摘要
本文选取河北省保定市地区居住建筑为研究对象,通过分析被动式技术的适用性,得到不同被动技术对居住建筑自然室温舒适时长的影响。同时,提出一种基于遗传算法的多参数寻优方法,以室内舒适时长最大为目标,经过遗传算法的迭代寻优得到被动式技术的最优解组合,大量节省了被动式技术方案比选时间,为设计师提供定量的参考依据,有益于推动我国节能减排事业的发展。
This article selects residential buildings in Baoding area as the research object,analyzes the applicability of passive technology,and obtains the impacts of different passive technologies on the natural room temperature comfort duration of residential buildings.At the same time,a multi-parameter optimization method based on genetic algorithm is proposed,aiming at maximizing indoor comfort duration.The optimal solution combination of passive technologies is obtained through iterative optimization of genetic algorithm,a lot of passive technology scheme comparison time are saved,which could provide quantitative reference for designers,so as to promote the development of energy conservation and emission reduction in China.
出处
《住宅产业》
2024年第3期29-32,共4页
Housing Industry
关键词
舒适时长
被动式技术
居住建筑
参数化
遗传算法
comfort duration
passive technology
residential building
parameterization
genetic algorithm