摘要
基于计算性思维理论,提出一种面向绿色性能提升的住区布局智能设计方法,结合工具和算法进行实践研究。该方法以多性能优化为核心,整合数据驱动的设计流程与绿色性能评价模型,通过智能化手段提升住区布局设计的效率与绿色性能。研究聚焦优化采光、日照、视野与室外热环境等关键指标,探索在住区布局中平衡建筑密度、环境舒适性和可持续性能的策略。研究结果表明,该方法能够显著提高住区布局的绿色性能设计效果,具体体现在优化日照分布、改善光环境与热环境调节等方面。通过精确量化设计参数,该方法为生成高效、多样化的住区方案提供了技术支持,同时简化了建筑师的设计决策流程,显著提升了工作效率。案例表明,该方法在提升住区布局绿色性能的同时降低了设计复杂性和时间成本,为未来绿色住区的规划与设计提供了可行的解决方案。最终成果对推动绿色设计流程转变与实践应用具有重要参考价值。
Based on the theory of computational thinking,an intelligent design method is proposed for residential layout aimed at improving green performance,supported by practical studies with tools and algorithms.Centered on multi-objective optimization,the method integrates data-driven design processes with green performance evaluation models to enhance both the efficiency and environmental performance of residential layouts through intelligent means.The research focuses on optimizing key indicators such as lighting,sunlight exposure,visual accessibility,and outdoor thermal environment,exploring strategies to balance building density,environmental comfort,and sustainability in residential layouts.The results demonstrate that this method significantly improves the precision of green performance design in residential layouts,particularly in optimizing sunlight distribution,enhancing lighting conditions,and regulating thermal environments.By accurately quantifying design parameters,the method provides technical support for generating efficient and diverse residential solutions while simplifying architects’decision-making processes and substantially improving work efficiency.Case studies show that the method not only enhances green performance in residential layouts but also reduces design complexity and time costs,offering a feasible solution for future green residential planning and design.The findings serve as a valuable reference for advancing the transformation of green design processes and practical applications.
作者
王珊珊
张大玉
王兰
WANG Shanshan;ZHANG Dayu;WANG Lan(School of Architecture and Urban Planning,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;School of Mechanics and Construction Building,Jinan University,Guangzhou 510632,China)
出处
《建筑节能(中英文)》
2025年第12期9-15,46,共8页
Building Energy Efficiency
基金
北京市教育委员会科学研究计划项目资助(KM202410016019)
北京市博士后工作经费资助项目(2023-zz-143)
广州市科技计划项目:基础与应用基础研究项目“城镇居住小区绿地空间设计对居民行为及建筑能耗影响机制研究”(202201011084)。
关键词
绿色住区
布局设计
人工智能
多性能优化
参数化设计
green residential area
layout design
artificial intelligence
many-objective-optimization
parametric design
