Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques
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.
- Publication Date:
- OSTI Identifier:
- Report Number(s):
- DOE Contract Number:
- Resource Type:
- Technical Report
- Research Org:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- Country of Publication:
- United States
- 14 SOLAR ENERGY ROOFTOP; SOLAR; PHOTOVOLTAICS; PV; GEOGRAPHIC INFORMATION SYSTEMS; GIS; SLOPE; ASPECT; ORIENTATION; SUNLIGHT; HILLSHADE; LIDAR; Energy Analysis; Solar Energy - Photovoltaics
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