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Title: PV Rooftop Database

Abstract

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.

Authors:

  1. National Renewable Energy Laboratory (NREL)
Publication Date:
Other Number(s):
4
Research Org.:
DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory (NREL)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)
Collaborations:
National Renewable Energy Laboratory (NREL)
Subject:
Array; GIS; NREL; NSRDB; PV; PVRDB; aspect; building; developable; developable planes; energy; geospatial data; infrastructure; installations; lidar; photovoltaics; plane; power; raster; roof; rooftop; solar
OSTI Identifier:
1784725
DOI:
https://doi.org/10.25984/1784725

Citation Formats

Mooney, Meghan. PV Rooftop Database. United States: N. p., 2016. Web. doi:10.25984/1784725.
Mooney, Meghan. PV Rooftop Database. United States. doi:https://doi.org/10.25984/1784725
Mooney, Meghan. 2016. "PV Rooftop Database". United States. doi:https://doi.org/10.25984/1784725. https://www.osti.gov/servlets/purl/1784725. Pub date:Fri Jan 01 04:00:00 UTC 2016
@article{osti_1784725,
title = {PV Rooftop Database},
author = {Mooney, Meghan},
abstractNote = {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.},
doi = {10.25984/1784725},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 04:00:00 UTC 2016},
month = {Fri Jan 01 04:00:00 UTC 2016}
}