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Wave Classification Statistical Data for US Waters
Wave statistics computed using output from the NOAA WWIII hindcast simulations, spanning thirty years from 1980 to 2009. The statistics are computed based on frequency-directional variance density spectra every three hours for 1951 locations in US waters.
Haas, K. Georgia Tech Research Corporation
Sep 21, 2016
NREL GIS Data: Georgia High Resolution Wind Resource
_Abstract:_ Annual average wind resource potential for the state of Georgia at a 50 meter height. _Purpose:_ Provide information on the wind resource development potential within the state of Georgia. _Supplemental Information:_ This data set has been validated by NREL an...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
Development of Classification Systems for Wave Energy Resources and WEC Technologies
The submission includes wave resource classification reports, summary of classification statistics and regional trends, and data files with classification statistics for selected sites for extreme significant wave height. Two conference papers were uploaded that include classifica...
Neary, V. et al Sandia National Laboratories
Jun 30, 2017
Financial Summary, Nanofiltration Data, and Lithium Uptake Data
Integrated testing of nanofiltration and lithium uptake subsystems using synthetic geothermal brine. Also includes a financial summary (Pro Forma) of the proposed 'Geothermal Thermoelectric Generation (G-TEG) with Integrated Temperature Driven Membrane Distillation and Novel Manga...
Renew, J. Southern Research Institute
Dec 05, 2016
Low-Income Energy Affordability Data LEAD Tool 2018 Update
The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low and moderate-income (LMI) communities t...
Ma, O. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy
Jul 01, 2020