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Cranfield Thermosiphon Test DTS Data
Thermal profile data acquired using Silixa Ultima Distributed Temperature Sensor (DTS) at Cranfield, MS field test
Freifeld, B. Lawrence Berkeley National Laboratory
Jan 19, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Public Reference Data for Megawatt-Scale Hydrogen Electrolysis NLR Historical Solar PV
The U.S. Department of Energy and National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis from variable sources, hydrogen compression and storage, and hydrogen fuel cell power production using megawatt-scale equipment at NLR’s Flatirons Campus as part of the A...
Abel, R. et al National Laboratory of the Rockies
Jun 15, 2026
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
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United States Hydrogen Potential From Renewable Resources
Estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar photovoltaic, and biomass) by county for the United States. This study was conducted to estimate the potential for producing hydrogen from key renewable resources (onshore wind, solar p...
Milbrandt, A. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Geothermal Reservoir Simulation Results in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This dataset contains input data, code, ReadMe files, output data, and figures that summarize the results of a stochastic analysis of geothermal reservoir production from two potential geothermal reservoirs that were evaluated for the Cornell University Deep Direct-Use project. Th...
Smith, J. and Beckers, K. Cornell University
Oct 29, 2019
10 Resources
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible
EGS Collab Experiment 1: Core Logs
Core logs from the EGS Collab project Experiment 1 for the stimulation (Injection) well (E1-I), the Production well (E1-P), and monitoring wells (E1-OT, E1-OB, E1-PST, E1-PSB, E1-PDT, and E1-PDB) on the 4850 Level of SURF (the Sanford Underground Research Facility), single PDF fil...
Dobson, P. et al Lawrence Berkeley National Laboratory
Apr 02, 2019
17 Resources
0 Stars
Publicly accessible
17 Resources
0 Stars
Publicly accessible
Geologic Map and GIS Data for the Tuscarora Geothermal Area
Tuscarora-ESRI Geodatabase (ArcGeology v1.3):
Contains all the geologic map data, including faults, contacts, folds, unit polygons, and attitudes of strata and faults.
List of stratigraphic units and stratigraphic correlation diagram.
Detailed unit descriptions of stratigraphic...
E., J. University of Nevada
Dec 31, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
NREL Global Offshore Wind GIS Data
GIS data for offshore wind speed (meters/second) at a 90 meter height above surface level. The data is specified to Exclusive Economic Zones (EEZ). The wind resource is based on NOAA Blended Sea Winds and monthly wind speed at 30km resolution from 1987-2005, using a 0.11 wind shea...
Langle, N. and Heimiller, D. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
Publicly accessible
5 Resources
0 Stars
Publicly accessible
Public Reference Data for Megawatt-Scale Hydrogen Electrolysis – Simulated Wave
The U.S. Department of Energy and the National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis, hydrogen compression and storage, and variable hydrogen fuel cell power production using megawatt-scale equipment at NLR’s Flatirons Campus as part of the Advanced R...
Abel, R. et al National Laboratory of the Rockies
Dec 12, 2025
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
Modeled Utility-Scale Solar+Storage Operations 2020-2024
In this project, we model optimized hourly dispatch under energy, capacity, and ancillary-service market opportunities using a linear optimizer with perfect price and generation foresight and are sharing the hourly solar and storage generation profiles for our sample here using th...
Seel, J. et al Lawrence Berkeley National Lab
May 12, 2026
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
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3D Model of the McGinness Hills Geothermal Area
The McGinness Hills geothermal system lies in a ~8.5 km wide, north-northeast trending accommodation zone defined by east-dipping normal faults bounding the Toiyabe Range to the west and west-dipping normal faults bounding the Simpson Park Mountains to the east. Within this broad ...
E. Faulds, J. University of Nevada
Dec 31, 2013
1 Resources
0 Stars
Publicly accessible
1 Resources
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Lightning Dock Geothermal Field Data Package, Hidalgo County, New Mexico
This submission is a curated geoscience, well and plant-operations data package for the Lightning Dock geothermal field in the Animas Valley, Hidalgo County, south-western New Mexico, a liquid-dominated system produced for binary (ORC) power generation. It covers well-by-well data...
Ifrene, G. et al Zanskar geothermal & minerals inc
Aug 19, 2026
10 Resources
0 Stars
Publicly accessible
10 Resources
0 Stars
Publicly accessible
Public Reference Data for Megawatt-Scale Hydrogen Electrolysis – Simulated Wind
The U.S. Department of Energy and the National Laboratory of the Rockies (NLR) demonstrate hydrogen electrolysis, hydrogen compression and storage, and variable hydrogen fuel cell power production using megawatt-scale equipment at NLR’s Flatirons Campus as part of the Advanced R...
Abel, R. et al National Laboratory of the Rockies
Dec 12, 2025
15 Resources
0 Stars
Publicly accessible
15 Resources
0 Stars
Publicly accessible
Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations: Data used in Geosphere Journal Article
This data submission is for Phase 2 of Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations, which focuses on multi-fluid (CO2 and brine) geothermal energy production and diurnal bulk energy storage in geologic settings that are suitable for ...
A., T. Lawrence Livermore National Laboratory
Jun 01, 2015
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
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Deep Direct-Use Feasibility Study Numerical Modeling and Uncertainty Analysis using iTOUGH2 for West Virginia University
To reduce the geothermal exploration risk, a feasibility study is performed for a deep direct-use system proposed at the West Virginia University (WVU) Morgantown campus. This study applies numerical simulations to investigate reservoir impedance and thermal production. Because of...
Garapati, N. et al West Virginia University
Dec 20, 2019
13 Resources
0 Stars
Publicly accessible
13 Resources
0 Stars
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U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2016)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 13, 2017
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2018)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 25, 2019
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2017)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 24, 2018
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2015)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. and Laboratory, N. National Renewable Energy Laboratory
Oct 19, 2016
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Dec 01, 2020
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2020)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Dec 01, 2021
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2021)
This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...
Huggins, J. National Renewable Energy Laboratory (NREL)
Nov 21, 2022
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2022)
This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...
Huggins, J. National Renewable Energy Laboratory (NREL)
Apr 05, 2024
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2023)
This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...
Huggins, J. National Renewable Energy Laboratory (NREL)
Nov 06, 2024
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
U.S. Electric Utility Companies and Rates: Look-up by Zip Code (2024)
This dataset, compiled by NREL using data from ABB, the Velocity Suite (http://energymarketintel.com/) and the U.S. Energy Information Administration dataset 861 (http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity rate...
Huggins, J. National Renewable Energy Laboratory (NREL)
Nov 10, 2025
4 Resources
1 Stars
Publicly accessible
4 Resources
1 Stars
Publicly accessible
Appalachian Basin Temperature-Depth Maps and Structured Data in support of Feasibility Study of Direct District Heating for the Cornell Campus Utilizing Deep Geothermal Energy
This dataset contains shapefiles and rasters that summarize the results of a stochastic analysis of temperatures at depth in the Appalachian Basin states of New York, Pennsylvania, and West Virginia. This analysis provides an update to the temperature-at-depth maps provided in the...
Smith, J. Cornell University
Oct 29, 2019
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible