OpenEI: Energy Information
  • Open Energy Data Initiative (OEDI)
  • My User
    • Sign Up
    • Login
OEDI logo
  • Data
    • View All Submissions
    • Data Lakes
    • Submit Data
  • Help
    • Frequently Asked Questions
    • Data Submission Best Practices
    • Data Submission Tutorial Videos
    • Contact OpenEI Help
  • About
  • Search

Search OEDI Data

Showing results 51 - 75 of 135.
Show results per page.
Order by:
Available Now:
Filters Clear All Filters ×
Research Areas
Accessibility
Data Type
Organization
Source
"true wind direction"×
Archive×

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

United States Pacific Northwest Regional High Resolution Wind Resource

Annual average wind resource potential of the northwestern 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 shapefile ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

United States Mid-Atlantic Regional High Resolution Wind Resource

Annual average wind resource potential of the mid-Atlantic United States at a 50 meter height. States included are: Delaware, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia, West Virginia and the District of Columbia. This data set has been validated by NREL a...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

New York High Resolution Wind Resource

Annual average wind resource potential for New York 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 generated from a...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

NREL GIS Data: Continental United States High Resolution Concentrating Solar Power

_Abstract:_ Monthly and annual average solar resource potential for the lower 48 states of the United States of America. _Purpose:_ Provide information on the solar resource potential for the for the lower 48 states of the United States of America. _Supplemental Informatio...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

NREL GIS Data: Continental United States Photovoltaic Low Resolution Collector Data Files

_Abstract:_ Monthly and annual average solar resource potential for the lower 48 states _Purpose:_ Provide information on the solar resource potential for the lower 48 states. The insolation values represent the average solar energy available to a horizontal flat plate co...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Afghanistan Wind Power Density at 50-m Above Ground Level GIS Data

This dataset was developed by the National Renewable Energy Laboratory (NREL) for the [U.S. Agency for International Development'](http://www.usaid.gov/)s (USAID) [South Asia Regional Initiative for Energy Cooperation](http://www.sari-energy.org/) (SARI/E). The dataset contains Wi...
Langle, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible

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

Regional Slip Tendency Analysis of the Great Basin Region

Slip and dilation tendency on the Great Basin fault surfaces (from the USGS Quaternary Fault Database) were calculated using 3DStress (software produced by Southwest Research Institute). Slip and dilation tendency are both unitless ratios of the resolved stresses applied to the f...
E., J. University of Nevada
Sep 30, 2013
1 Resources
0 Stars
Publicly accessible

University of Massachusetts Marine Renewable Energy Center Waverider Buoy Data

The compressed (.zip) file contains Datawell MK-III Directional Waverider binary and unpacked data files as well as a description of the data and manuals for the instrumentation. The data files are contained in the two directories within the zip file, "Apr_July_2012" and "Jun_Sept...
Lohrenz, S. University of Massachusetts
Oct 07, 2015
3 Resources
0 Stars
Publicly accessible

Iowa High Resolution Wind Resource

Annual average wind resource potential for the state of Iowa 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 generate...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

NREL GIS Data: Connecticut Wind High Resolution

Abstract: Annual average wind resource potential for the state of Connecticut at a 50 meter height.

Purpose: Provide information on the wind resource development potential within the state of Connecticut.

Supplemental_Information: This...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Reference Site Condition Datasets for Floating Wind Arrays in the United States

Floating offshore wind farm design is highly site-specific, requiring detailed information about the specific conditions of a project area for realistic design studies. Unfortunately, publicly available site condition data for potential floating offshore wind project sites in the ...
Biglu. . et al National Renewable Energy Laboratory
Aug 02, 2024
4 Resources
0 Stars
Publicly accessible

Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets

Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research has investigated various condition-monitoring techniques such as acoustic emission (AE specifically stress wave), vibrat...
Sheng, S. National Renewable Energy Laboratory
Mar 28, 2014
5 Resources
2 Stars
Publicly accessible

NREL GIS Data: Maine High Resolution Wind Resource

Abstract: Annual average wind resource potential for the state of Maine at a 50 meter height.

Purpose: Provide information on the wind resource development potential within the state of Maine.

Supplemental_Information: This data set ha...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

2023 National Offshore Wind data set (NOW-23)

The 2023 National Offshore Wind data set (NOW-23) is the latest wind resource data set for offshore regions in the United States, which supersedes, for its offshore component, the Wind Integration National Dataset (WIND) Toolkit, which was published about a decade ago and is curre...
Bodini, N. et al National Renewable Energy Laboratory
Jan 01, 2020
22 Resources
1 Stars
Publicly accessible

Annual Average Modeled Wind Speed for Puerto Rico and the Virgin Islands at a 100 Meter Hub Height

This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Annual Average Modeled Wind Speed (m/s) for Puerto Rico and the Virgin Islands at a 70 Meter Hub Height.

This is supplemental data to the 50 m height data set that was validated by NREL and wind energy meteorological consultants in 2007. The data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m spatial re...
Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Illinois High Resolution Wind Resource

Annual average wind resource potential of Illinois at a 50 meter height. This data set was produced and validated by NREL using their WRAM model. This shapefile was generated from a raster dataset with a 1000 m resolution, in a Transverse Mercator projection with the following ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

NREL GIS Data: Colorado Wind High Resolution

Abstract: Annual average wind resource potential for the state of Colorado, United States at a 50 meter height.

Purpose: Provide information on the wind resource potential for the state of Colorado.

Supplemental_Information: This data ...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 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

Shallow (2-meter) Temperature Surveys in Colorado

Shallow temperature surveys are useful in early-stage geothermal exploration to delineate surface outflow zones, with the intent to identify the source of upwelling, usually a fault. Detailed descriptions of the 2-meter survey method and equipment design can be found in Coolbaugh ...
E., R. Flint Geothermal, LLC
Feb 01, 2012
1 Resources
0 Stars
Publicly accessible

U.S. Wind and Solar PV Supply Curves with Future Land-use Change

This dataset provides future supply curves representing the total resource potential for land-based wind and solar photovoltaic (PV) deployment in the conterminous United States after accounting for the impact of land-use and land-cover change (LULC). We use LULC projections from ...
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Jan 10, 2024
4 Resources
0 Stars
Publicly accessible

NREL GIS Data: Hawaii Low Resolution Concentrating Solar Power Resource

_Abstract:_ Monthly and annual average solar resource potential for Hawaii. _Purpose:_ Provide information on the solar resource potential for Hawaii. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, o...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

2024 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 (land-based) wind, offshore wind, and concentrating solar power (CSP) are included. Hourly profiles are provid...
Sergi, B. et al National Renewable Energy Laboratory (NREL)
Mar 25, 2025
9 Resources
0 Stars
Publicly accessible
<< Previous123456Next >>
  • About the Open Energy Data Initiative
  • Partners & Sponsors
  • Disclaimers
  • Developer Services
  • The OEDI Data Lake is a centralized repository of datasets aggregated from the U.S. Department of Energy’s Programs, Offices, and National Laboratories.
  • Content is available under Creative Commons Attribution 4.0 unless otherwise noted.

Privacy Policy Notification

This site uses cookies to store and share user preferences with other OpenEI sites, and uses Google Analytics to collect anonymous user information such as which pages are visited, for how often, and what searches or other webpages may have led users here. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser or by installing a Google Analytics Opt-out Browser Add-on. By clicking "Accept" you agree this site can store cookies on your device and disclose information to OpenEI and Google Analytics in accordance with our privacy policy.

OpenEI Privacy Policy Google Analytics Terms of Service