Exploring the seasonal impact of photovoltaic roofs on urban land surface temperature under different urban spatial forms

IF 9 1区 工程技术 Q1 ENERGY & FUELS
Zhan Pan , Lefeng Zhang , Linxin Dong , Wei Xu , Guorong Li , Yuan Yuan , Congxiao Wang , Bailang Yu
{"title":"Exploring the seasonal impact of photovoltaic roofs on urban land surface temperature under different urban spatial forms","authors":"Zhan Pan ,&nbsp;Lefeng Zhang ,&nbsp;Linxin Dong ,&nbsp;Wei Xu ,&nbsp;Guorong Li ,&nbsp;Yuan Yuan ,&nbsp;Congxiao Wang ,&nbsp;Bailang Yu","doi":"10.1016/j.renene.2025.122724","DOIUrl":null,"url":null,"abstract":"<div><div>Photovoltaic roofs (PVRs) are commonly used to reduce urban carbon emissions for improving urban sustainability. However, their potential impact on the urban thermal environment (<span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span>) remains ambiguous, varying across urban spatial forms and seasons. Based on Amsterdam's local climate zone (LCZ) map, this study aimed to employ remote sensing and geographic information system technology to evaluate the seasonal <span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span>. Correlation analysis was used to explore the relationships between urban spatial metrics and the <span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span>. The results indicated <span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span> exhibited significant variations across seasons and LCZs. The warming effect was most significant in LCZ 5 during spring and LCZ 6 in autumn, whereas the cooling effect was strongest in LCZ 5 during summer and LCZ 8 in winter. In spring and autumn, higher building density and built-up areas intensified the warming effect of PVRs in LCZ 5, LCZ 6, and LCZ 8, whereas greenspace mitigated this effect. According to <span><math><mrow><msub><mi>I</mi><mrow><mi>P</mi><mi>V</mi><mi>R</mi></mrow></msub></mrow></math></span> performance and the its relationship with urban spatial metrics, a cross-scale planning framework is proposed—from prioritizing city-scale implementation areas to specifying building-scale installation locations—to optimize PVR deployment and align renewable energy use with thermal environment improvement.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"244 ","pages":"Article 122724"},"PeriodicalIF":9.0000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960148125003866","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

Photovoltaic roofs (PVRs) are commonly used to reduce urban carbon emissions for improving urban sustainability. However, their potential impact on the urban thermal environment (IPVR) remains ambiguous, varying across urban spatial forms and seasons. Based on Amsterdam's local climate zone (LCZ) map, this study aimed to employ remote sensing and geographic information system technology to evaluate the seasonal IPVR. Correlation analysis was used to explore the relationships between urban spatial metrics and the IPVR. The results indicated IPVR exhibited significant variations across seasons and LCZs. The warming effect was most significant in LCZ 5 during spring and LCZ 6 in autumn, whereas the cooling effect was strongest in LCZ 5 during summer and LCZ 8 in winter. In spring and autumn, higher building density and built-up areas intensified the warming effect of PVRs in LCZ 5, LCZ 6, and LCZ 8, whereas greenspace mitigated this effect. According to IPVR performance and the its relationship with urban spatial metrics, a cross-scale planning framework is proposed—from prioritizing city-scale implementation areas to specifying building-scale installation locations—to optimize PVR deployment and align renewable energy use with thermal environment improvement.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Renewable Energy
Renewable Energy 工程技术-能源与燃料
CiteScore
18.40
自引率
9.20%
发文量
1955
审稿时长
6.6 months
期刊介绍: Renewable Energy journal is dedicated to advancing knowledge and disseminating insights on various topics and technologies within renewable energy systems and components. Our mission is to support researchers, engineers, economists, manufacturers, NGOs, associations, and societies in staying updated on new developments in their respective fields and applying alternative energy solutions to current practices. As an international, multidisciplinary journal in renewable energy engineering and research, we strive to be a premier peer-reviewed platform and a trusted source of original research and reviews in the field of renewable energy. Join us in our endeavor to drive innovation and progress in sustainable energy solutions.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信