Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques

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A number of methods have been developed using remote sensing data to estimate rooftop area suitable for the installation of photovoltaics (PV) at various geospatial resolutions. This report reviews the literature and patents on methods for estimating rooftop-area appropriate for PV, including constant-value methods, manual selection methods, and GIS-based methods. This report also presents NREL's proposed method for estimating suitable rooftop area for PV using Light Detection and Ranging (LiDAR) data in conjunction with a GIS model to predict areas with appropriate slope, orientation, and sunlight. NREL's method is validated against solar installation data from New Jersey, Colorado, and California ... continued below

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35 p.

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Melius, J.; Margolis, R. & Ong, S. December 1, 2013.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 18 times , with 4 in the last month . More information about this report can be viewed below.

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Description

A number of methods have been developed using remote sensing data to estimate rooftop area suitable for the installation of photovoltaics (PV) at various geospatial resolutions. This report reviews the literature and patents on methods for estimating rooftop-area appropriate for PV, including constant-value methods, manual selection methods, and GIS-based methods. This report also presents NREL's proposed method for estimating suitable rooftop area for PV using Light Detection and Ranging (LiDAR) data in conjunction with a GIS model to predict areas with appropriate slope, orientation, and sunlight. NREL's method is validated against solar installation data from New Jersey, Colorado, and California to compare modeled results to actual on-the-ground measurements.

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35 p.

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  • Report No.: NREL/TP-6A20-60593
  • Grant Number: AC36-08GO28308
  • DOI: 10.2172/1117057 | External Link
  • Office of Scientific & Technical Information Report Number: 1117057
  • Archival Resource Key: ark:/67531/metadc866924

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  • December 1, 2013

Added to The UNT Digital Library

  • Sept. 16, 2016, 12:32 a.m.

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  • April 5, 2017, 6:31 p.m.

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Melius, J.; Margolis, R. & Ong, S. Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques, report, December 1, 2013; Golden, Colorado. (digital.library.unt.edu/ark:/67531/metadc866924/: accessed August 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.