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Long-Run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data

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These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. 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). It is therefore distinct from the more-commonly-known short-run marginal, which treat grid assets as fixed. Long-run marginal emissions rates are generally appropriate to use when trying to comprehensively estimate the impact of a long-lived (i.e., more than several years) intervention. There are two workbooks that supply the data at two different geographic resolutions: states and GEA regions (20 regions that are similar to, but not exactly the same as, the US EPA's eGRID regions). For more data underlying these emissions factors, see the Cambium 2022 project at https://scenarioviewer.nrel.gov/. For more details on input assumptions and methodology see the associated report (Cambium 2022 Scenario Descriptions and Documentation, https://www.nrel.gov/docs/fy23osti/84916.pdf). 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. 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). It is therefore distinct from the more-commonly-known short-run marginal, which treat grid assets as fixed. Long-run marginal emissions rates are generally appropriate to use when trying to comprehensively estimate the impact of a long-lived (i.e., more than several years) intervention. There are two workbooks that supply the data at two different geographic resolutions: states and GEA regions (20 regions that are similar to, but not exactly the same as, the US EPA's eGRID regions). For more data underlying these emissions factors, see the Cambium 2022 project at https://scenarioviewer.nrel.gov/. For more details on input assumptions and methodology see the associated report (Cambium 2022 Scenario Descriptions and Documentation, https://www.nrel.gov/docs/fy23osti/84916.pdf). 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 A2 - Cowiestoll A3 - Schwarz DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - KW - Cambium KW - ReEDS KW - Long run marginal KW - greenhouse gas emissions KW - electricity LA - English DA - 2023/01/15 PY - 2023 PB - National Renewable Energy Laboratory T1 - Long-Run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data UR - https://data.openei.org/submissions/8257 ER -
Export Citation to RIS
Gagnon, et al. Long-Run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data. National Renewable Energy Laboratory, 15 January, 2023, NREL. https://data.nrel.gov/submissions/206.
Gagnon, Cowiestoll, & Schwarz. (2023). Long-Run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/206
Gagnon, Cowiestoll, and Schwarz. Long-Run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data. National Renewable Energy Laboratory, January, 15, 2023. Distributed by NREL. https://data.nrel.gov/submissions/206
@misc{OEDI_Dataset_8257, title = {Long-Run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data}, author = {Gagnon and Cowiestoll and Schwarz}, abstractNote = {These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. 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). It is therefore distinct from the more-commonly-known short-run marginal, which treat grid assets as fixed. Long-run marginal emissions rates are generally appropriate to use when trying to comprehensively estimate the impact of a long-lived (i.e., more than several years) intervention.\ There are two workbooks that supply the data at two different geographic resolutions: states and GEA regions (20 regions that are similar to, but not exactly the same as, the US EPA's eGRID regions).\ For more data underlying these emissions factors, see the Cambium 2022 project at https://scenarioviewer.nrel.gov/. For more details on input assumptions and methodology see the associated report (Cambium 2022 Scenario Descriptions and Documentation, https://www.nrel.gov/docs/fy23osti/84916.pdf). 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/206}, year = {2023}, howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/206}, note = {Accessed: 2025-05-03} }

Details

Data from Jan 15, 2023

Last updated Jan 17, 2025

Submitted Jan 15, 2023

Organization

National Renewable Energy Laboratory

Contact

Pieter Gagnon

Authors

Gagnon

National Renewable Energy Laboratory

Cowiestoll

National Renewable Energy Laboratory

Schwarz

National Renewable Energy Laboratory

DOE Project Details

Project Name Cambium

Project Number 2.4.0.1

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