County-Level Hourly Renewable Capacity Factor Dataset for the ReEDS Model

Dataset · Tue Aug 01 04:00:00 EDT 2023

DOI:https://doi.org/10.25984/2282347· OSTI ID:2282347

Cole, Wesley ^[1]; Brown, Maxwell; Sergi, Brian; Carag, Vincent; Serpe, Louisa; Karmakar, Akash; Lopez, Anthony; Williams, Travis; Pinchuk, Paul

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1. National Renewable Energy Laboratory (NREL)

This dataset contains hourly capacity factors for each renewable resource class and region (in this case, county). Technologies like large-scale utility PV (UPV), onshore wind, offshore wind, and concentrating solar power (CSP) are included. The dataset contains 7 years of hourly weather data (2007-2013) for different sites across the US and is used as one of the inputs to the ReEDS-2.0 model (see the "ReEDS 2.0 GitHub Repository" resource link below), developed by NREL. The weather profiles apply to any capacity that exists or is built in each region and class. This helps calculate the generation that can be provided using these resources. Open, reference, and limited are 3 scenarios based on land-use allowance, derived from the Renewable Energy Potential (reV) model developed by NREL, which helps generate supply curves for renewable technologies and assess the maximum potential of renewable resources in a designated area. Each zipped file in this dataset corresponds to a technology and contains the respective land-use scenario files required to run that technology in ReEDS. To use this dataset, download and place the extracted files in the locally cloned ReEDS repository inside one of the folders (inputs/variability/multi_year). After completing this copy, upon running the ReEDS model at the county-level spatial resolution for respective analysis purposes, the program will detect the presence of these files and will not fail.

• Research Organization: DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory (NREL)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)
• Contributing Organization: National Renewable Energy Laboratory (NREL)
• OSTI ID: 2282347
• Report Number(s): 5986
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

Array
Capacity expansion modeling
ReEDS
Regional Energy Deployment System
Utility-scale PV
capacity factor data
computational science
concentrated solar power
county-level
energy
high resolution capacity expansion
hourly weather data
model
offshore wind
onshore wind
power
processed data
renewable
solar
solar power
wind
wind power