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Author Prasanna, Ashreeta, author.

Title Parcel-scale assessment of rooftop solar technical potential / Ashreeta Prasanna, Ben Sigrin, Kevin McCabe.

Publication Info. [Golden, Colo.] : National Renewable Energy Laboratory, [2021?]

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Description 1 online resource (18 pages) : color illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series NREL/PR ; 7A40-80780
NREL/PR ; 7A40-80780.
Bibliography Includes bibliographical references (page 17).
Funding Sponsored by the U.S. Department of Energy DE-AC36-08GO28308
Summary Understanding the potential for rooftop solar and other distributed energy resources (DERs) to contribute to power system planning is increasingly relevant for cities, utilities, and other planning entities. Such planning efforts typically require an estimate of technical potential, or the feasible technology potential independent of economic considerations. Currently, best-in-class rooftop solar technical potential methods use Light Detection and Ranging (LiDAR) data which can identify each roof plane tilt, azimuth, and unshaded area. However, LiDAR data is not universally available and, even when available, obtaining and processing this data can be expensive. In contrast, parcel-level data is easy to use and widely available as it is generated by jurisdictions to levy property taxes. Such data universally reports building footprint area, which is highly correlated with roof area suitable (developable) for rooftop solar. Moreover, parcel data identifies building end-use, tenure, and other building characteristics not provided by LiDAR. To explore the feasibility of using parcel data to assess technical potential more broadly, we compare estimates using parcel data in Orlando, Florida (HIFLD 2020) to those generated using LiDAR data (Koebrich et al. 2021). We find that the parcel-based method results in accurate technical potential estimates at a block and city-scale, though only after accounting for shading and other factors that derate developable roof area. The results of this study demonstrate a scalable, low-effort approach to assess rooftop solar technical potential for every city and community in the U.S.
Subject Building-integrated photovoltaic systems -- United States.
Feasibility studies -- United States -- Methodology.
Orlando (Fla.) -- Buildings, structures, etc.
Roofs -- Environmental aspects -- United States.
Électrification photovoltaïque -- États-Unis.
Études de faisabilité -- États-Unis -- Méthodologie.
Toits -- Aspect de l'environnement -- États-Unis.
Building-integrated photovoltaic systems
Buildings
Florida -- Orlando https://id.oclc.org/worldcat/entity/E39PBJbCJWfxv4KWmqjyXbDXh3
United States https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
Indexed Term census blocks
LiDAR
parcels
rooftop PV
solar techncial potential
Added Author Sigrin, Benjamin, author.
McCabe, Kevin (Of the National Renewable Energy Laboratory), author.
National Renewable Energy Laboratory (U.S.), issuing body.
United States. Department of Energy, sponsoring body.
Standard No. 1832227 OSTI ID
0000-0003-1459-9889
0000-0001-9127-2674
Gpo Item No. 0430-P-09 (online)
Sudoc No. E 9.22:NREL/PR-7 A 40-80780

 
    
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