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NWEI Azura September 2016 Data

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing spe...

Lettenmaier, T. Northwest Energy Innovations

Oct 15, 2016
8 Resources
0 Stars
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NWEI Azura November 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Dec 07, 2016
8 Resources
0 Stars
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Economic Impact of Permitting Timelines on Produced Geothermal Power

Despite having a large geothermal power potential in the United States, only a small fraction has been developed for power generation. Various barriers, including technical, financial, and regulatory permit delays, are attributed to lower contribution of geothermal energy in the n...

Neupane, G. and Adhikari, B. Idaho National Laboratory

Feb 15, 2022
3 Resources
0 Stars
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Wind for Schools Wind Turbine Data

This dataset is a series of wind turbine data collected for the Wind for Schools project. The U.S. Department of Energy funded the Wind for Schools project, which helped develop a future wind energy workforce by encouraging students at higher education institutions to join Wind Ap...

Summerville, B. et al National Renewable Energy Laboratory (NREL)

Jan 01, 2012
4 Resources
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NWEI Azura Aug 2015 Data

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawai'i (MCBH) on the windward (northeast) coast of the island of O'ahu, HI. See general documentation describing ...

Lettenmaier, T. Northwest Energy Innovations

Dec 14, 2015
9 Resources
0 Stars
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NWEI Azura Oct 2015 Data

Data files for the NWEI Azura grid-connected deployment at the 30-meter berth of the US Navy's Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, HI. See general documentation describing sp...

Lettenmaier, T. Northwest Energy Innovations

Dec 14, 2015
8 Resources
0 Stars
Publicly accessible

NWEI Azura June 2015 Data

Lettenmaier, T. Northwest Energy Innovations

Dec 14, 2015
8 Resources
0 Stars
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NWEI Azura January 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Jan 01, 2016
9 Resources
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NWEI Azura April 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Jun 08, 2016
8 Resources
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NWEI Azura July 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Aug 31, 2016
9 Resources
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NWEI Azura October 2016 Data

Lettenmaier, T. Northwest Energy Innovations

Nov 11, 2016
9 Resources
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NWEI Azura March 2018 Data

Lettenmaier, T. Northwest Energy Innovations

May 18, 2018
8 Resources
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NWEI Azura April 2018 Data

Lettenmaier, T. Northwest Energy Innovations

May 18, 2018
8 Resources
0 Stars
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Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Large Scale Grid

Mesh, properties, initial conditions, injection/withdrawal rates for modeling thermal, hydrological, and mechanical effects of fluid injection to and withdrawal from ground for Stockton University reservoir cooling system (aquifer storage cooling system), Galloway, New Jersey, on ...

Smith, J. et al Lawrence Berkeley National Laboratory

Feb 26, 2021
15 Resources
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NWEI Azura November 2015 Data

Lettenmaier, T. Northwest Energy Innovations

Dec 15, 2015
9 Resources
0 Stars
Publicly accessible

NWEI Azura May 2018 Data

Lettenmaier, T. Northwest Energy Innovations

Jul 23, 2018
9 Resources
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NWEI Azura June 2018 Data

Lettenmaier, T. Northwest Energy Innovations

Jul 31, 2018
8 Resources
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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
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NREL GIS Data: Arkansas High Resolution Wind Resource

_Abstract:_ Annual average wind resource potential for the state of Arkansas at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of Arkansas. _Supplemental Information:_ This data set has been validated by NREL ...

Wood, J. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

Gearbox Reliability Collaborative Phase 3 Gearbox 2 Test

The National Renewable Energy Laboratory (NREL) Gearbox Reliability Collaborative (GRC) was established by the U.S. Department of Energy in 2006; its key goal is to understand the root causes of premature gearbox failures and improve their reliability. The GRC uses a combined gear...

Keller and RobbNational Renewable Energy Laboratory

May 02, 2016
17 Resources
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Oilwell Conversion (Well API 121913310501) to Geothermal Heat Storage Well for Flexible Electricity Storage

Geothermal growth is limited by a lack of geographically dispersed high-temperature thermal resources and high initial upfront investment in characterization and well construction. This project intended to address the challenges of energy supply intermittency and enhance grid resi...

Malkewicz, N. et al University of Illinois

May 05, 2021
8 Resources
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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
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Utah FORGE: Groundwater Data

This submission includes two modeled drawdown scenarios with new supply well locations, a total dissolved solids (TDS) concentration grid (raster dataset representing the spatial distribution of TDS), and an excel spreadsheet containing well data.

Moore, J. Energy and Geoscience Institute at the University of Utah

Jul 20, 2016
5 Resources
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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
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Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems

Accurate dynamic energy simulation is important for the design and sizing of district heating and cooling systems with geothermal heat exchange for seasonal energy storage. Current modeling approaches in building and district energy simulation tools typically consider heat conduct...

Hu, J. et al Lawrence Berkeley National Laboratory

Jan 31, 2022
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Search OEDI Data

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NWEI Azura September 2016 Data

NWEI Azura November 2016 Data

Economic Impact of Permitting Timelines on Produced Geothermal Power

Wind for Schools Wind Turbine Data

NWEI Azura Aug 2015 Data

NWEI Azura Oct 2015 Data

NWEI Azura June 2015 Data

NWEI Azura January 2016 Data

NWEI Azura April 2016 Data

NWEI Azura July 2016 Data

NWEI Azura October 2016 Data

NWEI Azura March 2018 Data

NWEI Azura April 2018 Data

Thermal-Hydrological-Mechanical Modelling of Stockton University Reservoir Cooling System, Large Scale Grid

NWEI Azura November 2015 Data

NWEI Azura May 2018 Data

NWEI Azura June 2018 Data

NREL GIS Data: Arizona High Resolution Wind Resource

NREL GIS Data: Arkansas High Resolution Wind Resource

Gearbox Reliability Collaborative Phase 3 Gearbox 2 Test

Oilwell Conversion (Well API 121913310501) to Geothermal Heat Storage Well for Flexible Electricity Storage

North and South Dakota High Resolution 50m Wind Resource

Utah FORGE: Groundwater Data

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

Coupling Subsurface and Above-Surface Models for Optimizing the Design of Borefields and District Heating and Cooling Systems