ness
The data should
represent UK
conditions
This is determined by reference to the above data
quality indicators.
Consistency The methodology has
been applied
consistently.
Reproducibility
An independent
practitioner should be
able to follow the
method and arrive at
the same results.
Sources of data
Data will be derived
from credible sources
and databases
Where possible data in public domain will be used. All
data sources referenced.
Uncertainty of
the information
Many data sources come from single sources.
Uncertainty will arise from assumptions made and the
setting of the system boundaries.
1.2 Data Sources
Data has been taken from a combination of trade associations, who provide average
information at a UK or European level, data from the Ecoinvent database and reports/data from
third parties (e.g. academic journals, Intergovernmental Panel on Climate Change). Data on
wood and many products are taken from published life cycle assessments as no trade
association eco-profile is available. Data sources for transport are referenced in Section 12.
Data on waste management options has been modelled using Ecoinvent data and WRATE.
Some data sources used do not meet the quality criteria. The implications of this are discussed
in the following section.
1.3 Use of data below the set quality standard
Every effort has been made to obtain relevant and complete data for this project. For the
majority of materials and products data which fits the quality standards defined in Section 1.1
above are met. However, it has not always been possible to find data which meets these
standards in a field which is still striving to meet the increasing data demands set by science
and government. This section details data which do not meet the expected quality standard set
out in the methodology of this project but were never-the-less included because they represent
the best current figures available. The justification for inclusion of each dataset is explained.
The most common data quality issues encountered concerned data age and availability.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
138
Wood and Paper data
Data on different types of wood has been used in combination with information on the
composition of wood waste in the UK (WRAP, 2009) to provide a figure which represents a best
estimate of the impact of a typical tonne of wood waste.
Many trade associations publish data on the impact of manufacturing 100% primary and 100%
recycled materials. However, the bodies representing paper only produce industry average
profile data, based on a particular recycling rate.
Furthermore, paper recycling in particular is dependent on Asian export markets, for which
information on environmental impacts of recycling or primary production is rare. This means that
the relative impact of producing paper from virgin and recycled materials is difficult to identify.
The figure for material consumption for paper represents average production, rather than 100%
primary material, so already accounts for the impact of recycling. Caution should therefore be
taken in using these numbers.
Excluded Materials and Products
For some materials and products, such as automotive batteries and fluorescent tubes, no
suitable figures have been identified to date.
Table 1.2 Data Sources
Material
Reference
Material Consumption
Waste
Disposal
Aluminium
cans and foil
European Aluminium Association (2018) Environmental Profile Report for the
European Aluminium Industry
CE Delft (2007) Environmental Indices for the Dutch Packaging Tax
2023 GHG Conversion factors
Swiss Centre for Life Cycle Inventories (2014) Ecoinvent v3.0
Environment Agency (2010) Waste and Resources Assessment Tool for the
Environment (WRATE) Wilmshurst, N. Anderson, P. and Wright, D. (2006)
WRT142 Final Report Evaluating the Costs of ‘Waste to Value’ Management
Steel Cans
World Steel Association (2019) Lifecycle Inventory Data for Steel Products
2023 GHG Conversion factors
Swiss Packaging Institute (1997) BUWAL
Environment Agency (2010) Waste and Resources Assessment Tool for the
Environment (WRATE)
Mixed Cans
Estimate based on aluminium and steel data, combined with data returns from
Courtauld Commitment retailers (confidential, unpublished)
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
139
Glass
Ecoinvent (2020) Packaging glass production, white
Ecoinvent (2020) Packaging glass production, green
Ecoinvent (2020) Packaging glass production, brown
Ecoinvent (2020) Packaging glass production, white, without cullet
Ecoinvent (2020) Packaging glass production, green, without cullet
Ecoinvent (2020) Packaging glass production, brown, without cullet
Ecoinvent (2020) Market for glass cullet, sorted
Ecoinvent (2020) Market for packaging glass, white
Ecoinvent (2020) Market for packaging glass, green
Glass raw material emissions for virgin glass are based on “without cullet” data,
while emissions for recycled material are based on solving for emissions based
on Packaging Glass production and production without cullet, accounting for the
proportion of virgin and secondary material in the Packaging glass production
inventories. Glass forming emissions are derived by comparison of Glass
Packaging production emissions with Market emissions.
Wood
Pöyry Forest Industry Consulting Ltd and Oxford Economics Ltd (2009) Wood
Waste Market in UK
2023 GHG Conversion factors
Environment Agency (2010) Waste and Resources Assessment Tool for the
Environment (WRATE)
Wilson, J. (2010) Life-
cycle inventory of particleboard in terms of resources,
emissions, energy and carbon
Ecoinvent v2, sawn timber, softwood, raw, air dried, u=20%, at plant/m3/RER
Ecoinvent v2, Particle board, P2 (Standard FPY), production mix, at plant, 7,8%
water content
Ecoinvent v2, plywood, outdoor use, at plant/m3/RER
Ecoinvent v2, medium density fibreboard, at plant/m3/RER
Ecoinvent v2, oriented strand board, at plant/m3/RER
Aggregates
WRAP (2008) Lifecycle Assessment of Aggregates
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
140
Paper and
board
2023 GHG Conversion factors
FEFCO (2018) European database for Corrugated Board Life Cycle Studies
DEFRA (2012) Streamlined LCA of Paper Supply Systems
Swiss Centre for Life Cycle Inventories (2014) Ecoinvent v3.0
CEPI (2008) Key Statistics 2007 European Pulp and Paper Industry
Environment Agency (2010) Waste and Resources Assessment Tool for the
Environment (WRATE)
WRAP (2020) Compositional analysis of Local Authority collected and non-Local
Authority collected non-household municipal waste (England)
Research Institutes of Sweden (RISE) (2019) The carbon footprint of carton
packaging 2019
CPI (2019) The economic value of the UK paper-based industries 2019
Books
Estimate based on paper
Scrap Metal
British Metals Recycling Association (website
40
)
Ecoinvent (2020) copper production, cathode, solvent extraction and
electrowinning process
Giurco, D., Stewart, M., Suljada, T., and Petrie, J., (2006) Copper Recycling
Alternatives: An Environmental Analysis
Electrical
goods
Ecoinvent (2020) market for computer, desktop, without screen
Ecoinvent (2020) market for computer, laptop
Ecoinvent (2020) market for dishwasher
Ecoinvent (2020) market for dryer
Ecoinvent (2020) market for electric kettle
Ecoinvent (2020) market for hair dryer
Ecoinvent (2020) market for microwave oven production
Ecoinvent (2020) market for printer, laser, colour
Ecoinvent (2020) market for refrigerator
Ecoinvent (2020) battery cell production, Li-ion
Ecoinvent (2020) battery production, NiMH, rechargeable, prismatic
Hamade R., Al Ayache, R., Bou Ghanem, M. and Ammouri, A. (2020) “Life
Cycle Analysis of AA Alkaline Batteries”, Procedia Manufacturing, 4: 41522
40
http://www.recyclemetals.org/about_metal_recycling. No longer online.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
141
Food and
Drink
Tassou, S, Hadawey, A, Ge, Y and Marriot, D (2008) FO405 Greenhouse Gas
Impacts of Food Retailing
DEFRA and ONS (2009) Family food and expenditure survey
DECC (2013) Energy consumption in the UK
Compost
(food and
garden)
Boldrin, A., Hartling, K., Laugen, M. and Christensen, T (2010) Environmental
inventory modelling of the use of compost and peat in growth media
preparation
Plastics
Plastics Europe (2014) Ecoprofiles
WRAP (2008) LCA of Mixed Waste Plastic Recovery Options
WRAP (2006) A review of supplies for recycling, global market demand, future
trends and associated risks
PriceWaterhouseCoopers & Ecobilan (2002) Life Cycle Assessment of
Expanded Polystyrene Packaging. Case Study: Packaging system for TV sets
DEFRA / BEIS (2017) Company GHG Reporting Guidelines
Environment Agency (2010) Waste and Resources Assessment Tool for the
Environment (WRATE)Ecoinvent (2013) Plastics Processing options
HDPE, LDPE
and LLDPE
Plastics Europe (2014) Eco-profiles and Environmental Product Declarations of
the European Plastics Manufacturers High-density Polyethylene (HDPE), Low-
density Polyethylene (LDPE), Linear Low-density Polyethylene (LLDPE)
Plastics Europe, Brussels
PP (excel
forming)
Plastics Europe (2014) Eco-profiles and Environmental Product Declarations of
the European Plastics Manufacturers Polypropylene (PP). Plastics Europe,
Brussels
PVC (excel
forming)
Boustead (2006) Eco-profiles of the European Plastics Industry Polyvinyl
Chloride (PVC) (Suspension). Plastics Europe, Brussels
PS (excel
forming)
Plastics Europe (2015) Eco-profiles and Environmental Product Declarations of
the European Plastics Manufacturers Polystyrene (High Impact) (HIPS). Plastics
Europe, Brussels
PET (excel
forming)
Plastics Europe (2010) Eco-profiles and Environmental Product Declarations of
the European Plastics Manufacturers Polyethylene Terephthalate (PET).
Plastics Europe, Brussels
Average
plastic film
(inch bags)
Based on split in AMA Research (2009) Plastics Recycling Market UK 2009-
2013, UK; Cheltenham
Average
plastic rigid
(inch bottles)
Clothing
BIO IS (2009) Environmental Improvement Potentials of Textiles (IMPRO-
Textiles), EU Joint Research Commission
Mineral Oil
IFEU (2005) Ecological and energetic assessment of re-refining used oils to
base oils: Substitution of primarily produced base oils including semi-synthetic
and synthetic compounds; GEIR
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
142
Plasterboard
WRAP (2008) Life Cycle Assessment of Plasterboard, prepared by ERM;
WRAP; Banbury
Concrete
Hammond, G.P. and Jones (2008) Embodied Energy and Carbon in
Construction Materials Prc Instn Civil Eng, WRAP (2008) Life Cycle Assessment
of Aggregates
WRAP (2008) LCA of Aggregates
Bricks
Environment Agency (2011) Carbon Calculator
USEPA (2003) Background Document for Life-
Cycle Greenhouse Gas
Conversion factors for Clay Brick Reuse and Concrete Recycling
Christopher Koroneos, Aris Dompros, Environmental assessment of brick
production in Greece, Building and Environment, Volume 42, Issue 5, May 2007,
Pages 2114-2123
Asphalt
Aggregain (2010) CO
2
calculator
Mineral Products Association (2011) Sustainable Development Report
Asbestos
Swiss Centre for Life Cycle Inventories (2014) Ecoinvent v3.0
Insulation
Hammond, G.P. and Jones (2008) Embodied Energy and Carbon in
Construction Materials Prc Instn Civil Eng
WRAP (2008) Recycling of Mineral Wool Composite Panels into New Raw
Materials
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
143
Greenhouse Gas Conversion factors
Industrial
Designation or
Common
Name
Chemical
Formula
Radiative
Efficiency
(Wm
-2
ppb
-1
)
Lifetime
(years)
Global Warming Potential with 100 year
time horizon (previous estimates for 1
st
IPCC assessment report)
Possible source of emissions
Carbon dioxide CO
2
1.4 x10
-5
Variable 1 Combustion of fossil fuels
Methane CH
4
3.7 x 10
-4
12 28 (23) Decomposition of biodegradable material, enteric
emissions.
Nitrous Oxide N
2
O 3.03 x 10
-3
114 265 (296) N
2
O arises from Stationary Sources, mobile sources,
manure, soil management and agricultural residue
burning, sewage, combustion and bunker fuels
Sulphur
hexafluoride
SF
6
0.52 3200 22,800 (22,200) Leakage from electricity substations, magnesium smelters,
some consumer goods
HFC 134a
(R134a
refrigerant)
CH
2
FCF
3
0.16 14 1,430 (1,300) Substitution of ozone depleting substances, refrigerant
manufacture / leaks, aerosols, transmission and
distribution of electricity.
Dichlorodifluoro-
methane CFC
12 (R12
refrigerant)
CCl
2
F
2
0.32
100 10,900
Difluoromono-
chloromethane
HCFC 22 (R22
refrigerant)
CHClF
2
0.2
12 1,810
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
144
No single lifetime can be determined for carbon dioxide because of the difference in timescales
associated with long and short cycle biogenic carbon. For a calculation of lifetimes and a full list
of greenhouse gases and their global warming potentials please see Table 2.14: Lifetimes,
radiative efficiencies and direct (except for CH
4
) global warming potentials (GWP) relative to
CO
2
(Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Avery, M. Tignor and H.L.
Miller, 2007).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
145
Appendix 2. Updated full time series
Electricity and Heat and Steam Factors
The tables below provide the fully updated and consistent time series data for electricity, heat and
steam emission factors
41
. This is provided for organisations wishing to use fully consistent time
series data for purposes OTHER than for company reporting (e.g. policy analysis).
Table 54: Base electricity generation emissions data most recent datasets for time series
Data
Year
Electricity
Generation
(1)
Total Grid
Losses
(2)
UK electricity generation emissions
(3)
,
ktonne
GWh % CO
2
CH
4
N
2
O
1990 1992 280,236 8.08% 205,808 2.921
1991 1993 283,203 8.27% 202,381 2.743
1992 1994 281,225 7.55% 190,373 2.598
1993 1995 284,352 7.17% 173,949 2.552
1994 1996 289,128 9.57% 169,530 2.679
1995 1997 299,197 9.07% 166,628 2.714
1996 1998 313,072 8.40% 166,527 2.737
1997 1999 311,220 7.79% 154,161 2.632
1998 2000 320,740 8.40% 158,996 2.810
1999 2001 323,871 8.25% 151,175 2.813
2000 2002 331,553 8.38% 163,329 2.971
2001 2003 342,686 8.56% 173,730 3.254
2002 2004 342,339 8.26% 168,322 3.192
2003 2005 354,223 8.47% 180,544 3.397
2004 2006 349,312 8.71% 178,518 3.362
2005 2007 350,778 7.25% 176,738 3.966
2006 2008 349,211 7.21% 185,633 4.044
2007 2009 352,778 7.34% 183,349 4.100
2008 2010 348,876 7.43% 178,613 4.415
2009 2011 338,983 7.86% 157,332 4.309
2010 2012 344,127 7.38% 162,258 4.500
2011 2013 329,792 7.91% 149,441 4.478
41
Heat and Steam factors are updated up to 2019, as no update has been carried out for 2020 (the factors have
been held constant).
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
146
Data
Year
Electricity
Generation
(1)
Total Grid
Losses
(2)
UK electricity generation emissions
(3)
,
ktonne
GWh % CO
2
CH
4
N
2
O
2012 2014 324,823 8.00% 163,563 4.912
2013 2015 318,753 7.57% 151,037 5.268
2014 2016 298,064 8.11% 127,034 6.028
2015 2017 297,520 8.30% 106,919 7.244
2016 2018 296,952 7.80% 84,755 7.420
2017 2019 293,631 8.04% 74,131 7.385
2018 2020 288,990 7.70% 67,679 8.393
2019 2021 281,336 7.84% 60,157 9.279
2020 2022 269,828 8.38% 52,017 9.183
2021 2023 269,343 7.96% 57,803 9.808
Notes:
(1) Based upon calculated total for all electricity generation (GWh supplied) from DUKES (2022) Table 5.5, with a reduction of
the total for autogenerators based on unpublished data from the BEIS DUKES team on the share of this that is actually
exported to the grid (~26% in 2021).
(2) Based upon calculated net grid losses from data in DUKES (BEIS, 2022)Table 5.1.2 (long term trends, only available online).
(3) Emissions from UK centralised power generation (excluding Crown Dependencies and Overseas Territories) listed under
UNFCC reporting category 1A1a and autogeneration - exported to grid (UK Only) listed under UNFCC reporting category
1A2b and 1A2gviii from the UK Greenhouse Gas Inventory for 2021 (Ricardo Energy & Environment, 2023). Also includes
an accounting (estimate) for autogeneration emissions not specifically split out in the UK GHGI, consistent with the inclusion
of the GWh supply for these elements also.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
147
Table 55: Base electricity generation conversion factors (excluding imported electricity) fully consistent time series dataset
Data
Year
Emission Factor, kgCO
2
e / kWh
% Net
Electricity
Imports
For electricity GENERATED
(supplied to the grid)
Due to grid transmission
/distribution LOSSES
For electricity CONSUMED
(includes grid losses)
CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total TOTAL
1990
0.73441
0.00026
0.00397
0.73865
0.06453
0.00002
0.00035
0.06490
0.79894
0.00028
0.00432
0.80355
4.08%
1991
0.71461
0.00024 0.00387 0.71873 0.06442 0.00002 0.00035 0.06480 0.77904 0.00026 0.00422 0.78352
5.48%
1992
0.67694
0.00023 0.00366 0.68084 0.05526 0.00002 0.00030 0.05557 0.73220 0.00025 0.00396 0.73641
5.60%
1993
0.61174
0.00022
0.00308
0.61505
0.04724
0.00002
0.00024
0.04750
0.65898
0.00024
0.00332
0.66255
5.55%
1994
0.58635
0.00023 0.00290 0.58948 0.06207 0.00002 0.00031 0.06240 0.64842 0.00026 0.00320 0.65188
5.52%
1995
0.55692
0.00023 0.00269 0.55983 0.05556 0.00002 0.00027 0.05585 0.61248 0.00025 0.00296 0.61568
5.26%
1996
0.53191
0.00022
0.00240
0.53453
0.04880
0.00002
0.00022
0.04904
0.58071
0.00024
0.00262
0.58357
5.08%
1997
0.49534
0.00021
0.00208
0.49763
0.04187
0.00002
0.00018
0.04206
0.53721
0.00023
0.00225
0.53969
5.06%
1998
0.49572
0.00022 0.00207 0.49801 0.04543 0.00002 0.00019 0.04564 0.54115 0.00024 0.00226 0.54365
3.74%
1999
0.46677
0.00022
0.00179
0.46878
0.04198
0.00002
0.00016
0.04216
0.50875
0.00024
0.00195
0.51094
4.21%
2000
0.49262
0.00022
0.00195
0.49480
0.04508
0.00002
0.00018
0.04528
0.53770
0.00024
0.00213
0.54008
4.10%
2001
0.50697
0.00024 0.00210 0.50930 0.04747 0.00002 0.00020 0.04769 0.55443 0.00026 0.00230 0.55699
2.95%
2002
0.49168
0.00023 0.00198 0.49390 0.04424 0.00002 0.00018 0.04444 0.53592 0.00025 0.00216 0.53834
2.40%
2003
0.50969
0.00024
0.00211
0.51204
0.04716
0.00002
0.00020
0.04738
0.55685
0.00026
0.00231
0.55942
0.61%
2004
0.51106
0.00024 0.00206 0.51336 0.04876 0.00002 0.00020 0.04898 0.55982 0.00026 0.00226 0.56234
2.10%
2005
0.50385
0.00028 0.00217 0.50630 0.03936 0.00002 0.00017 0.03955 0.54320 0.00030 0.00234 0.54585
2.32%
2006
0.53158
0.00029
0.00235
0.53421
0.04133
0.00002
0.00018
0.04154
0.57291
0.00031
0.00253
0.57575
2.11%
2007
0.51973
0.00029
0.00217
0.52219
0.04116
0.00002
0.00017
0.04135
0.56088
0.00031
0.00234
0.56354
1.46%
2008
0.51197
0.00032 0.00208 0.51436 0.04110 0.00003 0.00017 0.04129 0.55306 0.00034 0.00224 0.55565
3.06%
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
148
Data
Year
Emission Factor, kgCO
2
e / kWh
% Net
Electricity
Imports
For electricity GENERATED
(supplied to the grid)
Due to grid transmission
/distribution LOSSES
For electricity CONSUMED
(includes grid losses)
CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total TOTAL
2009
0.46413
0.00032
0.00184
0.46629
0.03958
0.00003
0.00016
0.03977
0.50371
0.00034
0.00200
0.50606
0.84%
2010
0.47151
0.00033 0.00190 0.47373 0.03756 0.00003 0.00015 0.03774 0.50907 0.00035 0.00205 0.51147
0.77%
2011
0.45314
0.00034 0.00200 0.45548 0.03892 0.00003 0.00017 0.03912 0.49205 0.00037 0.00218 0.49460
1.85%
2012
0.50355
0.00038
0.00258
0.50650
0.04377
0.00003
0.00022
0.04403
0.54732
0.00041
0.00280
0.55053
3.52%
2013
0.47384
0.00041 0.00250 0.47675 0.03878 0.00003 0.00020 0.03902 0.51262 0.00045 0.00271 0.51577
4.33%
2014
0.42620
0.00051 0.00231 0.42902 0.03764 0.00004 0.00020 0.03789 0.46383 0.00055 0.00252 0.46690
6.44%
2015
0.35937
0.00061
0.00212
0.36209
0.03254
0.00006
0.00019
0.03279
0.39191
0.00066
0.00231
0.39488
6.62%
2016
0.28542
0.00062 0.00146 0.28750 0.02414 0.00005 0.00012 0.02432 0.30956 0.00068 0.00158 0.31182
5.64%
2017
0.25246
0.00063 0.00133 0.25442 0.02208 0.00005 0.00012 0.02225 0.27454 0.00068 0.00144 0.27667
4.79%
2018
0.23419
0.00073 0.00141 0.23632 0.01954 0.00006 0.00012 0.01972 0.25374 0.00079 0.00152 0.25605
6.20%
2019
0.21382
0.00082
0.00141
0.21606
0.01818
0.00007
0.00012
0.01837
0.23201
0.00089
0.00153
0.23444
7.00%
2020
0.19278
0.00085 0.00144 0.19507 0.01763 0.00008 0.00013 0.01784 0.21041 0.00093 0.00157 0.21291
6.22%
2021
0.21461
0.00091
0.00154
0.21706
0.01856
0.00008
0.00013
0.01877
0.23317
0.00099
0.00168
0.23583
8.36%
Notes: * The updated 2016 (2014 update year) methodology uses data on the contribution of electricity from the different interconnects, hence these figures are based on a weighted
average emission factor of the conversion factors for France, the Netherlands, Ireland, Belgium, and Norway based on the % share supplied.
The dataset above uses the most recent, consistent data sources across the entire time series.
Emission Factor (Electricity CONSUMED) = Emission Factor (Electricity GENERATED) / (1 - %Electricity Total Grid LOSSES)
Emission Factor (Electricity LOSSES) = Emission Factor (Electricity CONSUMED) - Emission Factor (Electricity GENERATED)
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
149
Emission Factor (Electricity CONSUMED) = Emission Factor (Electricity GENERATED) + Emission Factor (Electricity LOSSES)
42
,
42
Slight differences in the CONSUMED figure shown in the table and the figure which can be calculated using the Emission Factor (Electricity GENERATED) +
Emission Factor (Electricity LOSSES) in the table is due to rounding. The CONSUMED figure in the table is considered to be more accurate.
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
150
Table 56: Base electricity generation emissions factors (including imported electricity) fully consistent time series dataset
Data
Year
Emission Factor, kgCO
2
e / kWh
% Net
Electricity
Imports
For electricity GENERATED
(supplied to the grid, plus imports)
Due to grid transmission
/distribution LOSSES
For electricity CONSUMED
(includes grid losses)
CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total TOTAL
1990
0.70908
0.00025
0.00384
0.71317
0.0623
0.00002
0.00034
0.06266
0.77138
0.00027
0.00418
0.77583
4.08%
1991
0.68248 0.00023 0.0037 0.68641 0.06153 0.00002 0.00033 0.06188 0.74401 0.00025
0.00403
0.74829
5.48%
1992
0.64468 0.00022 0.00349 0.64839 0.05262 0.00002 0.00028 0.05292 0.69730 0.00024
0.00377
0.70131
5.60%
1993
0.58156
0.00021
0.00293
0.5847
0.04491
0.00002
0.00023
0.04516
0.62647
0.00023
0.00316
0.62986
5.55%
1994
0.5578 0.00022 0.00276 0.56078 0.05905 0.00002 0.00029 0.05936 0.61685 0.00024
0.00305
0.62014
5.52%
1995
0.53174 0.00022 0.00257 0.53453 0.05305 0.00002 0.00026 0.05333 0.58479 0.00024
0.00283
0.58786
5.26%
1996
0.50906
0.00021
0.00229
0.51156
0.0467
0.00002
0.00021
0.04693
0.55576
0.00023
0.00250
0.55849
5.08%
1997
0.47412
0.0002
0.00199
0.47631
0.04007
0.00002
0.00017
0.04026
0.51419
0.00022
0.00216
0.51657
5.06%
1998
0.4811 0.00021 0.00201 0.48332 0.04409 0.00002 0.00018 0.04429 0.52519 0.00023
0.00219
0.52761
3.74%
1999
0.45092
0.00021
0.00173
0.45286
0.04055
0.00002
0.00016
0.04073
0.49147
0.00023
0.00189
0.49359
4.21%
2000
0.47575
0.00022
0.00189
0.47786
0.04354
0.00002
0.00017
0.04373
0.51929
0.00024
0.00206
0.52159
4.10%
2001
0.49402 0.00023 0.00205 0.4963 0.04626 0.00002 0.00019 0.04647 0.54028 0.00025
0.00224
0.54277
2.95%
2002
0.48159 0.00023 0.00194 0.48376 0.04333 0.00002 0.00017 0.04352 0.52492 0.00025
0.00211
0.52728
2.40%
2003
0.50711
0.00024
0.0021
0.50945
0.04692
0.00002
0.00019
0.04713
0.55403
0.00026
0.00229
0.55658
0.61%
2004
0.50185 0.00024 0.00203 0.50412 0.04788 0.00002 0.00019 0.04809 0.54973 0.00026
0.00222
0.55221
2.10%
2005
0.49414 0.00028 0.00213 0.49655 0.0386 0.00002 0.00017 0.03879 0.53274 0.00030
0.00230
0.53534
2.32%
2006
0.52201
0.00028
0.00231
0.5246
0.04059
0.00002
0.00018
0.04079
0.56260
0.00030
0.00249
0.56539
2.11%
2007
0.51334
0.00029
0.00214
0.51577
0.04065
0.00002
0.00017
0.04084
0.55399
0.00031
0.00231
0.55661
1.46%
2008
0.49867 0.00031 0.00202 0.501 0.04003 0.00002 0.00016 0.04021 0.53870 0.00033
0.00218
0.54121
3.06%
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
151
Data
Year
Emission Factor, kgCO
2
e / kWh
% Net
Electricity
Imports
For electricity GENERATED
(supplied to the grid, plus imports)
Due to grid transmission
/distribution LOSSES
For electricity CONSUMED
(includes grid losses)
CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total CO
2
CH
4
N
2
O Total TOTAL
2009
0.46095
0.00032
0.00183
0.4631
0.03931
0.00003
0.00016
0.0395
0.50026
0.00035
0.00199
0.50260
0.84%
2010
0.46854 0.00032 0.00188 0.47074 0.03732 0.00003 0.00015 0.0375 0.50586 0.00035
0.00203
0.50824
0.77%
2011
0.44789 0.00034 0.00198 0.45021 0.03847 0.00003 0.00017 0.03867 0.48636 0.00037
0.00215
0.48888
1.85%
2012
0.49488
0.00037
0.00254
0.49779
0.04302
0.00003
0.00022
0.04327
0.53790
0.00040
0.00276
0.54106
3.52%
2013
0.46303 0.0004 0.00244 0.46587 0.0379 0.00003 0.0002 0.03813 0.50093 0.00043
0.00264
0.50400
4.33%
2014
0.41173 0.00049 0.00224 0.41446 0.03636 0.00004 0.0002 0.0366 0.44809 0.00053
0.00244
0.45106
6.44%
2015
0.35045
0.00059
0.00206
0.3531
0.03173
0.00005
0.00019
0.03197
0.38218
0.00064
0.00225
0.38507
6.62%
2016
0.28385 0.00062 0.00145 0.28592 0.02401 0.00005 0.00012 0.02418 0.30786 0.00067
0.00157
0.31010
5.64%
2017
0.25290 0.00063 0.00133 0.25486 0.02212 0.00006 0.00012 0.0223 0.27502 0.00069
0.00145
0.27716
4.79%
2018
0.22995 0.00071 0.00138 0.23204 0.01919 0.00006 0.00012 0.01937 0.24914 0.00077
0.00150
0.25141
6.20%
2019
0.20966
0.00081
0.00138
0.21185
0.01783
0.00007
0.00012
0.01802
0.22749
0.00088
0.00150
0.22987
7.00%
2020
0.18898 0.00083 0.00141 0.19122 0.01729 0.00008 0.00013 0.0175 0.20627 0.00091
0.00154
0.20872
6.22%
Notes: * The updated 2016 methodology uses data on the contribution of electricity from the different interconnects, hence these figures are based on a weighted average emission
factor of the conversion factors for France, the Netherlands, Ireland, Belgium, and Norway, based on the % share supplied.
The dataset above uses the most recent, consistent data sources across the entire time series.
Emission Factor (Electricity CONSUMED) = Emission Factor (Electricity GENERATED) / (1 - %Electricity Total Grid LOSSES)
Emission Factor (Electricity LOSSES) = Emission Factor (Electricity CONSUMED) - Emission Factor (Electricity GENERATED)
Emission Factor (Electricity CONSUMED) = Emission Factor (Electricity GENERATED) + Emission Factor (Electricity LOSSES
2023 Government greenhouse gas conversion factors for company reporting: Methodology paper
152
Table 57: Fully consistent time series for the heat/steam and supplied power carbon
factors as calculated using DUKES method
Data
Year
kgCO
2
/kWh supplied
heat/steam
kgCO
2
/kWh supplied power
Method 1 (DUKES: 2/3rd -
1/3rd)
Method 1 (DUKES: 2/3rd -
1/3rd)
2001 0.238 0.465
2002 0.230 0.449
2003 0.234 0.454
2004 0.228 0.440
2005 0.221 0.426
2006 0.231 0.442
2007 0.231 0.444
2008 0.224 0.433
2009 0.222 0.426
2010 0.219 0.419
2011 0.215 0.472
2012 0.205 0.385
2013 0.208 0.391
2014 0.202 0.384
2015 0.196 0.378
2016 0.186 0.366
2017 0.174 0.346
2018 0.170 0.339
2019 0.171 0.330
2020 0.176 0.335
2021 0.178 0.339
This publication is available from: www.gov.uk/government/publications/greenhouse-gas-
reporting-conversion-factors-2023
If you need a version of this document in a more accessible format, please email
Greenhousegas.statistics@beis.gov.uk. Please tell us what format you need. It will help us if
you say what assistive technology you use.