Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States' electric sector. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how the change could influence both the operation as well as the structure of the grid (i.e., the building and retiring of capital assets, such as generators and transmission lines).

These workbooks provide data for 18 GEA regions covering the contiguous United States. Mappings of these regions to ZIP codes and counties is given in this workbook in the corresponding tabs.

For more data underlying these emissions factors, see the Cambium 2023 project at https://scenarioviewer.nrel.gov/. For more details on input assumptions and methodology see the associated report (Cambium 2023 Scenario Descriptions and Documentation, https://www.nrel.gov/docs/fy24osti/88507.pdf). Users are advised to review section 4 of the report, which discusses limitations and caveats of the data.

This data is planned to be updated annually. Information on the latest versions can be found at https://www.nrel.gov/analysis/cambium.html.
2 Data Resources
Name Size Type Resource Description History
LRMER Workbook - Cambium 2023 16.56 MB Data This workbook contains modeled estimates of long-run marginal emission rates from the Cambium 2023 data set.
GEA region shapefiles 287.95 KB Archive GIS Shapefiles for the Cambium GEA regions, version 2023.
Author Information
Pieter Gagnon, National Renewable Energy Laboratory, ORCID iD: 0000-0002-4006-1719
Cite This Dataset
Gagnon, Pieter. 2024. "Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data." NREL Data Catalog. Golden, CO: National Renewable Energy Laboratory. Last updated: February 16, 2024. DOI: 10.7799/2305481.
About This Dataset
DOE Project
High Performance Computing Center (HPC)
Funding Organization
Department of Energy (DOE)
Research Areas
Energy Analysis
Energy Systems Integration
View License
Digital Object Identifier