高层住宅被动式节能参数化设计研究  

Research on Parametric Design of Passive Energy Saving for High-Rise Residential Buildings

作　　者：张辉 彭超 唐萌 胡浩 Zhang Hui;Peng Chao;Tang Meng;Hu Hao

机构地区：[1]湖北工业大学土木建筑与环境学院

出　　处：《城市建筑》2023年第17期7-11,15,共6页Urbanism and Architecture

基　　金：国家自然科学基金项目(51508169);国家留学基金委地方合作项目(202008420322);湖北省科技厅重大专项(2018ZYYD037)。

摘　　要：影响建筑节能设计的诸多因素之间复杂的非线性关系,给实现理想方案及性能设计优化带来了相当的难度。文章以高层住宅为对象,基于反向设计思路和被动式参数化设计流程,从被动式节能设计角度,采用神经网络-遗传算法,建立以能耗、有效采光照度和预测不满意百分率为优化目标的函数关系,通过多组模拟数据训练与测试,寻求优化的被动式设计组合方案,为高层住宅节能优化设计提供思路和参考。The complex nonlinear relationship among many factors affecting building energy saving design makes it difficult to realize the ideal scheme and to optimize the performance design.In this paper,taking the high-rise residential building as the object,based on the proposed reverse design idea and passive parametric design process,from the perspective of passive energy saving design,neural network-genetic algorithm is used to establish the functional relationship with energy consumption,UDI(Useful Daylight Illuminance)and PPD(Predicted percentage of dissatisfied)as the optimization objective.Through the training and testing of several groups of simulated data,the passive design combination scheme of optimization is sought,which provides ideas and references for the energy-saving optimization design of high-rise residential buildings.

关 键 词：高层住宅 被动式节能 反向设计 多目标优化 

分 类 号：TU-05[建筑科学—建筑理论]