摘要
区域能耗评估涉及建筑形态、周边环境、功能使用等多因素耦合作用,建模难度大,时间成本高,难以适应设计优化的快速迭代过程。研究提出一种能源驱动的城市智能建模方法,在设计早期提供以最小化区域能耗和最大化光伏潜力为优化目标的设计生成工具。
Regional energy consumption assessment involves the coupling effect of multiple factors such as building form,surrounding environment,and functions,which makes modeling difficult and time-costly to accommodate the rapid iterative process of design optimization.In this research,an energy-driven urban intelligent modeling method is proposed to provide a generative design tool with the optimization objectives of minimizing regional energy consumption and maximizing PV potential in the early design stage.
作者
黄辰宇
张耿嘉
张星曌
殷明刚
Huang Chenyu;Zhang Gengjia;Zhang Xingzhao;Yin Minggang
出处
《建筑技艺》
2021年第9期78-83,共6页
Architecture Technique
关键词
能源驱动
城市智能生成
能耗优化
设计早期
机器学习
energy-driven
urban intelligent generation
energy consumption optimization
early stage of design
machine learning
