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Rhode Island High Resolution Wind Resource

Annual average wind resource potential for the state of Rhode Island at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Tennessee High Resolution Wind Resource

Annual average wind resource potential for the state of Tennessee at a 50 meter height. 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 was gen...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Utah High Resolution Wind Resource

Annual average wind resource potential for the state of Utah, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefi...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Vermont High Resolution Wind Resource

Annual average wind resource potential for the state of Vermont at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gener...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 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

Miller & Keith (2018) Wind Plant Data

Information on the 430 wind power plants used in 'Observation-based solar and wind power capacity factors and power densities’ by Miller & Keith (2018, Environ. Res. Lett. 13 104008), initially based on the Wind Power Plant locations released by the US Energy Information Adminis...
Miller, L. Harvard University
Nov 22, 2018
2 Resources
0 Stars
In curation

Wind Resources in Alaska

Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
Dec 30, 2006
2 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
1 Stars
Publicly accessible

NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL?s Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...
Heimiller, D. et al National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible

North and South Dakota High Resolution 50m Wind Resource

Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.
Langle, N. and Lopez, A. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
Publicly accessible

Develop and verify soil/structure interaction for pile/foundation interaction

**Overview** Phase II of the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) project was used to verify the implementation of a new soil-structure interaction (SSI) model for use within offshore wind turbine modeling software. The REDWIN...
Robertson, A. Wind Energy Technologies Office (WETO)
Jun 02, 2022
1 Resources
0 Stars
Publicly accessible
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