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OpenEI Energy Data (OEDI)×

Ocean Thermal Energy Conversion (OTEC) Plant Spacing Estimates

This shapefile represents estimated plant spacing distances. The estimates shown here were obtained considering the availability of cold water at a particular location based on two criteria, the deep-water velocities from HYCOM and a layer-depth constraint estimated from the gl...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Sea Surface Temperature (Annual Average)

This shapefile represents annual average sea surface temperature recordings. The sea surface temperature is the temperature of the warm water source used by an OTEC plant. This is defined to be near the sea surface at a depth of 20 m, the approximate depth of a warm water intak...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Sea Surface Temperature (Summer Average)

This shapefile represents seasonal summer average sea surface temperature recordings. The sea surface temperature is the temperature of the warm water source used by an OTEC plant. This is defined to be near the sea surface at a depth of 20 m, the approximate depth of a warm wa...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Ocean Thermal Energy Conversion (OTEC) Sea Surface Temperature (Winter Average)

This shapefile represents seasonal winter average sea surface temperature recordings. The sea surface temperature is the temperature of the warm water source used by an OTEC plant. This is defined to be near the sea surface at a depth of 20 m, the approximate depth of a warm wa...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States

This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events....
Gunda, T. and Jackson, N. Sandia National Laboratories
Apr 01, 2021
2 Resources
0 Stars
Curated

DOT rate and revenues summary to 1995

The data included in this submission is United States Department of Transportation (DOT) data on rates and revenue statistics up to 1995. The data includes state motor-fuel tax receipts, 1919-1995, state motor fuel taxes and related receipts, 1950-1995, and state and federal moto...
Hill, G. and (DOT), U. National Renewable Energy Laboratory
Jul 29, 2014
4 Resources
0 Stars
In curation

Energy Appliance Data Room Air Conditioners 2010

The Federal Trade Commission collects manufacturer data about the energy use and efficiency of appliances. To view 2010 efficiency data for room air conditioners, select a format below. All of the data was submitted by manufacturers under the FTC's [Appliance Labeling Rule](http:/...
Twong, . and Commission, U. National Renewable Energy Laboratory
Jul 29, 2014
3 Resources
0 Stars
In curation

Anemometer Data (Wind Speed, Direction) for Navajo-Black Mesa, AZ (2004 2005)

Wind data collected from Navajo Indian Reservation in Arizona from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2004 through 2005, as is wind direction and turbulence data. Data reported from a height of 120 m. The ...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

Anemometer Data (Wind Speed, Direction) for Table Bluff, CA (2002 2004)

Wind data collected from Table Bluff Indian Reservation in California from a 20-meter anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2002 through 2004, as is wind direction and turbulence data. The data was originally ma...
Hallett, K. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation

BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Curated

Hourly Energy Emission Factors for Electricity Generation in the United States

Monthly average hourly CO2, NOx, and SO2 emission factors for each U.S. eGRID subregion. This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the [eGRID](https://www.epa.gov/egrid) subregions in the continenta...
Studer, D. National Renewable Energy Laboratory
Nov 25, 2014
25 Resources
0 Stars
Publicly accessible

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

NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (2 Percent Slope and Less)

Filtered (2% 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

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

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

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

NREL GIS Data: 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...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

Energy Appliance Data Ceiling Fans

View 2010 energy-use data for ceiling fans. All of the data was submitted by manufacturers under the FTC's [Appliance Labeling Rule](http://ecfr.gpoaccess.gov/cgi/t/text/text-idx?c=ecfr&sid=9f66174f655014be1f845f251ebd2c18&rgn=div5&view=text&node=16:1.0.1.3.29&idno=16). View ...
Twong, . and Www.ftc.gov, E. National Renewable Energy Laboratory
Jul 29, 2014
3 Resources
0 Stars
In curation

Energy Appliance Data Central Air Conditioners 2010

View 2010 energy efficiency data from AeroSys Inc, Coaire, Cold Point, First Operations, LG Electronics, Nordyne, and Quietside manufacturers. Data includes cooling capacity, cooling performance, heating capacity, and heating performance. Spreadsheet was created by combining th...
Twong, . and Www.ftc.gov, E. National Renewable Energy Laboratory
Jul 29, 2014
3 Resources
0 Stars
In curation

Energy Appliance Data Dishwashers

View 2010 energy use data for dishwashers. All of the data was submitted by manufacturers under the FTC's[ Appliance Labeling Rule](http://ecfr.gpoaccess.gov/cgi/t/text/text-idx?c=ecfr&sid=9f66174f655014be1f845f251ebd2c18&rgn=div5&view=text&node=16:1.0.1.3.29&i...
Twong, . and Www.ftc.gov, E. National Renewable Energy Laboratory
Jul 29, 2014
3 Resources
0 Stars
In curation

Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value

Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...
Seel, J. et al Lawrence Berkeley National Lab
Sep 30, 2020
5 Resources
0 Stars
Curated

NREL GIS Data: Continental United States High Resolution Concentrating Solar Power

_Abstract:_ Monthly and annual average solar resource potential for the lower 48 states of the United States of America. _Purpose:_ Provide information on the solar resource potential for the for the lower 48 states of the United States of America. _Supplemental Informatio...
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 (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
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