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Summary World Oil Data (from World on the Edge)
This dataset presents summary information related to world oil. It is part of a supporting dataset for the book World On the Edge: How to Prevent Environmental and Economic Collapse by Lester R. Brown, available from the [Earth Policy Institute](http://www.earth-policy.org/ "Earth...
Hallett, K. and Institute, E. National Renewable Energy Laboratory
Jan 11, 2011
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Geothermal Power Capacity Online by State (as of April 2011)
The Geothermal Energy Association (GEA) provides data about geothermal power plants in the U.S. This data summarizes total geothermal power capacity online (MW) as of April, 2011. The information is available via the GEA website (http://geo-energy.org/plants.aspx). The Excel file ...
Hallett, K. and Association, G. National Renewable Energy Laboratory
Jul 30, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Description of the NSW Australia Electricity Network
Information about the New South Wales (NSW) electricity network is available. The information was taken from a line diagram of the NSW (Australia) Electricity network circa 2002 containing electrical bus and transmission line properties for use in load flow analysis. The results o...
Neale, D. and Management, M. National Renewable Energy Laboratory
Jan 01, 2002
1 Resources
0 Stars
In curation
1 Resources
0 Stars
In curation
University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy
The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...
Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)
May 04, 2021
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible