Xusong Tian, Yalan Yin, Jiawei Wang, Fujian Jiang, Wenhui Ji, Jinzhi Zhou
{"title":"屋顶光伏阵列对流换热不均匀分布特性及校正研究","authors":"Xusong Tian, Yalan Yin, Jiawei Wang, Fujian Jiang, Wenhui Ji, Jinzhi Zhou","doi":"10.1016/j.seta.2025.104571","DOIUrl":null,"url":null,"abstract":"<div><div>Due to the wind shielding effect, the convective heat transfer coefficient (CHTC) exhibits a non-uniform distribution across different regions of the rooftop photovoltaic (PV) array. However, existing calculation correlations for CHTC neglected this effect, which may lead to significant errors in predicting the heat transfer and power conversion efficiency (PCE) of the PV array. Therefore, based on the generalized form of Newton’s law of cooling and the validated simulation model, this study conducted numerical investigations under hundreds of test conditions, corrected existing calculation correlations, and compared the prediction accuracy between existing calculation correlations and corrected calculation correlations. Finally, an optimal layout scheme for the rooftop PV array was proposed. The main research results are as follows: (1) Corrected calculation correlations comprehensively account for the effects of installation height, tilt angle, and other critical parameters on the CHTC, and achieve coefficients of determination of no less than 0.8237; (2) Existing calculation correlations exhibit significant prediction deviations exceeding 50 % for PV array temperatures, while corrected calculation correlations achieve substantially improved accuracy with an average deviation of approximately 20 %; (3) Installation height shows the dominant influence on the PV array’s PCE, followed by row spacing, where increasing both parameters enhances airflow to reduce module operating temperatures and consequently improve PCE. The above research findings provide practical guidance for engineering projects and can facilitate the widespread adoption of rooftop PV systems.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104571"},"PeriodicalIF":7.0000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on non-uniform distribution characteristic and correction of convective heat transfer in the rooftop photovoltaic array\",\"authors\":\"Xusong Tian, Yalan Yin, Jiawei Wang, Fujian Jiang, Wenhui Ji, Jinzhi Zhou\",\"doi\":\"10.1016/j.seta.2025.104571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Due to the wind shielding effect, the convective heat transfer coefficient (CHTC) exhibits a non-uniform distribution across different regions of the rooftop photovoltaic (PV) array. However, existing calculation correlations for CHTC neglected this effect, which may lead to significant errors in predicting the heat transfer and power conversion efficiency (PCE) of the PV array. Therefore, based on the generalized form of Newton’s law of cooling and the validated simulation model, this study conducted numerical investigations under hundreds of test conditions, corrected existing calculation correlations, and compared the prediction accuracy between existing calculation correlations and corrected calculation correlations. Finally, an optimal layout scheme for the rooftop PV array was proposed. The main research results are as follows: (1) Corrected calculation correlations comprehensively account for the effects of installation height, tilt angle, and other critical parameters on the CHTC, and achieve coefficients of determination of no less than 0.8237; (2) Existing calculation correlations exhibit significant prediction deviations exceeding 50 % for PV array temperatures, while corrected calculation correlations achieve substantially improved accuracy with an average deviation of approximately 20 %; (3) Installation height shows the dominant influence on the PV array’s PCE, followed by row spacing, where increasing both parameters enhances airflow to reduce module operating temperatures and consequently improve PCE. The above research findings provide practical guidance for engineering projects and can facilitate the widespread adoption of rooftop PV systems.</div></div>\",\"PeriodicalId\":56019,\"journal\":{\"name\":\"Sustainable Energy Technologies and Assessments\",\"volume\":\"83 \",\"pages\":\"Article 104571\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Energy Technologies and Assessments\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213138825004023\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138825004023","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Research on non-uniform distribution characteristic and correction of convective heat transfer in the rooftop photovoltaic array
Due to the wind shielding effect, the convective heat transfer coefficient (CHTC) exhibits a non-uniform distribution across different regions of the rooftop photovoltaic (PV) array. However, existing calculation correlations for CHTC neglected this effect, which may lead to significant errors in predicting the heat transfer and power conversion efficiency (PCE) of the PV array. Therefore, based on the generalized form of Newton’s law of cooling and the validated simulation model, this study conducted numerical investigations under hundreds of test conditions, corrected existing calculation correlations, and compared the prediction accuracy between existing calculation correlations and corrected calculation correlations. Finally, an optimal layout scheme for the rooftop PV array was proposed. The main research results are as follows: (1) Corrected calculation correlations comprehensively account for the effects of installation height, tilt angle, and other critical parameters on the CHTC, and achieve coefficients of determination of no less than 0.8237; (2) Existing calculation correlations exhibit significant prediction deviations exceeding 50 % for PV array temperatures, while corrected calculation correlations achieve substantially improved accuracy with an average deviation of approximately 20 %; (3) Installation height shows the dominant influence on the PV array’s PCE, followed by row spacing, where increasing both parameters enhances airflow to reduce module operating temperatures and consequently improve PCE. The above research findings provide practical guidance for engineering projects and can facilitate the widespread adoption of rooftop PV systems.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.