响应表面方法使用可取性函数进行多目标优化,以最大限度地减少室内过热时间,并最大限度地提高有用的日光照明度
Juan Gamero-Salinas1,2, Jesús López-Fidalgo3,4
1Institute of Data Science and Artificial Intelligence (DATAI), University of Navarra, University Campus, 31008, Pamplona, Spain. jgamero@unav.es.
Scientific reports
|April 9, 2025
概括
这项研究优化了热带家庭设计,以获得更好的热舒适度和日光照明. 它平衡室内过热时间和有用的日光照明,使用像窗户大小和屋顶悬架这样的被动策略.
科学领域:
- 建筑科学 建筑科学
- 可持续的建筑 可持续的建筑
- 环境设计环境设计
背景情况:
- 热舒适度和日照对于热带住宅至关重要,但往往存在一些权衡.
- 过热指标通常被排除在温暖气候下的日光性能分析之外.
- 在热带住房中,优化热和日光性能的被动策略仍未得到充分探索.
研究的目的:
- 在热带住房中,同时优化热舒适度 (室内过热时间 - IOH) 和日光性能 (有用的日光照明 - UDI).
- 通过使用多目标优化方法,研究热舒适度和日光之间的权衡.
- 为低层热带住房类型识别最佳的被动设计策略.
主要方法:
- 采用响应表面方法 (RSM) 和多目标优化的可取性功能.
- 使用分数因子设计进行被动策略的初始选.
- 执行阶段和拉索回归以确定关键设计因素:窗与墙的比率 (WWR) 和屋顶悬架深度.
主要成果:
- 确定了最佳的被动策略,平衡IOH和UDI,总体可取性 (D) 为0.625.
- 确定了最佳值:西/南屋顶斜坡 (3.78米),西WWR (3.76%) 和南WWR (29.3%).
- 实现了8.33%的IOH和79.67%的UDI的优化性能指标.
结论:
- 一个计算效率高的多目标方法可以有效地平衡热舒适度和日光在热带住房.
- 该研究为低层热带住宅提供了优化的被动设计参数,最大限度地减少了实验运行.
- 强度分析证实了确定最佳设计解决方案的可靠性.
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