Emissions Measurement
Data sources
We use emissions conversion factors from governmental, academic and environmental agency datasets.
For general business operations, these include but are not limited to:
IPCC
UK - Defra
USA - EPA
France - Ademe
Switzerland - Bundesamt für Umwelt (BAFU)
Australian government
New Zealand government
Canadian government
AIB – European electricity intensities
EEA
Ember
Ecoinvent
WRAP
For countries or regions for which there are no average grid emissions factors available, we generate carbon intensities using local fuel mixes. For example, to add an electricity grid factor for UAE, we collected fuel mix data from each provider of electricity to the region, and applied these to intensities from each source fuel to generate an average for the grid.
Sources for Embodied Carbon and Lifecycle Analyses
Multiple peer-reviewed meta-analyses, and for some specific activities and products, single peer-reviewed studies (added to as more studies are published) in environmental and scientific globally recognised publications (downloaded from ResearchGate, to which Emma Littlewood, Strategy Director of Green Element Group, is a contributor) or Science Direct and other sources. These are analysed by Emma Littlewood’s climate analyst team.
Client or supplier-specific LCA studies were requested by our clients and approved by our team
The Australian National Life Cycle Assessment Society AusLCI
Tool for constructing LCAs Ccalc2
ICE construction dataset from Bath University
EEWIOD: where only expenditure data is available and used as a proxy for activity
CDP: supplier-specific self-reported intensities e.g. for hauliers, as agreed upon with our clients
Canadian Raw Materials Database
EcoInvent - ad hoc intensity metrics to supplement other datasets
Methodologies
We use a range of GHG Protocol-approved methodologies to make the jump from business input data to credible emissions measurement. Wherever feasible, we use methodologies that take Primary Business Activity data as an input (e.g Kg, kWh, time spent, km travelled).
Sometimes, this data is simply not available, in which case we will use Secondary Data (e.g. industry average data else expenditure conversion data). Crucially, in any case where we use Secondary Data, we make it clear how exactly we're able to get 'closer to the emissions' in future years.