A real scene 3D Model-Driven sunlight analysis method for complex building roofs
journal contribution
posted on 2024-12-16, 16:33authored byJinghai Xu, Mengxuan Qi, Haoran Jing, Craig HancockCraig Hancock, Peng Qiao, Nan Shen
A real-scene 3D model of complex buildings, derived from UAV (Unmanned Aerial Vehicle) surveys, can significantly improve the accuracy of sunlight analysis for the arrangement of photovoltaic panels. We propose a method for sunlight analysis of complex building roofs driven by the real-scene 3D model, which includes generating and optimizing the 3D model and a parameterized sunlight analysis algorithm. The generation and optimization method involves: reducing the number of model meshes by selecting a lower level of detail and proposing a mesh simplification algorithm to simplify the model; reconstructing the structure of the model meshes to smooth them and solve the pseudo-occlusion problems caused by the model's triangular structures by transforming triangular meshes into quadrilateral meshes; improving the accuracy of the obstacles’ 3D models on the roof by completing high-precision obstacle modeling and superimposing it on the simplified model. Subsequently, a parameterized sunlight analysis algorithm suited to the optimized 3D model is presented based on the Grasshopper parameterized software platform. We design a complete set of sunlight analysis algorithm programs by exploring the geographical location, time range, time step, and other parameters of the real-scene 3D model. Finally, the method's feasibility is verified through a case study of a complex building.
Funding
The National Natural Science Foundation of China (Grant No. 42271420)
Natural Science Foundation of Jiangsu Province (Grant No. BK20220367)
Science and Technology Plan Project of the Ministry of Housing and Urban-Rural Development of China (Grant No. 2022-K-041)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).