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Simplified Space Conditioning in Low-Load Homes

TO3 2.1.6: Simplified Space Conditioning IBACOS anticipates that houses achieving 50% whole-house source energy savings with respect to the Building America 2010 Benchmark (Hendron and Engebrecht 2010a) will be considered "low load." Low load is defined by IBACOS as a house with ...

Poerschke, A. and Stecher, D. Ibacos Innovation

Apr 27, 2016
2 Resources
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EcoVillage: A Net Zero Energy Ready Community Ithaca Crawlspace

The U.S. Department of Energy's (DOE) Building America team, Consortium for Residential Buildings (CARB), is working with the EcoVillage cohousing community in Ithaca, New York, on the Third Residential EcoVillage Experience neighborhood. This community-scale project consists of 4...

Arena, L. et al Steven Winter Associates of the Consortium for Advanced Residential Buildings

Apr 27, 2016
3 Resources
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SMART-DS Synthetic Electrical Network Data OpenDSS Models for SFO, GSO, and AUS

The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the data...

Palmintier, B. et al National Renewable Energy Laboratory (NREL)

Dec 18, 2020
5 Resources
1 Stars
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Evaluating an Exterior Insulation and Finish System for Deep Energy Retrofits

This report provides a case study of a deep energy retrofit using a site-applied exterior insulation and finish system (EIFS). Prefabricated EIFS panels are also discussed as a potential wall insulation retrofit solution. EIFSs are common in new and retrofit commercial constructio...

Dentz, J. and Podorson, D. The Levy Partnership, Inc Systems Building Research Alliance

Apr 27, 2016
2 Resources
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Land of Opportunity: Geothermal, Land-based Wind, and Solar PV Potential on Federal Lands

This data packet contains supply curves and a composite siting exclusion TIFF for geothermal, land-based wind, and solar PV across the contiguous United States with specific consideration on federal lands. The supply curves offer comprehensive metrics such as capacity (MW) for eac...

Geospatial, N. National Renewable Energy Laboratory

Jan 01, 2025
28 Resources
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Photovoltaic Module Current-Voltage and Electroluminescence Image Data (PV-IV-EL)

This dataset consists of 613 sets of corresponding current-voltage trace (IV) flash test data and electroluminescence (EL) image data for commercial PV modules from the Photovoltaic Systems Evaluation Laboratory at Sandia National Laboratories. PV modules are from fielded systems ...

Byford, B. et al Sandia National Laboratories

Dec 15, 2015
5 Resources
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Lancaster County Career and Technology Center (LCCTC) Green Homes

With the support of the U.S. Department of Energy (DOE) Building America Program, Home Innovation Research Labs partnered with Lancaster County Career and Technology Center (LCCTC) to build a third new construction test house (NCTH) in Apprentice Green, a community next to the sch...

Kochkin, V. et al Home Innovation Research Labs National Association of Home Builders

Apr 27, 2016
3 Resources
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United States Offshore Wind Supply Curves 2024

This data packet contains supply curves, hourly generation profiles, and composite siting exclusion TIFFs for offshore wind (OSW) in the waters of the EEZ off the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), level...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
15 Resources
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Altered Rotokawa Andesite Thermal Treatment Petrophysics

Physical property data for transitory heating of altered Rotokawa andesite under saturated conditions at 20 MPa pressure. "M" samples are moderately altered, and "H" samples are highly altered. White-background columns depict pre-treatment data. Grey-background columns depict post...

Kennedy, B. National Renewable Energy Laboratory

Aug 20, 2019
1 Resources
0 Stars
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Solar PV Transmission Setbacks: Ordinances (2022) and Extrapolated Trends

This dataset represents solar energy setback requirements from transmission. A setback requirement is a minimum distance from transmission infrastructure that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are ...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
3 Resources
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Solar PV Oil and Gas Pipeline Setbacks: Ordinances (2022) and Extrapolated Trends

This dataset represents solar energy setback requirements from oil and gas pipelines. A setback requirement is a minimum distance from a pipeline that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are likely t...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
3 Resources
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Solar PV Railroad Setbacks: Ordinances (2022) and Extrapolated Trends

This dataset represents solar energy setback requirements from railroads. A setback requirement is a minimum distance from a railroad that an energy project may be developed. As of April 2022, no ordinances were discovered for any counties. Such ordinances are likely to arise as r...

Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)

Jan 01, 2024
3 Resources
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Altona Well Field 222Rn Data

Field data and 222Rn activities from the Altona well field. 222Rn, the most stable isotope of radon, was tested for during well extraction experiments. Tracers were also tracked to monitor the well. Data include 222Rn activities and complimentary geochemical data for multiple fiel...

Brown, S. Lawrence Berkeley National Laboratory

Mar 08, 2017
1 Resources
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Kansas High Resolution Wind Resource

A shapefile of annual average wind resource potential for Kansas, United States at a 50 meter height. This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shape...

Langle, N. and Heimiller, D. National Renewable Energy Laboratory