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
Grid Planning and Analysis Center. (2024). Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data [data set]. Retrieved from 63278610-3a15-4bf1-8e49-dcb5f00cf4c5.
Gagnon, . Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data. United States: N.p., 15 Feb, 2024. Web. 63278610-3a15-4bf1-8e49-dcb5f00cf4c5.
Gagnon, . Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data. United States. 63278610-3a15-4bf1-8e49-dcb5f00cf4c5
Gagnon, . 2024. "Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data". United States. 63278610-3a15-4bf1-8e49-dcb5f00cf4c5.
@div{oedi_6422, 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. }, doi = {}, url = {63278610-3a15-4bf1-8e49-dcb5f00cf4c5}, journal = {}, number = , volume = , place = {United States}, year = {2024}, month = {02}}
Details
Data from Feb 15, 2024
Last updated Dec 18, 2024
Submitted Feb 15, 2024
Organization
Grid Planning and Analysis Center
Contact
Pieter Gagnon
Authors
Original Source
63278610-3a15-4bf1-8e49-dcb5f00cf4c5Research Areas
Keywords
ReEDS, Cambium, projection, Long-run, greenhouse gas emissionsDOE Project Details
Project Name Cambium
Project Number 2.4.0.1