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NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (3 Percent Slope and Less)
Filtered (3% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (4 Percent Slope and Less)
Filtered (4% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (5 Percent Slope and Less)
Filtered (5% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (1 Percent Slope and Less)
Filtered (1% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Ocean Thermal Energy Conversion (OTEC) Datasets
The data presented here were collected from the Ocean Thermal Extractable Energy Visualization (OTEEV) project. The OTEEV project focused on assessing the Maximum Practicably Extractable Energy (MPEE) from the world's ocean thermal resources.
This project explored the feasibili...
Langle, N. et al National Renewable Energy Laboratory
Nov 25, 2014
10 Resources
0 Stars
In curation
10 Resources
0 Stars
In curation
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
The Urban Energy-Water Nexus: Utility-Level Water Flows and Embedded Energy
There are limited open source data available for determining water production/treatment and required energy for cities across the United States. This database represents the culmination of a two-year effort to obtain data from cities across the United States via open records reque...
Chini, C. and Stillwell, A. University of Illinois at Urbana-Champaign
Feb 20, 2018
114 Resources
0 Stars
Publicly accessible
114 Resources
0 Stars
Publicly accessible
ARPA-E Grid Optimization (GO) Competition Challenge 3
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public.
The Grid Optimizat...
Elbert, S. et al Pacific Northwest National Laboratory
May 02, 2024
39 Resources
1 Stars
Publicly accessible
39 Resources
1 Stars
Publicly accessible