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University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy

The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Curated

Hourly Dynamic Line Ratings for Existing Transmission Across the Contiguous United States (Preliminary)

This dataset provides estimated hourly dynamic line ratings for ~84,000 transmission lines across the contiguous United States from 2007-2013. The calculation methods are described in the presentation linked below, and the associated open-source Python code repository is linked in...
Obika, K. et al National Renewable Energy Laboratory
Sep 25, 2024
16 Resources
0 Stars
Curated

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

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 ...
Cole, W. et al National Renewable Energy Laboratory (NREL)
Aug 01, 2023
5 Resources
1 Stars
Publicly accessible

Freedom Field Site Data: June 14, 2011

Freedom Field is a not-for-profit organization formed to facilitate development and commercialization of renewable energy solutions. The organization has installed a variety of renewable energy generating technologies at their facility (located at Rock River Water Reclamation in R...
Hallett, K. and Field, F. National Renewable Energy Laboratory
Jul 18, 2011
2 Resources
0 Stars
In curation

Solar PV Structure Setbacks: Ordinances (2022)

This dataset represents solar energy setback requirements from structures based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, T...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
In curation

Solar PV Water Setbacks: Ordinances (2022)

This dataset represents solar energy setback requirements from water based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
In curation

Solar PV Road Setbacks: Ordinances (2022)

This dataset represents solar energy setback requirements from roads based on existing county ordinances as of April 2022. For additional details, refer to Lopez et al. (2023). For citation, please use: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
In curation

NREL GIS Data: Georgia High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Georgia at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of Georgia. _Supplemental Information:_ This data set has been validated by NREL an...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Hawaii High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Hawaii at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of Hawaii. _Supplemental Information:_ This data set has been validated by NREL and ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: South Carolina High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of South Carolina at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of South Carolina. _Supplemental Information:_ This data set has been valida...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: California Wind High Resolution

Abstract: Annual average wind resource potential of California at a 50 meter height.

Purpose: Provide information on the wind resource development potential within California.

Supplemental_Information: This data set was produced by Tru...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Bottom Shear Stress in Lake Erie for Parameterization

2008-2009 bottom currents, turbidity, wind and waves in Lake Erie. The dataset is used for calculating bottom shear stress and evaluating bottom shear stress parameterization methods. Bottom shear stress is the driving force of sediment entrainment. Understanding bottom shear stre...
Lin, S. Uppsala University
Mar 18, 2022
1 Resources
0 Stars
Publicly accessible

Environmental Protection Agency (EPA) Renewable Energy Cost Database

The database is a compilation of existing cost data for wind, solar photovoltaic (solar PV), solar thermal (CSP), and geothermal energy technologies, including historical costs and projected costs for each. The data sources and references used to compile this information are inclu...
Hill, G. and Agency, E. National Renewable Energy Laboratory
Dec 31, 2009
2 Resources
0 Stars
In curation

NREL GIS Data: Texas High Resolution Wind Resource

Annual average wind resource development potential for the state of Texas. This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects. This shapefile is in a UTM zone 19,...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Wisconsin High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for Wisconsin at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential in Wisconsin. _Supplemental Information:_ This data set has been validated by NREL and wind energy meteorologic...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Cost of Renewable Energy Spreadsheet Tool (CREST)

CREST is an economic cash flow model designed to allow policymakers, regulators, and the renewable energy community to assess project economics, design cost-based incentives (e.g., feed-in tariffs), and evaluate the impact of various state and federal support structures. CREST is ...
Lowder, T. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

Solar PV Transmission Setbacks: Ordinances (2022) and Extrapolated Trends

This dataset represents solar energy setback requirements from transmission. A setback requirement is a minimum distance from transmission infrastructure that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are ...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated

Solar PV Oil and Gas Pipeline Setbacks: Ordinances (2022) and Extrapolated Trends

This dataset represents solar energy setback requirements from oil and gas pipelines. A setback requirement is a minimum distance from a pipeline that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are likely t...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated

Solar PV Railroad Setbacks: Ordinances (2022) and Extrapolated Trends

This dataset represents solar energy setback requirements from railroads. A setback requirement is a minimum distance from a railroad that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are likely to arise as r...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated

Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios. Sup3rCC is downscaled ...
Buster, G. et al The National Renewable Energy Lab (NREL)
Apr 19, 2023
7 Resources
1 Stars
Curated

INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements

The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
Publicly accessible

Solar Energy: Bans or Moratoriums (2022)

This dataset identifies counties and municipalities that had a solar energy ban or moratorium as of April 2022. A TIF data file and a PNG map of the data are provided, showing areas where solar energy bans or moratoriums exist across the contiguous United States. For further deta...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated

Energy Generation by State and Technology (2009)

Provides annual energy generation for all states by fuel source (e.g. coal, gas, solar, wind) in 2009, reported in MWh. Also includes facility-level data (directly from EIA Form 923).
Weers, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Offshore Wind Resource

Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW)
Wendy, . and Laboratory, N. Cornell University
Nov 25, 2014
1 Resources
0 Stars
In curation

NREL GIS Data: Arizona High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Arizona at a 50 meter height. This dataset will be replaced when the southwest region has been completed, and the data may change when this region has been completed. _Purpose:_ Provide information on the win...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
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