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United States Renewable Energy Technical Potential
Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints.
The primary benefit of assessing technical potential...
Lopez, A. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
Rooftop Photovoltaic Technical Potential in the United States
This data submission contains a workbook with data, and three sets of shapefiles that correspond to that data. Contact: Meghan Mooney, Meghan.Mooney@nrel.gov The workbook contains data that underlies the 2016 technical report Rooftop Solar Photovoltaic Technical Potentia...
Gagnon. . et al National Renewable Energy Laboratory
Nov 05, 2019
5 Resources
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Publicly accessible
5 Resources
0 Stars
Publicly accessible
Rooftop Energy Potential of Low Income Communities in America REPLICA
The Rooftop Energy Potential of Low Income Communities in America REPLICA data set provides estimates of residential rooftop solar technical potential at the tract-level with emphasis on estimates for Low and Moderate Income LMI populations. In addition to technical potential REPL...
Mooney and SigrinNational Renewable Energy Laboratory
Apr 03, 2018
27 Resources
0 Stars
Publicly accessible
27 Resources
0 Stars
Publicly accessible
PR100: Puerto Rico Grid Resilience and Transition to 100% Renewable Energy
The Puerto Rico Grid Resilience and Transitions to 100% Renewable Energy Study (PR100) comprehensively analyzes possible pathways for Puerto Rico to achieve its renewable energy goals while incorporating stakeholder perspectives and advancing energy resilience for all Puerto Rican...
Sky, H. et al National Renewable Energy Laboratory (NREL)
Jul 01, 2022
17 Resources
1 Stars
Publicly accessible
17 Resources
1 Stars
Publicly accessible
Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value for 2012-2020
Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...
Seel, J. et al Lawrence Berkeley National Lab
Oct 01, 2021
4 Resources
1 Stars
Publicly accessible
4 Resources
1 Stars
Publicly accessible
Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value
Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...
Seel, J. et al Lawrence Berkeley National Lab
Sep 30, 2020
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Distributed Generation Market Demand (dGen) model
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sector...
Stanley, T. et al National Renewable Energy Laboratory (NREL)
Oct 16, 2020
4 Resources
1 Stars
Publicly accessible
4 Resources
1 Stars
Publicly accessible
Renewable Electricity Futures Study Volume One
Renewable Electricity Futures Study Volume One. This is part of a series of four volumes describing exploring a high-penetration renewable electricity future for the United States of America. This data set is provides data for the entire volume one document and includes all data f...
Hand. . et al National Renewable Energy Laboratory
Jan 19, 2016
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
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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
Publicly accessible
3 Resources
0 Stars
Publicly accessible
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
Publicly accessible
3 Resources
0 Stars
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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
Publicly accessible
3 Resources
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Ridgelines: Department of Interior Definition
This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
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3 Resources
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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
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5 Resources
0 Stars
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Availability Estimates of Low-Cost, Dispatch-Constrained Electricity (LDE)
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 Uni...
Ruth. . et al National Renewable Energy Laboratory
Feb 20, 2023
5 Resources
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5 Resources
0 Stars
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Utility-Scale Solar, 2022 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Berkeley Labs "Utility-Scale Solar", 2022 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...
Seel, J. et al Lawrence Berkeley National Lab
Sep 20, 2022
4 Resources
0 Stars
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4 Resources
0 Stars
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Tracking the Sun
Berkeley Lab's Tracking the Sun report series is dedicated to summarizing installed prices and other trends among grid-connected, distributed solar photovoltaic (PV) systems in the United States. The present report, the 11th edition in the series, focuses on systems installed thro...
Barbose, G. and Darghouth, N. Lawrence Berkeley National Laboratory (LBNL)
Oct 01, 2019
6 Resources
1 Stars
Publicly accessible
6 Resources
1 Stars
Publicly accessible
Solar PV Structure Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from structures based on county ordinances as of April 2022. A setback requirement is a minimum distance from a structure that an energy project may be developed, and these varied widely across the counties in which they ex...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Solar PV Water Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from bodies of water based on county ordinances as of April 2022. A setback requirement is a minimum distance from water that an energy project may be developed, and these varied widely across the counties in which they exi...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
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Solar PV Road Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from roads based on county ordinances as of April 2022. A setback requirement is a minimum distance from a road that an energy project may be developed, and these varied widely across the counties in which they existed. Two...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
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Utility-Scale Solar, 2023 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Berkeley Labs "Utility-Scale Solar", 2023 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...
Seel, J. et al Lawrence Berkeley National Lab
Sep 05, 2023
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
Utility-Scale Solar, 2024 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Berkeley Labs "Utility-Scale Solar", 2024 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...
Seel, J. et al Lawrence Berkeley National Lab
Sep 27, 2024
5 Resources
1 Stars
Publicly accessible
5 Resources
1 Stars
Publicly accessible
Utility-Scale Solar, 2021 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Berkeley Labs "Utility-Scale Solar", 2021 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...
Bolinger, M. et al Lawrence Berkeley National Lab
Sep 30, 2021
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
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Block Scale Rooftop Solar Technical Potential for the City of Orlando
The html maps are provided as supplementary information for the publication titled Parcel Scale Assessment of Rooftop Solar Technical Potential (NREL/PR-7A40-80780). The maps contain information on rooftop solar technical potential at the block scale for the city of Orlando in Flo...
Prasanna. . et al National Renewable Energy Laboratory
Nov 24, 2021
2 Resources
0 Stars
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2 Resources
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Puerto Rico Solar-for-All: LMI PV Rooftop Technical Potential and Solar Savings Potential
The Puerto Rico Solar-For-All dataset provides Census Tract level estimates of residential low-to-moderate income (LMI) PV rooftop technical potential as well as solar electric bill savings potential for LMI communities at the municipality level. Each dataset is broken out by inco...
Mooney. . et al National Renewable Energy Laboratory
Jul 28, 2020
5 Resources
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5 Resources
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PV Rooftop Database for Puerto Rico (PVRDB-PR)
The National Renewable Energy Laboratory's (NREL) PV Rooftop Database for Puerto Rico (PVRDB-PR) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for virtually all buildings in Puerto Rico. The dataset can be downloaded a...
Mooney, M. and Waechter, K. National Renewable Energy Laboratory (NREL)
Dec 16, 2020
5 Resources
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5 Resources
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