WRAP

The WRAP Emission Factor Database provides a repository of secondary emission factors for food and drink that organisations can use for scope 3 reporting. It brings together emission factors from many different datasets: HESTIA, Agribalyse, Clune et al. (2017), Global Feed LCA Institute (GFLI) - Life Cycle Impact Assessment data, Frankowska, GLEAM-i, Poore and Nemecek (2018), Centre for Innovation Excellence in Livestock (2020) (Ciel), Hybu Cig Cymru / Meat Promotion Wales (2021), Origin Green (2021) (Bord Bia).

The data are taken from the sheet "emissions_database_full" from the source file. The functional units have been harmonised so that they all relate to final goods purchased (combining all the stages listed below.)

The following life cycle stages are included where the underlying sources provide them: Land Use Change: Land Use Change emissions Feed: Emissions associated with production of feed materials imported onto farm (usually combined with Farm) Farm: Emissions associated with all other on-farm activities (usually combined with Feed) Processing: Emissions associated with product processing (Agribalyse: production) Packaging: Emissions associated with product packaging Transport: Emissions associated with transport up to retail stage.

cradle-to-farm gate covers feed, farm and may also include land-use change. cradle-to-processing gate includes cradle-to-farm gate plus processing.

The full methodology is available here: https://www.wrap.ngo/resources/guide/scope-3-ghg-measurement-and-reporting-protocols-food-and-drink

The source methodology notes:

These emission factors are not recommended or endorsed for use for product labelling. It is also not recommended for use to compare the emissions profile between two suppliers. We would recommend the use of these data when developing screening inventories or similar exercises a means to identify where the largest sources of scope 3 emissions are likely to be for a company and where to focus further efforts in data collection Care should be taken to ensure that the emission factors that are used are as representative as possible – for example of the geographies sourced from, production practices used, etc. Where possible and applicable, we recommend the use of emission factors from the hestia dataset in the first instance, relying on the refined and full datasets only in cases where the required data is unavailable in the hestia dataset.