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Gagnon_2018_Environ._Res._Lett._13_024027.pdf 2,25MB
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1000 Titel
  • Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling
1000 Autor/in
  1. Gagnon, Pieter |
  2. Margolis, Robert |
  3. Melius, Jennifer |
  4. Phillips, Caleb |
  5. Elmore, Ryan |
1000 Erscheinungsjahr 2018
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-02-13
1000 Erschienen in
1000 Quellenangabe
  • 13(2):024027
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1088/1748-9326/aaa554 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • We provide a detailed estimate of the technical potential of rooftop solar photovoltaic (PV) electricity generation throughout the contiguous United States. This national estimate is based on an analysis of select US cities that combines light detection and ranging (lidar) data with a validated analytical method for determining rooftop PV suitability employing geographic information systems. We use statistical models to extend this analysis to estimate the quantity and characteristics of roofs in areas not covered by lidar data. Finally, we model PV generation for all rooftops to yield technical potential estimates. At the national level, 8.13 billion m2 of suitable roof area could host 1118 GW of PV capacity, generating 1432 TWh of electricity per year. This would equate to 38.6% of the electricity that was sold in the contiguous United States in 2013. This estimate is substantially higher than a previous estimate made by the National Renewable Energy Laboratory. The difference can be attributed to increases in PV module power density, improved estimation of building suitability, higher estimates of total number of buildings, and improvements in PV performance simulation tools that previously tended to underestimate productivity. Also notable, the nationwide percentage of buildings suitable for at least some PV deployment is high—82% for buildings smaller than 5000 ft2 and over 99% for buildings larger than that. In most states, rooftop PV could enable small, mostly residential buildings to offset the majority of average household electricity consumption. Even in some states with a relatively poor solar resource, such as those in the Northeast, the residential sector has the potential to offset around 100% of its total electricity consumption with rooftop PV.
1000 Sacherschließung
lokal technical potential
lokal GIS
lokal lidar
lokal solar
lokal energy
lokal photovoltaics
lokal rooftop
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4006-1719|https://frl.publisso.de/adhoc/uri/TWFyZ29saXMsIFJvYmVydA==|https://frl.publisso.de/adhoc/uri/TWVsaXVzLCBKZW5uaWZlcg==|https://frl.publisso.de/adhoc/uri/UGhpbGxpcHMsIENhbGVi|https://frl.publisso.de/adhoc/uri/RWxtb3JlLCBSeWFu
1000 Label
1000 Förderer
  1. U.S. Department of Energy |
1000 Fördernummer
  1. DE-AC36-08GO28308
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer U.S. Department of Energy |
    1000 Förderprogramm -
    1000 Fördernummer DE-AC36-08GO28308
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6418962.rdf
1000 Erstellt am 2020-02-12T15:10:47.270+0100
1000 Erstellt von 218
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1000 Zuletzt bearbeitet 2020-02-12T15:12:00.608+0100
1000 Objekt bearb. Wed Feb 12 15:11:26 CET 2020
1000 Vgl. frl:6418962
1000 Oai Id
  1. oai:frl.publisso.de:frl:6418962 |
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