A real scene 3D Model-Driven sunlight analysis method for complex building roofs

IF 6.6 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Energy and Buildings Pub Date : 2024-11-13 DOI:10.1016/j.enbuild.2024.115051

Jinghai Xu , Mengxuan Qi , Haoran Jing , Craig Hancock , Peng Qiao , Nan Shen

{"title":"A real scene 3D Model-Driven sunlight analysis method for complex building roofs","authors":"Jinghai Xu , Mengxuan Qi , Haoran Jing , Craig Hancock , Peng Qiao , Nan Shen","doi":"10.1016/j.enbuild.2024.115051","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":11641,"journal":{"name":"Energy and Buildings","volume":"325 ","pages":"Article 115051"},"PeriodicalIF":6.6000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy and Buildings","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378778824011678","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

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.

查看原文本刊更多论文

针对复杂建筑屋顶的真实场景三维模型驱动日照分析方法

通过无人飞行器（UAV）勘测获得的复杂建筑实景三维模型可显著提高光伏电池板布置的日照分析精度。我们提出了一种由实景三维模型驱动的复杂建筑屋顶日照分析方法，包括生成和优化三维模型以及参数化日照分析算法。生成和优化方法包括：通过选择较低的细节级别来减少模型网格的数量，并提出网格简化算法来简化模型；通过将三角形网格转化为四边形网格来重构模型网格结构，使其平滑，并解决模型三角形结构带来的伪闭塞问题；通过完成高精度障碍物建模并将其叠加到简化模型上，提高屋顶上障碍物三维模型的精度。随后，基于 Grasshopper 参数化软件平台，提出了适合优化后三维模型的参数化日照分析算法。通过探索真实场景三维模型的地理位置、时间范围、时间步长等参数，我们设计了一套完整的日照分析算法程序。最后，通过一个复杂建筑的案例研究验证了该方法的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Energy and Buildings 工程技术-工程：土木

CiteScore

12.70

自引率

11.90%

发文量

863

审稿时长

38 days

期刊介绍： An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.