{"title":"Effect of solar photovoltaics on green roof energy balance and evapotranspiration","authors":"Tej Žižak, Sašo Medved, Ciril Arkar","doi":"10.1016/j.scs.2025.106206","DOIUrl":null,"url":null,"abstract":"<div><div>Photovoltaic green roofs represent an emerging technology that combines on-site renewable energy production with the environmental benefits of green roofs. Detailed models for calculating energy fluxes on photovoltaic green roofs are presented, relying on accessible meteorological data and setup geometry as input data. A key focus is the accurate modelling of longwave radiation, an often-overlooked component of energy balance. Experimental results reveal up to a 100 W m<sup>-</sup>² difference in incoming longwave radiation on green roof surface under photovoltaics compared to open-sky conditions, demonstrating the significant impact on the energy balance. The precise modelling of short and longwave radiation is achieved through proposed shading and view factor calculation methods, as well as with a developed parametric model for green roof surface temperature under varying shading factors. Neglecting longwave radiation exchange with photovoltaic modules would result in an 18 % underestimation of daily evapotranspiration. A complete detailed model for evapotranspiration calculation is proposed, achieving a 4.4 % normalized root mean square error for daily predictions. By accurately estimating energy fluxes and evapotranspiration, this study provides tools for quantifying water needs, optimizing the synergy between green roofs and photovoltaics, and assessing their broader impacts on urban microclimates.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"121 ","pages":"Article 106206"},"PeriodicalIF":12.0000,"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/S2210670725000836","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Photovoltaic green roofs represent an emerging technology that combines on-site renewable energy production with the environmental benefits of green roofs. Detailed models for calculating energy fluxes on photovoltaic green roofs are presented, relying on accessible meteorological data and setup geometry as input data. A key focus is the accurate modelling of longwave radiation, an often-overlooked component of energy balance. Experimental results reveal up to a 100 W m-² difference in incoming longwave radiation on green roof surface under photovoltaics compared to open-sky conditions, demonstrating the significant impact on the energy balance. The precise modelling of short and longwave radiation is achieved through proposed shading and view factor calculation methods, as well as with a developed parametric model for green roof surface temperature under varying shading factors. Neglecting longwave radiation exchange with photovoltaic modules would result in an 18 % underestimation of daily evapotranspiration. A complete detailed model for evapotranspiration calculation is proposed, achieving a 4.4 % normalized root mean square error for daily predictions. By accurately estimating energy fluxes and evapotranspiration, this study provides tools for quantifying water needs, optimizing the synergy between green roofs and photovoltaics, and assessing their broader impacts on urban microclimates.
光伏绿色屋顶代表了一种新兴技术,它将现场可再生能源生产与绿色屋顶的环境效益相结合。基于可获取的气象数据和设置几何作为输入数据,给出了计算光伏绿色屋顶能量通量的详细模型。一个关键的焦点是长波辐射的精确建模,这是能量平衡的一个经常被忽视的组成部分。实验结果表明,与露天条件相比,在光伏下,绿色屋顶表面的入射长波辐射差异高达100 W m- 2,表明对能量平衡的显著影响。通过提出的遮阳和视场因子计算方法,以及开发的不同遮阳因子下绿色屋顶表面温度的参数化模型,实现了短波和长波辐射的精确建模。忽略与光伏组件的长波辐射交换将导致每日蒸散量低估18%。提出了一个完整详细的蒸散发计算模型,每日预测的归一化均方根误差为4.4%。通过准确估算能量通量和蒸散发,本研究为量化水需求、优化绿色屋顶和光伏发电之间的协同作用以及评估其对城市小气候的广泛影响提供了工具。
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;