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

Melius, J. ; Margolis, R. ; Ong, S.

National Renewable Energy Laboratory (U.S.)

关键词: 14 Solar Energy Rooftop;    Orientation;    Gis;    Rooftop;    Pv;   

DOI  :  10.2172/1117057
RP-ID  :  NREL/TP-6A20-60593
RP-ID  :  AC36-08GO28308
RP-ID  :  1117057

美国|英语

来源: UNT Digital Library

【 摘 要 】

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.