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Ocean Thermal Energy Conversion (OTEC) Cold Water Depth (Annual Average)

This shapefile represents annual average cold water depth recordings. The cold water is defined by locating the depth that leads to the greatest average annual net power at each location when depth and its corresponding ?T are input into the power equation. This optimization ba...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Cold Water Depth (Summer Average)

This shapefile represents seasonal summer average cold water depth recordings. The cold water is defined by locating the depth that leads to the greatest average annual net power at each location when depth and its corresponding ΔT are input into the power equation. This optim...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Cold Water Depth (Winter Average)

This shapefile represents seasonal winter average cold water depth recordings. The cold water is defined by locating the depth that leads to the greatest average annual net power at each location when depth and its corresponding ΔT are input into the power equation. This optim...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) delta T (Annual Average)

This shapefile represents annual average delta T estimates. ΔT represents the difference in temperature (°C) between the warm and cold water sources used by an OTEC plant at a specific location. Warm water is defined uniformly as water at a depth of 20 m, while cold water is ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) delta T (Summer Average)

This shapefile represents seasonal summer average delta T estimates. ΔT represents the difference in temperature (°C) between the warm and cold water sources used by an OTEC plant at a specific location. Warm water is defined uniformly as water at a depth of 20 m, while cold ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

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
0 Stars
In curation

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

Energy Appliance Data 2009-2010

Datasets for residential appliances energy usage/efficiency. The Federal Trade Commission (FTC) collects manufacturer data about the energy use and efficiency of appliances. All of the data was submitted by manufacturers under the FTC's Appliance Labeling Rule (see "FTC Appliance ...
Trade Commission, F. National Renewable Energy Laboratory
Jul 29, 2014
19 Resources
0 Stars
Publicly accessible

NREL GIS Data: U.S. Atlantic Coast Offshore Windspeed 90m Height High Resolution

This dataset is a geographic shapefile generated from the original raster data. The original raster data resolution is a 200-meter cell size. The data provide an estimate of annual average wind speed at 90 meter height above surface for specific offshore regions of the United Stat...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

ARPA-E Grid Optimization (GO) Competition Challenge 2

The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...
Elbert, S. et al Pacific Northwest National Laboratory
Sep 20, 2024
29 Resources
0 Stars
Publicly accessible
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