Abstract: The increasing demand for renewable energy solutions has emphasized the need for efficient rooftop solar photovoltaic (PV) system assessment in urban areas. This study integrates geographic Information System (GIS) and Remote Sensing techniques to evaluate the solar potential of government buildings in a municipal ward pf Udaipur. The methodology includes ward boundary and rooftop boundary digitization using Google Earth Imagery & the height of buildings was measured in Ruler tool, followed by the Extraction of Digital Surface Model (DSM) data from NASA sources. Solar insolation analysis is conducted in SAGA GIS to identify the most suitable rooftop for solar panel installation. Additionally existing solar panel are mapped, and optimal locations for new installations are proposed using Helioscope software, considering factors such as panel tilt, azimuth angle, and energy generation capacity. The study provides a comprehensive framework for urban solar suitability mapping.

Keywords: GIS, Remote Sensing, Digital Surface Model, Rooftop Photovoltaic, Helioscope

Downloads: | DOI: 10.17148/IJIREEICE.2025.131021