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Long-run Marginal CO2 Emission Rates Workbooks for 2020 Standard Scenarios Cambium Data
This dataset has been superseded by a new set of workbooks that can be found here: https://data.nrel.gov/submissions/183 These workbooks contain modeled estimates of long-run marginal CO2 emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the...
Gagnon, . et al National Renewable Energy Laboratory
Aug 12, 2021
12 Resources
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Publicly accessible
12 Resources
0 Stars
Publicly accessible
NREL Price Series Developed for the ARPA-E FLECCS Program
The price data for four regions (CAISO, ERCOT, MISO-W, and PJM-W) are developed using the ReEDS to PLEXOS conversion as described in (Gagnon et al. 2020). The reference ReEDS case chosen is based on the 2020 Standard Scenario Mid-case, which uses the 2020 ReEDS model version (Cole...
Cohen and DurvasuluNational Renewable Energy Laboratory
Dec 23, 2021
2 Resources
0 Stars
Publicly accessible
2 Resources
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Long-Run Marginal Emission Rates for Electricity Workbooks for 2021 Cambium Data
These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. The LRMER is an estimate of the rate of emissions that would be either induced or avoided by a long-term (i.e., more than several years) change in electrical dem...
Gagnon, . et al National Renewable Energy Laboratory
Jan 05, 2022
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Average and Marginal Capacity Credits of Renewable Energy and Battery Storage in the United States Power System
This dataset contains capacity credit values of solar PV, onshore and offshore wind, and 4-hour and 8-hour battery storage at the ReEDS' BA region resolution. The dataset is an output of the 2023 Standard Scenarios, generated using the Regional Energy Deployment System (ReEDS) model.
Pham, . et al Accelerated Deployment and Decision Support Center
Oct 14, 2024
106 Resources
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106 Resources
0 Stars
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ARPA-E Grid Optimization (GO) Competition Challenge 1
The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...
Elbert, S. et al Pacific Northwest National Laboratory
Aug 05, 2024
29 Resources
0 Stars
Publicly accessible
29 Resources
0 Stars
Publicly accessible