Multi-objective optimization for optimal placement of shared battery energy storage systems in urban energy communities

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2025-01-29 DOI:10.1016/j.scs.2025.106178

Jongbaek An , Taehoon Hong

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引用次数: 0

Abstract

This study presents a novel multi-objective optimization approach for the optimal placement of shared battery energy storage systems (SBESS) in urban energy communities, balancing economic, technical, and environmental performance. Using real-world data from 191 buildings in Seoul, South Korea, a comprehensive model was developed that incorporates genetic algorithms and pareto optimality to optimize net present value, energy self-sufficiency rates, and peak loads. The results reveal that SBESS placement significantly improves technical and environmental performance compared to scenarios without SBESS, increasing energy self-sufficiency rates by up to 17.44% and reducing peak loads by up to 37.19% across different clusters. However, it currently lacks economic viability, with negative net present values ranging from USD -163,249 to USD -821,469 in all clusters. The optimal placement strategy achieved similar technical and environmental performances as the full placement approach yet required fewer installations. Sensitivity analysis emphasized the importance of electricity market design and policy frameworks in improving the economic feasibility of SBESS. This research contributes to urban energy planning by providing a realistic assessment of SBESS integration, offering valuable insights for policymakers and planners in balancing sustainability goals with economic constraints in energy community design.

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来源期刊

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;