Ampirik Termal Konfor Değerlendirme Yöntemlerinin Bulanık Mantıkla Zenginleştirilmesi

Rana Uzun, Ferhat Pakdamar
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引用次数: 0

Abstract

Building occupants spend approximately 90% of their lives indoors where they want to have indoor air quality, visual, acoustic, and thermal comfort (which is more dominant). Thermal comfort is assessed by physical factors such as operative air temperature, relative humidity, and air velocity. People’s activity level and clothing level are also effective. Related regulations and standards like ISOEN7730 and EN15251 aim to provide a unified understanding of the matter. Since these studies rely on experimental methods, there are instances where certain scenarios lack experimental support, leading to gaps in the results. Those gaps can be filled with the Fuzzy Logic Method, which evaluates with “degrees of truth” instead of “true or false”. With this study, the level of knowledge on providing thermal comfort can be increased by filling the gaps in the empirical studies and the damage caused by heating-cooling energy to the environment can be reduced with further studies.
模糊逻辑丰富了经验热舒适度评估方法
建筑使用者约有 90% 的时间是在室内度过的,他们希望获得室内空气质量、视觉、听觉和热舒适度(这是更主要的因素)。热舒适度是通过工作空气温度、相对湿度和空气流速等物理因素来评估的。人们的活动量和穿衣水平也很重要。ISOEN7730 和 EN15251 等相关法规和标准旨在提供对这一问题的统一认识。由于这些研究依赖于实验方法,因此在某些情况下缺乏实验支持,导致研究结果存在差距。模糊逻辑法可以填补这些空白,该方法以 "真假程度 "而非 "真假 "进行评估。通过这项研究,可以填补经验研究中的空白,从而提高人们对提供热舒适度的认识水平,并通过进一步的研究减少加热-冷却能量对环境造成的破坏。
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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