2 datasets found
  1. PV Rooftop Database

    • data.openei.org
    • osti.gov
    • +1more
    code, data, website
    Updated Jan 1, 2016
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    Meghan Mooney; Meghan Mooney (2016). PV Rooftop Database [Dataset]. http://doi.org/10.25984/1784725
    Explore at:
    data, website, codeAvailable download formats
    Dataset updated
    Jan 1, 2016
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    National Renewable Energy Laboratory (NREL)
    Open Energy Data Initiative (OEDI)
    Authors
    Meghan Mooney; Meghan Mooney
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The National Renewable Energy Laboratory's (NREL) Photovoltaic (PV) Rooftop Database (PVRDB) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for 128 metropolitan regions in the United States. The PVRDB data are organized by city and year of lidar collection. Five geospatial layers are available for each city and year: 1) the raster extent of the lidar collection, 2) buildings identified from the lidar data, 3) suitable developable planes for each building, 4) aspect values of the developable planes, and 5) the technical potential estimates of the developable planes.

  2. o

    Data from: PV Rooftop Database

    • openenergyhub.ornl.gov
    Updated Dec 31, 2023
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    (2023). PV Rooftop Database [Dataset]. https://openenergyhub.ornl.gov/explore/dataset/pv-rooftop-database/
    Explore at:
    Dataset updated
    Dec 31, 2023
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Note: Find data at source. ・ The National Renewable Energy Laboratory's (NREL) Photovoltaic (PV) Rooftop Database (PVRDB) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for 128 metropolitan regions in the United States. The PVRDB data are organized by city and year of lidar collection. Five geospatial layers are available for each city and year: 1) the raster extent of the lidar collection, 2) buildings identified from the lidar data, 3) suitable developable planes for each building, 4) aspect values of the developable planes, and 5) the technical potential estimates of the developable planes.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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Meghan Mooney; Meghan Mooney (2016). PV Rooftop Database [Dataset]. http://doi.org/10.25984/1784725
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PV Rooftop Database

Explore at:
169 scholarly articles cite this dataset (View in Google Scholar)
data, website, codeAvailable download formats
Dataset updated
Jan 1, 2016
Dataset provided by
United States Department of Energyhttp://energy.gov/
National Renewable Energy Laboratory (NREL)
Open Energy Data Initiative (OEDI)
Authors
Meghan Mooney; Meghan Mooney
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The National Renewable Energy Laboratory's (NREL) Photovoltaic (PV) Rooftop Database (PVRDB) is a lidar-derived, geospatially-resolved dataset of suitable roof surfaces and their PV technical potential for 128 metropolitan regions in the United States. The PVRDB data are organized by city and year of lidar collection. Five geospatial layers are available for each city and year: 1) the raster extent of the lidar collection, 2) buildings identified from the lidar data, 3) suitable developable planes for each building, 4) aspect values of the developable planes, and 5) the technical potential estimates of the developable planes.

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