Energy-resilient performance-based generative design to adapt to future climate change using urban building energy model: A case study of residential block design

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2025-09-01 DOI:10.1016/j.scs.2025.106769

Chenxi Shi , Miaokun Huang , Shu Su , Qinran Hu , Wei Wang , Xiangfeng Li

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Abstract

As global concern about climate change intensifies, optimizing building energy consumption, reducing carbon emissions, and enhancing urban energy resilience of buildings have emerged as critical priorities. This study presents a multi-objective optimization framework for urban residential blocks in the Yangtze River Delta, evaluating the impact of building morphology on energy performance and solar energy potential under future climate scenarios. Through performing parameter validation, parametric modeling, energy simulation, and multi-objective optimization using a real-world case study, the Pareto-optimal solutions we identified exhibited significantly improved overall performance. Energy consumption was decreased by at least 0.76 kWh/m² in 2020, 0.88 kWh/m² in 2030, and 1.30 kWh/m² in 2060, demonstrating that optimized building forms enhance both energy efficiency and climate adaptability under projected climate change conditions. Furthermore, the Pareto-optimal solutions indicate that the existing strategy of energy-efficient building layouts exhibits climate adaptability and energy resilience inherently. Compact building layouts with open spaces strategically positioned around buildings yield superior energy performance. Regarding building typology, minimizing unit high-rise structures while increasing standalone high-rise buildings is advisable. To maximize adaptation to prevailing monsoons, high-rise buildings should be concentrated on the western and northern sides of residential blocks, with lower heights and open spaces allocated to the southern and eastern sectors. In addition, maximizing solar energy potential through optimized spatial configurations can effectively eliminate climate change impacts on building energy demands.

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利用城市建筑能源模型适应未来气候变化的能源弹性性能生成设计：以住宅街区设计为例

随着全球对气候变化的担忧加剧，优化建筑能耗、减少碳排放和增强城市建筑能源弹性已成为当务之急。本研究提出了长三角城市住宅小区的多目标优化框架，评估了未来气候情景下建筑形态对能源性能和太阳能潜力的影响。通过进行参数验证、参数化建模、能量模拟和多目标优化，我们确定的pareto最优解显示出显著提高的整体性能。2020年能耗降低至少0.76 kWh/m²，2030年能耗降低至少0.88 kWh/m²，2060年能耗降低至少1.30 kWh/m²，表明在预测的气候变化条件下，优化的建筑形式既提高了能效，又提高了气候适应性。此外，帕累托最优解表明，现有节能建筑布局策略具有内在的气候适应性和能量弹性。紧凑的建筑布局与开放空间策略性地定位在建筑周围，产生卓越的能源性能。在建筑类型方面，尽量减少单体高层建筑，增加单体高层建筑是可取的。为了最大限度地适应盛行的季风，高层建筑应集中在住宅街区的西部和北部，较低的高度和开放空间分配给南部和东部。此外，通过优化空间配置，最大限度地利用太阳能，可以有效消除气候变化对建筑能源需求的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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;