Insolation model from LiDAR-derived topographical surface models

This paper intent to investigate the relationship of topographic elements and its effect on incoming solar radiation (insolation) value based on topographical surface model derived from LiDAR data and highlights on the comparison of DSM and DTM insolation value for direct, diffuse and global irradia...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:ICSET 2018 - 2018 IEEE 8th International Conference on System Engineering and Technology, Proceedings
المؤلف الرئيسي: 2-s2.0-85062349716
التنسيق: Conference paper
اللغة:English
منشور في: Institute of Electrical and Electronics Engineers Inc. 2018
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062349716&doi=10.1109%2fICSEngT.2018.8606393&partnerID=40&md5=98d4e5e67af3248c446b4b4e747e43f4
الوصف
الملخص:This paper intent to investigate the relationship of topographic elements and its effect on incoming solar radiation (insolation) value based on topographical surface model derived from LiDAR data and highlights on the comparison of DSM and DTM insolation value for direct, diffuse and global irradiance of the study area. The insolation is expected to somehow change in regard to the initial solar energy due to the differing surface types and materials. Modelling the pattern of insolation of the Sun's rays as it interacts with the Earth's atmosphere, surface, and its objects is thus vital for many applications including in the context of green building technology concept. In this study, to reconstruct the surface models that represent the surface, high resolution airborne LiDAR datasets were used to produce the DTM and DSMs. The reliability of these models was verified accordingly. The derived products were further structured as TIN and topographic analysis as well as modelling was performed within ArcGIS environment. Models of irradiance were derived and distinguished based on the direct, diffuse and global irradiance. Then, pattern correspond to the topographical elements was determined and the results were discussed. © 2018 IEEE.
تدمد:
DOI:10.1109/ICSEngT.2018.8606393