Coupling renewable energy with urban greening: quantifying the sustainable development potential of photovoltaic-green roofs

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Taoyu Chen , Yantong Li , Yi Zhang , Hexu Ji , Xinyu Wang , Junjun He , Qunyue Liu , He Zhang
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引用次数: 0

Abstract

Photovoltaic–Green Roof (PV-GR) systems, integrating clean energy production with ecological greening, represent an emerging form of three-dimensional greening with substantial potential to promote urban sustainability. However, most existing studies focus on isolated benefits, without a comprehensive assessment framework or consideration of future pathways. Consequently, the sustainable development potential of PV-GR systems remains insufficiently explored. To address this gap, we propose a scalable and replicable integrated evaluation framework to assess the sustainable development potential of PV-GR systems. The framework incorporates rooftop suitability identification, Area Solar Radiation, the Denitrification–Decomposition model, multidimensional SDG indicator quantification, and multi-scenario dynamic simulation. Using the high-density urban core within Fuzhou’s Third Ring Road as a case study, we identified approximately 975.23 hectares of potentially suitable rooftop space. Under full deployment, PV-GR systems could annually generate 5936 GWh of electricity, reduce carbon emissions by 4.118×106 t CO2, and generate 1.079×106 kg C yr⁻¹ of green biomass. Additionally, the PV-GR could create 75,092 jobs, deliver 2.401×109 CNY in economic returns, and retain 5.013×106 m3 of rainwater annually. Two future scenarios were simulated: S1 Photovoltaic–Green Roof Synergy Scenario and S2 Policy Incentive Scenario. Vegetation was found to enhance photovoltaic efficiency, leading to steady increases in electricity generation and carbon reduction—by up to 20.37 % and 6.7 %, respectively. Moreover, policy incentives significantly amplified system benefits. The findings reveal the sustainable development potential of PV-GR systems and offer a scalable and replicable framework to support the deployment of three-dimensional greening and the formulation of sustainable urban policies.
耦合可再生能源与城市绿化:量化光伏绿色屋顶的可持续发展潜力
光伏-绿色屋顶(PV-GR)系统将清洁能源生产与生态绿化相结合,代表了一种新兴的三维绿化形式,具有促进城市可持续发展的巨大潜力。然而,大多数现有的研究都集中在孤立的益处上,没有一个全面的评估框架或考虑未来的途径。因此,PV-GR系统的可持续发展潜力尚未得到充分挖掘。为了解决这一差距,我们提出了一个可扩展和可复制的综合评估框架,以评估PV-GR系统的可持续发展潜力。该框架包括屋顶适宜性识别、面积太阳辐射、反硝化分解模型、多维可持续发展目标指标量化和多场景动态模拟。以福州三环内高密度的城市核心为例,我们确定了大约975.23公顷的潜在合适的屋顶空间。在全面部署的情况下,PV-GR系统每年可产生5936千兆瓦时的电力,减少4.118×106吨二氧化碳的碳排放,并产生1.079×106公斤/年的绿色生物质。此外,PV-GR每年可创造75,092个就业机会,创造2.401×109元人民币的经济回报,并保留5.013×106立方米的雨水。模拟了两种未来情景:S1光伏-绿色屋顶协同情景和S2政策激励情景。研究发现,植被可以提高光伏发电效率,导致发电量和碳减排的稳步增长,分别达到20.37%和6.7%。此外,政策激励显著放大了制度效益。研究结果揭示了PV-GR系统的可持续发展潜力,并为三维绿化的部署和可持续城市政策的制定提供了可扩展和可复制的框架。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
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;
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