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.
Citation Formats
TY - DATA
AB - 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.
AU - Gagnon
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - ReEDS
KW - Cambium
KW - projection
KW - Long-run
KW - greenhouse gas emissions
LA - English
DA - 2024/02/15
PY - 2024
PB - National Renewable Energy Laboratory
T1 - Long-Run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data
UR - https://data.openei.org/submissions/8279
ER -
Gagnon. Long-Run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data. National Renewable Energy Laboratory, 15 February, 2024, NREL. https://data.nrel.gov/submissions/230.
Gagnon. (2024). Long-Run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/230
Gagnon. Long-Run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data. National Renewable Energy Laboratory, February, 15, 2024. Distributed by NREL. https://data.nrel.gov/submissions/230
@misc{OEDI_Dataset_8279,
title = {Long-Run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data},
author = {Gagnon},
abstractNote = {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.},
url = {https://data.nrel.gov/submissions/230},
year = {2024},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/230},
note = {Accessed: 2025-05-04}
}
Details
Data from Feb 15, 2024
Last updated Jan 16, 2025
Submitted Feb 15, 2024
Organization
National Renewable Energy Laboratory
Contact
Pieter Gagnon
Authors
Original Source
https://data.nrel.gov/submissions/230Research Areas
Keywords
ReEDS, Cambium, projection, Long-run, greenhouse gas emissionsDOE Project Details
Project Name Cambium
Project Number 2.4.0.1