Comparison of Two Solar Potential Methods on Rooftops Using LIDAR Data

This paper presents a comprehensive assessment of roohop solar potential in the urban environment of Karlovac, Croatia, using LIDAR (Light Detection and Ranging) data. In the midst of increasing demand for sustainable energy solutions, roohop photovoltaic systems offer a promising opportunity for decentralized energy generation. However, their efficient use requires precise estimation of solar potential at high spatial resolution. This study uses LIDAR data together with Geographic Information System (GIS) techniques to assess the viability of roohop photovoltaic systems. The methodology involves processing data from LIDAR-derived digital surface models (DSMs) with various sohware tools to derive key roof characteristics such as slope and orientation. Solar radiation data is then integrated to estimate the solar energy potential of each roof. A GIS analysis is then carried out to visualize and interpret the spatial distribution of solar potential in the study area. Preliminary results show that the solar potential on the individual roofs varies considerably due to differences in orientation and inclination. In addition, the study highlights the impact of urban morphology on the accessibility of solar installations. The results provide valuable insights for urban planners, policy makers and energy stakeholders interested in promoting the use of renewable energy and optimizing urban energy infrastructure. In summary, this study underlines the usefulness of LIDAR data in combination with GIS analysis for the assessment of roohop solar potential and thus provides an important guidance for sustainable urban energy planning in Karlovac, Croatia, and similar areas worldwide.