Deployment of rooftop photovoltaic systems at the urban scale based on multi-objective optimization from the life cycle perspective

IF 13.3 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Sustainable Cities and Society Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI:10.1016/j.scs.2026.107197
Xinrui Fu , Qing Zhong , Sophia Shuang Chen , Xiaoshan Yang , Jiajia Geng
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引用次数: 0

Abstract

Solar photovoltaic (PV) systems are increasingly deployed on urban rooftops. The optimal deployment of solar PV systems in urban areas becomes important. Most optimization goals in the existing studies are expanding economic and environmental benefits. However, many studies take into account economic costs and benefits for only a few stages in the life cycle of solar PV systems, and the establishment of environmental benefit targets focuses more on the emission reduction stage. In addition, discrepant costs and benefits caused by building typology are often ignored in most optimization research at the city level. To address above limitations, this paper considers the whole life cycle of solar PV systems and introduces a multi-objective optimization framework for optimally deploying solar PV systems on different types of rooftops. Integrating building footprints and PV system parameters, the method determines the best locations and corresponding installed capacities of rooftop PV systems at the urban scale by simultaneously maximizing economic and environmental benefits. Various land use codes, power consumption modes, and key performance indicators are incorporated to evaluate the solutions of optimization. The approach enables scenario-based optimization of PV deployment considering evolving grid integration requirements. The method is applied to the six major urban districts of Nanjing, China. Results show that the optimized solar PV installed capacity can help meet 15 % of the household electricity demand and 7 % of industrial and commercial electricity demand. The investment payback periods of solar PV deployment on various types of buildings under different power consumption modes range from 6 to 13 years, while the energy payback periods remain consistently below 6 years. Different power consumption modes significantly influence the optimal installed capacity of an individual building. This study provides a comprehensive perspective on urban rooftop PV planning and offers practical insights for prioritizing rooftop PV development to achieve sustainable goals.
基于生命周期多目标优化的城市屋顶光伏系统部署
太阳能光伏(PV)系统越来越多地部署在城市屋顶上。太阳能光伏系统在城市地区的优化部署变得非常重要。现有研究的优化目标大多是扩大经济效益和环境效益。然而,许多研究只考虑了太阳能光伏系统生命周期中少数几个阶段的经济成本和效益,环境效益目标的建立更多地侧重于减排阶段。此外,在大多数城市层面的优化研究中,往往忽略了建筑类型所带来的成本效益差异。为了解决上述限制,本文考虑了太阳能光伏系统的整个生命周期,并引入了一个多目标优化框架,用于在不同类型的屋顶上优化部署太阳能光伏系统。该方法综合建筑面积和光伏系统参数,确定城市规模屋顶光伏系统的最佳位置和相应的装机容量,同时实现经济效益和环境效益的最大化。结合各种土地利用规范、电力消耗模式和关键绩效指标来评估优化方案。考虑到不断发展的电网整合需求,该方法可以实现基于场景的光伏部署优化。该方法应用于中国南京市的六个主要城区。结果表明,优化后的太阳能光伏装机容量可满足15%的家庭用电需求和7%的工商业用电需求。各类建筑在不同用电模式下的太阳能光伏投资回收期在6 - 13年之间,能源回收期一直低于6年。不同的能耗模式对单个建筑的最优装机容量有显著影响。本研究为城市屋顶光伏规划提供了一个全面的视角,并为优先考虑屋顶光伏发展以实现可持续目标提供了实用的见解。
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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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