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LiDAR & Solar PV Suitability: Atlantic City, New Jersey
The purpose of this work is to present alternative methods for siting solar photovoltaics. The current methods for most projects includes time consuming in situ measurements of available space, solar, and roof conditions. The research shown here highlights the potential for the use of sensing techniques that utilize Light Detection and Ranging (LiDAR), and Oblique Imagery to gain siting information remotely. When this data is available, assessment time and costs are reduced. This information can be used in project planning and design, as well as policy development.
MACURISA (Mid_Atlantic Chapter of the Urban and Regional Information Systems Association) in October 2018 Burlington County GIS day in November 2018.
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Spatiotemporal Analysis of Grid Supply Photovoltaics in New Jersey
Understanding where renewable energy projects are located is important for successful management and promotion of clean energy. This research determines the spatial distribution of Grid Supply Solar Photovoltaic Systems in New Jersey, investigates system efficiency over time, and uses LiDAR to examine an installed Grid Supply PV System.
As a winning map in the 2018 NJDEP GIS Mapping contest it was sent to ESRI’s International User Conference in Sand Diego (July 9-13, 2018) and was on display in the Map Gallery.
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