Yang He , Chun Liang Tan , Jianlin Liu , Mengmeng Dai , Haifeng Cui , Shisheng Chen , Jialei Lu , Zhehua Li , Chaoen Li
{"title":"光伏-绿化系统热行为的实验与模型研究","authors":"Yang He , Chun Liang Tan , Jianlin Liu , Mengmeng Dai , Haifeng Cui , Shisheng Chen , Jialei Lu , Zhehua Li , Chaoen Li","doi":"10.1016/j.scs.2025.106373","DOIUrl":null,"url":null,"abstract":"<div><div>The combination of photovoltaic and greenery (PVG system) has received increasing attention in the city. However, the characteristic of thermal behavior for PVG system has not been fully revealed. Therefore, a field experiment was carried out to compare the local microclimate between PVG system and a lawn. And the results show that PV array cooled the below vegetation up to 2.5 °C in the daytime, but warmed the vegetation up to 0.7 °C at night. Energy balance analysis shows that, under the effect of PV shading, evapotranspiration consumed about 43.8 % of the total heat gain, and followed by longwave radiation (29.5 %) and heat convection (26.7 %). A numerical model considering the multiple thermal interactions between vegetation and PV modules was developed and validated by the measured data. Based on the parametric analysis, it’s found that higher plant species is preferred for PVG system, which has a greater cooling effect than the lawn. And a scenario simulation shows that, among the four factors usually neglected in the existing heat transfer model of PVG system, longwave radiation leads to the most significant error. The conclusions drawn herein could provide reference for the design optimization and energy performance prediction of PVG system.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"126 ","pages":"Article 106373"},"PeriodicalIF":10.5000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An experimental and modeling study of thermal behavior of photovoltaic-greenery system\",\"authors\":\"Yang He , Chun Liang Tan , Jianlin Liu , Mengmeng Dai , Haifeng Cui , Shisheng Chen , Jialei Lu , Zhehua Li , Chaoen Li\",\"doi\":\"10.1016/j.scs.2025.106373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The combination of photovoltaic and greenery (PVG system) has received increasing attention in the city. However, the characteristic of thermal behavior for PVG system has not been fully revealed. Therefore, a field experiment was carried out to compare the local microclimate between PVG system and a lawn. And the results show that PV array cooled the below vegetation up to 2.5 °C in the daytime, but warmed the vegetation up to 0.7 °C at night. Energy balance analysis shows that, under the effect of PV shading, evapotranspiration consumed about 43.8 % of the total heat gain, and followed by longwave radiation (29.5 %) and heat convection (26.7 %). A numerical model considering the multiple thermal interactions between vegetation and PV modules was developed and validated by the measured data. Based on the parametric analysis, it’s found that higher plant species is preferred for PVG system, which has a greater cooling effect than the lawn. And a scenario simulation shows that, among the four factors usually neglected in the existing heat transfer model of PVG system, longwave radiation leads to the most significant error. The conclusions drawn herein could provide reference for the design optimization and energy performance prediction of PVG system.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"126 \",\"pages\":\"Article 106373\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2025-04-18\",\"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/S2210670725002495\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"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/S2210670725002495","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
An experimental and modeling study of thermal behavior of photovoltaic-greenery system
The combination of photovoltaic and greenery (PVG system) has received increasing attention in the city. However, the characteristic of thermal behavior for PVG system has not been fully revealed. Therefore, a field experiment was carried out to compare the local microclimate between PVG system and a lawn. And the results show that PV array cooled the below vegetation up to 2.5 °C in the daytime, but warmed the vegetation up to 0.7 °C at night. Energy balance analysis shows that, under the effect of PV shading, evapotranspiration consumed about 43.8 % of the total heat gain, and followed by longwave radiation (29.5 %) and heat convection (26.7 %). A numerical model considering the multiple thermal interactions between vegetation and PV modules was developed and validated by the measured data. Based on the parametric analysis, it’s found that higher plant species is preferred for PVG system, which has a greater cooling effect than the lawn. And a scenario simulation shows that, among the four factors usually neglected in the existing heat transfer model of PVG system, longwave radiation leads to the most significant error. The conclusions drawn herein could provide reference for the design optimization and energy performance prediction of PVG system.
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;