摘要
依托机器学习和参数化技术建立了面向建筑方案设计阶段能耗主导的建筑性能快速优化方法,从而实现方案设计阶段以能耗为代表的建筑性能的直观呈现。本文通过实际案例证实了将建筑能耗快速计算技术与交互式性能优化框架相结合,可以让建筑师在进行方案推进与决策过程中直观而快速地获取以建筑能耗为代表的各项性能指标的反馈,从中选择最佳的设计方案,提升建筑师进行性能优化设计的能力。
A rapid optimization method is presented for building performance based on energy consumption in the early design phase based on machine learning and parametric design.Design cases show that combining the rapid calculation method of building energy consumption with the interactive performance optimization platform allows architects to obtain feedback of building performance visually and quickly.The fast performance optimization method proposed in this paper will greatly improve the potential of architects to obtain better comprehensive performance design.
作者
朱姝妍
马辰龙
向科
邹煜凯
ZHU Shuyan;MA Chenlong;XIANG Ke;ZOU Yukai
出处
《建筑师》
2021年第6期69-76,共8页
The Architect
基金
华南理工大学亚热带建筑科学国家重点实验室开放课题(项目编号:2022ZB11、2022ZB06)
“十三五”国家重点研发计划(2017YFC0702309)适应夏热冬暖气候的绿色公共建筑设计模式与示范。
关键词
建筑方案设计
参数化
机器学习
建筑能耗
建筑性能优化
Architectural design
Parametric design
Machine learning
Building energy consumption
Building performance optimization