Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data
Abstract
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.
- Authors:
-
- National Renewable Energy Laboratory; National Renewable Energy Laboratory
- 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:
- 24 POWER TRANSMISSION AND DISTRIBUTION; 29 ENERGY PLANNING, POLICY, AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Cambium; Long-run; ReEDS; greenhouse gas emissions; projection
- OSTI Identifier:
- 2305481
- DOI:
- https://doi.org/10.7799/2305481
Citation Formats
Gagnon, Pieter. Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data. United States: N. p., 2024.
Web. doi:10.7799/2305481.
Gagnon, Pieter. Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data. United States. doi:https://doi.org/10.7799/2305481
Gagnon, Pieter. 2024.
"Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data". United States. doi:https://doi.org/10.7799/2305481. https://www.osti.gov/servlets/purl/2305481. Pub date:Tue Feb 13 23:00:00 EST 2024
@article{osti_2305481,
title = {Long-run Marginal Emission Rates for Electricity - Workbooks for 2023 Cambium Data},
author = {Gagnon, Pieter},
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 = {10.7799/2305481},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 13 23:00:00 EST 2024},
month = {Tue Feb 13 23:00:00 EST 2024}
}
