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湿热气候下建筑外窗及遮阳系统的能源、视野、采光和热舒适性多目标优化

Multi-objective optimization of energy, view, daylight and thermal comfort for building's fenestration and shading system in hot-humid climates.

作者信息

Wu Zhenling, Xu Yimin, Wang Zhuoyao

机构信息

Center for Balance Architecture, Zhejiang University, Hangzhou, Zhejiang, China.

The Architectural Design and Research Institute of Zhejiang University Company Limited, Hangzhou, Zhejiang, China.

出版信息

PLoS One. 2025 Jun 18;20(6):e0325290. doi: 10.1371/journal.pone.0325290. eCollection 2025.

DOI:10.1371/journal.pone.0325290
PMID:40531891
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12176215/
Abstract

Well-designed building envelope components are essential in addressing global warming. Fenestration and shading system (F&SS) not only promote energy conservation and emission reduction but also enhance occupant satisfaction by improving indoor environments. However, existing research often prioritizes energy use, daylight, and thermal comfort while neglecting view quality, a factor closely tied to mental health and productivity. This study employs multi-objective optimization (MOO) to balance energy consumption, view quality, daylight, and thermal comfort in office buildings located in hot-humid climates. By optimizing variables such as window-to-wall ratio (WWR) and shading device dimensions, the research integrates random forest models with SHapley Additive exPlanations (SHAP) analysis to quantify the influence of design parameters on optimization goals. Results indicate maximum improvements of 25.62% in energy use intensity (EUI), 23.18% in thermal comfort percentage (TCP), and 37.96% in useful daylight illuminance (UDI), highlighting the substantial potential of the proposed framework. This research refines the MOO framework for F&SS design, offering new insights into view quality considerations. Recommended values, such as a WWR of 0.6, provide practical guidance for architects in balancing energy efficiency and occupant comfort.

摘要

精心设计的建筑围护结构组件对于应对全球变暖至关重要。门窗和遮阳系统(F&SS)不仅能促进节能减排,还能通过改善室内环境提高居住者的满意度。然而,现有研究往往优先考虑能源使用、采光和热舒适性,而忽视了与心理健康和生产力密切相关的视野质量。本研究采用多目标优化(MOO)方法,以平衡炎热潮湿气候地区办公建筑的能源消耗、视野质量、采光和热舒适性。通过优化诸如窗墙比(WWR)和遮阳装置尺寸等变量,该研究将随机森林模型与SHapley加法解释(SHAP)分析相结合,以量化设计参数对优化目标的影响。结果表明,能源使用强度(EUI)最高可提高25.62%,热舒适百分比(TCP)最高可提高23.18%,有效日光照度(UDI)最高可提高37.96%,突出了所提出框架的巨大潜力。本研究完善了F&SS设计的MOO框架,为视野质量考量提供了新的见解。推荐值,如0.6的窗墙比,为建筑师在平衡能源效率和居住者舒适度方面提供了实用指导。

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