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Wind Energy×

Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...
Sullivan, P. et al National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
1 Stars
Curated

NREL Global Offshore Wind GIS Data

GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ). Wind resource based on NOAA Blended Sea Winds and monthly wind speed at 30km resolution from 1987-2005, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average >= 10 months o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation

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
Curated

National Hydropower Asset Assessment Program

The Oak Ridge National Laboratory (ORNL) National Hydropower Asset Assessment Program (NHAAP) is an integrated energy, water, and ecosystem research and geospatial data integration effort for efficient,
Webmaster, . and Laboratory, O. Oak Ridge National Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

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
0 Stars
Curated

NREL GIS Data: Global Offshore Wind

GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ). Wind resource based on NOAA blended sea winds and monthly wind speed at 30km resolution, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average = 10 months of data, no null...
Langle, N. National Renewable Energy Laboratory
Jul 30, 2014
1 Resources
0 Stars
In curation

Wind Energy Resource Data

NREL's Geographic Information System (GIS) team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and i...
Webmaster, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

Summary World Wind Energy Data (from World on the Edge)

This dataset presents summary information related to world wind energy. It is part of a supporting dataset for the book World On the Edge: How to Prevent Environmental and Economic Collapse by Lester R. Brown, available from the [Earth Policy Institute](http://www.earth-policy.org...
Hallett, K. and Institute, E. National Renewable Energy Laboratory
Jan 11, 2011
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

SWERA: Solar and Wind Energy Resource Assessment

The Solar and Wind Energy Resource Assessment (SWERA) Programme was a collaboration of worldwide partners with a mission to provide information on renewable energy resources for countries and regions around the world. Funding and support for the SWERA Programme concluded in 2011, ...
Langle, N. National Renewable Energy Laboratory
Dec 21, 2017
2 Resources
0 Stars
In curation

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

Alaska's RE Grant Recommendation Program (2008): Location and General Information

In 2008, the Alaska legislature established the Renewable Energy (RE) Grant Recommendation Program. The Alaska Energy Authority (AEA) solicited for competitive applications between September and November 2008 from qualified applicants for the purpose of recommending grants for RE ...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 2009
2 Resources
0 Stars
In curation

Lidar NOAA High Resolution Doppler Lidar (HRDL) Raw Data

**Data Details** HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Raw Data

**Data Details** Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 04, 2015
1 Resources
0 Stars
Publicly accessible

Radar TTU Ka-band, ka1 Raw Data

**Overview** The metadata for each TTUKa1 deployment can be found in the attached spreadsheet.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
0 Stars
Publicly accessible

Radar TTU Ka-band, ka2 Raw Data

**Overview** The metadata for the TTUKa2 XPIA deployments are included in the attached text file.
Gunter, S. Wind Energy Technologies Office (WETO)
Mar 03, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA High Resolution Doppler Lidar (HRDL) Derived Data

**Data Details** HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA High Resolution Doppler Lidar (HRDL) Processed Data

**Data Details** HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Derived Data

**Data Details** Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 05, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek2) Processed Data

**Data Details** Dalek 2, Visitor's Center: lat(40.045), lon(-105), alt(1587m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 07, 2015
1 Resources
0 Stars
Publicly accessible

Microwave Radiometer UMBC Microwave Radiometer Raw Data

**Overview** Kipp & Zonen Microwave Temperature Profiler (MTP-5) with a 5 min temporal and 50 m vertical resolution.
Delgado, R. Wind Energy Technologies Office (WETO)
Apr 10, 2015
1 Resources
0 Stars
Publicly accessible

Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the Assessment of PV System and Wind Turbine Performance

This dataset comprises Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for the efficient assessment of PV system and wind turbine performance for over 2,000 locations across the U.S. TSYs and TWYs are single synthetic years generated from the National Aeronautics and Spac...
Zeng, Z. et al Argonne National Laboratory
Jul 14, 2024
7 Resources
0 Stars
Curated

Lidar DOE ARM StreamLine Doppler Lidar (Halo) Raw Data

**Overview** Refer to attached documentation. **Data Details** **Product type should be "derived" not "observed."** **Data Quality** Refer to attached documentation. **Uncertainty** Refer to attached documentation.
Newsom, R. Wind Energy Technologies Office (WETO)
Mar 05, 2015
1 Resources
0 Stars
Publicly accessible

Lidar UT-Dallas WindCube 200S Doppler Lidar Derived Data

**Overview** fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height **Data Quality** unfiltered data **Uncertainty** raw data **Constraints**
Iungo, G. Wind Energy Technologies Office (WETO)
Mar 05, 2015
1 Resources
0 Stars
Publicly accessible

Lidar UT-Dallas WindCube 200S Doppler Lidar Processed Data

**Overview** fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height **Data Quality** unfiltered data **Uncertainty** raw data **Constraints**
Iungo, G. Wind Energy Technologies Office (WETO)
Mar 18, 2015
1 Resources
0 Stars
Publicly accessible
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