Comparison of shading design between the northern and southern hemispheres: using the NSGA-II algorithm to reduce building energy consumption and improve occupants' comfort

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
Sarah Nazari, Payam Keshavarz Mirza Mohammadi, Amirhosein Ghaffarianhoseini, A. Ghaffarianhoseini, Dat Tien Doan, Abdulbasit Almhafdy
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引用次数: 2

Abstract

PurposeThis paper aims to investigate the optimization of window and shading designs to reduce the building energy consumption of a standard office room while improving occupants' comfort in Tehran and Auckland.Design/methodology/approachThe NSGA-II algorithm, as a multi-objective optimization method, is applied in this study. First, a comparison of the effects of each variable on all objectives in both cities is conducted. Afterwards, the optimal solutions and the most undesirable scenarios for each city are presented for architects and decision-makers to select or avoid.FindingsThe results indicate that, in both cities, the number of slats and their distance from the wall are the most influential variables for shading configurations. Additionally, occupants' thermal comfort in Auckland is much better than in Tehran, while the latter city can receive more daylight. Furthermore, the annual energy use in Tehran can be significantly reduced by using a proper shading device and window-to-wall ratio (WWR), while building energy consumption, especially heating, is negligible in Auckland.Originality/valueTo the best of the authors' knowledge, this is the first study that compares the differences in window and shading design between two cities, Tehran and Auckland, with similar latitudes but located in different hemispheres. The outcomes of this study can benefit two groups: firstly, architects and decision-makers can choose an appropriate WWR and shading to enhance building energy efficiency and occupants' comfort. Secondly, researchers who want to study window and shading systems can implement this approach for different climates.
南北半球遮阳设计比较:利用NSGA-II算法降低建筑能耗,提高居住者舒适度
目的研究德黑兰和奥克兰的窗户和遮阳设计优化,以降低标准办公室的建筑能耗,同时提高居住者的舒适度。设计/方法/方法NSGA-II算法作为一种多目标优化方法,应用于本研究。首先,比较了每个变量对两个城市所有目标的影响。然后,给出了每个城市的最佳解决方案和最不希望出现的场景,供建筑师和决策者选择或避免。结果表明,在这两个城市中,板条的数量及其与墙壁的距离是影响遮阳配置的最大变量。此外,奥克兰的居住者的热舒适度比德黑兰要好得多,而德黑兰可以获得更多的日光。此外,通过使用适当的遮阳设备和窗墙比(WWR),德黑兰的年能源使用量可以显著减少,而建筑能耗,尤其是供暖,在奥克兰可以忽略不计。原始性/价值据作者所知,这是第一项比较德黑兰和奥克兰两个城市窗户和遮阳设计差异的研究,纬度相似但位于不同的半球。这项研究的结果可以使两组人受益:首先,建筑师和决策者可以选择合适的WWR和遮阳,以提高建筑能效和居住者的舒适度。其次,想要研究窗户和遮阳系统的研究人员可以针对不同的气候实施这种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
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