{"title":"中国住宅小区太阳辐射模拟的标准化建模方法","authors":"Zhengrong Li , Chenliang Ma , Heyu Wang","doi":"10.1016/j.scs.2025.106186","DOIUrl":null,"url":null,"abstract":"<div><div>High-rise and high-density urban housing developments affect solar radiation dissipation, leading to heat accumulation and poor micro-environment quality, especially in high-latitude regions. Numerical simulation is a widely adopted method to study this phenomenon. However, inconsistencies in the selection and description of building model details across different studies can influence simulation results, thereby compromising the general applicability of research conclusions. This study identifies key building details that significantly influence simulation results and develops mathematical models (CLT, BLF, TPM, and RGD) to describe them uniformly and accurately. We propose a standardized modeling method for residential buildings in China, including detailed procedures and parameter formats. Results indicate that building shape, layout, facade (openings for doors and windows), and ground (distribution of roads and green space) are critical factors to consider in solar radiation simulation. The standardized model closely matches real building cases, with relative errors in footprint area, area ratio of window to wall, and road length under 5 %, and geometric deviations of building plan outlines, facade openings, and road centerlines under 0.3m. This method ensures interoperability of models across different simulation studies, facilitating further research, cross-validation, and improving the generalizability of conclusions.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106186"},"PeriodicalIF":13.3000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A standardized modeling method for Chinese residential building clusters in solar radiation simulation\",\"authors\":\"Zhengrong Li , Chenliang Ma , Heyu Wang\",\"doi\":\"10.1016/j.scs.2025.106186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>High-rise and high-density urban housing developments affect solar radiation dissipation, leading to heat accumulation and poor micro-environment quality, especially in high-latitude regions. Numerical simulation is a widely adopted method to study this phenomenon. However, inconsistencies in the selection and description of building model details across different studies can influence simulation results, thereby compromising the general applicability of research conclusions. This study identifies key building details that significantly influence simulation results and develops mathematical models (CLT, BLF, TPM, and RGD) to describe them uniformly and accurately. We propose a standardized modeling method for residential buildings in China, including detailed procedures and parameter formats. Results indicate that building shape, layout, facade (openings for doors and windows), and ground (distribution of roads and green space) are critical factors to consider in solar radiation simulation. The standardized model closely matches real building cases, with relative errors in footprint area, area ratio of window to wall, and road length under 5 %, and geometric deviations of building plan outlines, facade openings, and road centerlines under 0.3m. This method ensures interoperability of models across different simulation studies, facilitating further research, cross-validation, and improving the generalizability of conclusions.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"121 \",\"pages\":\"Article 106186\"},\"PeriodicalIF\":13.3000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Cities and Society\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210670725000642\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/4 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670725000642","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/4 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
A standardized modeling method for Chinese residential building clusters in solar radiation simulation
High-rise and high-density urban housing developments affect solar radiation dissipation, leading to heat accumulation and poor micro-environment quality, especially in high-latitude regions. Numerical simulation is a widely adopted method to study this phenomenon. However, inconsistencies in the selection and description of building model details across different studies can influence simulation results, thereby compromising the general applicability of research conclusions. This study identifies key building details that significantly influence simulation results and develops mathematical models (CLT, BLF, TPM, and RGD) to describe them uniformly and accurately. We propose a standardized modeling method for residential buildings in China, including detailed procedures and parameter formats. Results indicate that building shape, layout, facade (openings for doors and windows), and ground (distribution of roads and green space) are critical factors to consider in solar radiation simulation. The standardized model closely matches real building cases, with relative errors in footprint area, area ratio of window to wall, and road length under 5 %, and geometric deviations of building plan outlines, facade openings, and road centerlines under 0.3m. This method ensures interoperability of models across different simulation studies, facilitating further research, cross-validation, and improving the generalizability of conclusions.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;