U.S. Department of EnergyOffice of Scientific and Technical Information
Long-run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data
Abstract
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.
- Authors:
-
;
- National Renewable Energy Laboratory; National Renewable Energy Laboratory
- Grid Planning and Analysis Center
- Publication Date:
- Other Number(s):
- 2.4.0.1
- Research Org.:
- National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Subject:
- 01 COAL, LIGNITE, AND PEAT; 03 NATURAL GAS; 04 OIL SHALES AND TAR SANDS; 08 HYDROGEN; 13 HYDRO ENERGY; 14 SOLAR ENERGY; 15 GEOTHERMAL ENERGY; 16 TIDAL AND WAVE POWER; 17 WIND ENERGY; 20 FOSSIL-FUELED POWER PLANTS; 24 POWER TRANSMISSION AND DISTRIBUTION; 25 ENERGY STORAGE; 29 ENERGY PLANNING, POLICY, AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 42 ENGINEERING; 54 ENVIRONMENTAL SCIENCES; Cambium; Long run marginal; NREL; ReEDS; electricity; greenhouse gas emissions
- OSTI Identifier:
- 1909373
- DOI:
- https://doi.org/10.7799/1909373
Citation Formats
Gagnon, Pieter, Cowiestoll, Brady, and Schwarz, Marty. Long-run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data. United States: N. p., 2023.
Web. doi:10.7799/1909373.
Gagnon, Pieter, Cowiestoll, Brady, & Schwarz, Marty. Long-run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data. United States. doi:https://doi.org/10.7799/1909373
Gagnon, Pieter, Cowiestoll, Brady, and Schwarz, Marty. 2023.
"Long-run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data". United States. doi:https://doi.org/10.7799/1909373. https://www.osti.gov/servlets/purl/1909373. Pub date:Sun Jan 15 04:00:00 UTC 2023
@article{osti_1909373,
title = {Long-run Marginal Emission Rates for Electricity - Workbooks for 2022 Cambium Data},
author = {Gagnon, Pieter and Cowiestoll, Brady and Schwarz, Marty},
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.},
doi = {10.7799/1909373},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 15 04:00:00 UTC 2023},
month = {Sun Jan 15 04:00:00 UTC 2023}
}