DEISO database
DEISO GHG Database
Scope 1, 2 and 3 emission factors in Excel and openLCA formats
An emission-factor database built by DEISO for corporate greenhouse gas inventories under the GHG Protocol. DEISO uses it in its own GHG accounting projects and in capacity building (training).
openLCA is a trademark of GreenDelta GmbH. Microsoft and Excel are trademarks of Microsoft Corporation. DEISO is not affiliated with or endorsed by either company.
A GHG database built and maintained by DEISO
DEISO develops its own data. The DEISO GHG Database turns public emission factors into a structured, Scope-by-category library that DEISO uses in its projects and training: one activity, one Scope and category, traceable to its source.
From UK DESNZ 2026, US EPA Supply Chain Factors v1.3 and Ember country grid data.
1.1 to 1.4, 2.1 to 2.3 and all 15 Scope 3 categories, each with its own activity folder.
Every factor as an activity, filed by Scope and category with a sortable code.
Worked inventories from Scope 1 only to full Scope 1, 2 and 3, plus empty starting models.
DEISO GWP (IPCC AR6 and AR5, GWP20), TRACI 2.1 Global warming and EF 3.1 Climate change.
An Excel workbook and an openLCA 2.x package, built from the same data in one run.
From public sources to a structured library
- GHG Protocol structure — Scope 1, Scope 2 location-based and Scope 3 categories C1 to C15, with biogenic CO2 reported outside of scopes.
- One category per activity — each result lands in the category of the activity chosen, so Scope 3 reporting needs no manual reallocation.
- Per-gas detail — CO2, CH4 and N2O kept separate wherever the source publishes them, so the GWP basis can switch between AR6 and AR5.
- Cross-checked — the same build feeds Excel and openLCA, and both are checked against each other before release.
Every activity reports in its own Scope and category, from 1.1 stationary combustion to C15 investments.
In DEISO projects and capacity building
- GHG accounting projects — Scope 1, 2 and 3 inventories for DEISO clients, modelled company by company in openLCA and checked in Excel.
- Capacity building (training) — 29 worked case studies, from a single boiler house to full inventories with all 15 Scope 3 categories, and 5 templates trainees fill with their own data.
Public data, credited
The database contains public data adapted by DEISO. These data remain under their providers' licences, and their providers do not endorse DEISO's work.
| Provider | Data used | Licence |
|---|---|---|
| UK Department for Energy Security and Net Zero | Greenhouse gas reporting conversion factors 2026 | Open Government Licence v3.0 |
| U.S. Environmental Protection Agency | Supply Chain GHG Emission Factors v1.3; TRACI 2.1 | Public domain |
| Ember | Yearly Electricity Data | CC BY 4.0 |
| European Commission, Joint Research Centre | EF 3.1, Climate change | CC BY 4.0 |
Contains public sector information licensed under the Open Government Licence v3.0. Ember, Yearly Electricity Data, CC BY 4.0, adapted by DEISO. European Commission, Joint Research Centre: EF 3.1, CC BY 4.0, adapted by DEISO.
Results built from average emission factors are screening-level estimates. Where supplier-specific or measured data are available, they give a more accurate picture of an organisation's emissions.
About the DEISO GHG Database
What is the DEISO GHG Database?
The DEISO GHG Database is an emission-factor database developed by DEISO for corporate greenhouse gas inventories under the GHG Protocol Corporate Standard and Scope 3 Standard. It holds 3,871 emission factors across Scope 1, Scope 2 and all 15 Scope 3 categories, organised so that every activity reports in its own Scope and category.
Who developed the DEISO GHG Database?
DEISO LLC developed and maintains the DEISO GHG Database. DEISO built the data pipeline, the Scope and category structure, the DEISO GWP characterisation method, the case studies and the templates, using public emission-factor sources that keep their own licences and attribution.
How does DEISO use the database?
DEISO uses the database in its GHG accounting projects to model Scope 1, 2 and 3 inventories, and in capacity building (training), where participants work through case studies and fill templates with their own activity data to learn corporate carbon accounting step by step.
Which formats does the database come in?
The database exists in two editions built from the same data in one run: an Excel workbook with a factor library, a calculator and case-study sheets, and an openLCA 2.x package with activity processes, case studies, templates and climate impact assessment methods.
Which data sources does it use?
It uses the UK DESNZ greenhouse gas reporting conversion factors 2026, the US EPA Supply Chain GHG Emission Factors v1.3 and Ember country grid data, plus a small set of direct-emission processes built by DEISO. Each source keeps its own licence, and the attribution lines appear with the data.
How does it handle the 15 Scope 3 categories?
Every activity sits in the folder of the Scope 3 category it reports, from C1 purchased goods and services to C15 investments. When the same factor applies in several categories, such as grid electricity in leased assets and franchises, the database offers it in each category so results report category by category.
Which global warming potentials does it use?
The DEISO GWP method reports three indicators: GWP100 based on IPCC AR6, GWP100 based on IPCC AR5 and GWP20 based on IPCC AR6. Carbon dioxide, methane and nitrous oxide are kept as separate flows wherever the source publishes them, so the GWP basis can be switched. TRACI 2.1 Global warming and EF 3.1 Climate change are also included.
What are the case studies and templates?
The database includes 29 worked case studies, grouped from Scope 1 only, Scope 2 only and Scope 1 and 2 to one case per Scope 3 category and five full Scope 1, 2 and 3 inventories. Five templates provide empty starting models with example activities at zero, ready for an organisation's own data.
What are the limits of the results?
Results built from average emission factors are screening-level estimates. Spend-based factors are in 2022 US dollars at purchaser price, and grid factors are country averages. Where supplier-specific or measured data exist, they give a more accurate picture and should replace the average factors.
