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Title: Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE)

Abstract

This dataset accompanies the report "Potential Availability of and Supply Curves for Low-Cost, Dispatch-Constrained Electricity", which provides initial estimates of the quantity and availability of the potential low-cost, dispatch-constrained electricity (LDE) resource in the United States under scenarios with high variable renewable energy (VRE) penetrations. The analysis also estimates supply curves that can be used in subsequent analysis of the opportunity to use the LDE. The estimated LDE resource could be used for various applications that value low-cost electricity and can operate at reduced capacity factors, including electrolytic hydrogen production and carbon capture. The analysis accompanying this dataset was performed in 2018-2019 to support an analysis of "The Technical and Economic Potential of the H2@Scale Concept within the United States" (https://www.nrel.gov/docs/fy21osti/77610.pdf). This dataset includes the quantity of estimated LDE resource for each hour of the year in 2050, aggregated to both the national level and the ReEDS balancing area level. As described in the accompanying report, the ReEDS model was used to project the evolution of the power sector over time. Links to the mapping of ReEDS balancing areas to states and ReEDS balancing area shape files are provided. This dataset also includes the report figure data.

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo
  1. Energy Systems Integration; National Renewable Energy Laboratory
  2. Center for Integrated Mobility Sciences
  3. Grid Planning and Analysis Center
Publication Date:
Other Number(s):
FY19 AOP 5.3.0.7
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:
08 HYDROGEN; 25 ENERGY STORAGE; 29 ENERGY PLANNING, POLICY, AND ECONOMY; 42 ENGINEERING; curtailment; electricity; electricity use; h2@scale; hydrogen analysis
OSTI Identifier:
1957644
DOI:
https://doi.org/10.7799/1957644

Citation Formats

Ruth, Mark, Jadun, Paige, and Cole, Wesley. Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE). United States: N. p., 2023. Web. doi:10.7799/1957644.
Ruth, Mark, Jadun, Paige, & Cole, Wesley. Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE). United States. doi:https://doi.org/10.7799/1957644
Ruth, Mark, Jadun, Paige, and Cole, Wesley. 2023. "Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE)". United States. doi:https://doi.org/10.7799/1957644. https://www.osti.gov/servlets/purl/1957644. Pub date:Sun Feb 19 23:00:00 EST 2023
@article{osti_1957644,
title = {Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE)},
author = {Ruth, Mark and Jadun, Paige and Cole, Wesley},
abstractNote = {This dataset accompanies the report "Potential Availability of and Supply Curves for Low-Cost, Dispatch-Constrained Electricity", which provides initial estimates of the quantity and availability of the potential low-cost, dispatch-constrained electricity (LDE) resource in the United States under scenarios with high variable renewable energy (VRE) penetrations. The analysis also estimates supply curves that can be used in subsequent analysis of the opportunity to use the LDE. The estimated LDE resource could be used for various applications that value low-cost electricity and can operate at reduced capacity factors, including electrolytic hydrogen production and carbon capture. The analysis accompanying this dataset was performed in 2018-2019 to support an analysis of "The Technical and Economic Potential of the H2@Scale Concept within the United States" (https://www.nrel.gov/docs/fy21osti/77610.pdf). This dataset includes the quantity of estimated LDE resource for each hour of the year in 2050, aggregated to both the national level and the ReEDS balancing area level. As described in the accompanying report, the ReEDS model was used to project the evolution of the power sector over time. Links to the mapping of ReEDS balancing areas to states and ReEDS balancing area shape files are provided. This dataset also includes the report figure data.},
doi = {10.7799/1957644},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Feb 19 23:00:00 EST 2023},
month = {Sun Feb 19 23:00:00 EST 2023}
}