本文介绍了自然通风建筑(OTC-NVB)中乘员热舒适的全球研究概况和科学进展。尽管人们对该地区的兴趣越来越大,目前缺乏关于这一主题的现状和未来发展的全面文件。因此,出版趋势,文献计量分析,并对已发表的OTC-NVB文献进行了系统的文献综述。搜索查询“热舒适”和“自然通风”和“建筑物”旨在从ElsevierScopus数据库中恢复有关该主题的相关文档。结果显示,976份文件(包括文章,会议文件,reviews,等。)于1995年至2021年就该主题发表。进一步的分析表明,97.34%的出版物以英语出版。RichardJ.de亲爱的(悉尼大学,澳大利亚)是OTC-NVB研究最多产的研究人员,而能源和建筑拥有最高的出版物。文献计量分析显示出版物较多,引文,关键词,以及研究人员之间的共同作者,而最常见的关键词是通风,自然通风,热舒适,建筑物,和空调。系统的文献综述表明,OTC-NVB研究已经从经验到基于计算机的研究显着进展,涉及复杂的数学方程,programs,或软件,如人工神经网络(ANN)和计算流体动力学(CFD)。总的来说,OTC-NVB的研究结果表明,生理,社会,环境因素对NVB中的OTC有很大影响。未来的研究可能会采用人工智能或建筑性能模拟(BPS)工具来检查OTC与室内空气/环境质量之间的关系。人类行为,新颖的服装,或NVB中的建筑材料。
This paper presents the global research landscape and scientific progress on occupant thermal comfort in naturally ventilated buildings (OTC-NVB). Despite the growing interest in the area, comprehensive papers on the current status and future developments on the topic are currently lacking. Hence, the publication trends, bibliometric analysis, and systematic literature review of the published documents on OTC-NVB were examined. The search query \"Thermal Comfort\" AND \"Natural Ventilation\" AND \"Buildings\" was designed and executed to recover related documents on the topic from the Elsevier Scopus database. Results showed that 976 documents (comprising articles, conference papers, reviews, etc.) were published on the topic from 1995 to 2021. Further analysis showed that 97.34% of the publications were published in the English language. Richard J.de Dear (University of Sydney, Australia) is the most prolific researcher on OTC-NVB research, while Energy and Buildings has the highest publications. Bibliometric analysis showed high publications, citations, keywords, and co-authorships among researchers, whereas the most occurrent keywords are ventilation, natural ventilation, thermal comfort, buildings, and air conditioning. Systematic literature review demonstrated that OTC-NVB research has progressed significantly from empirical to computer-based studies involving complex mathematical equations, programs, or software like artificial neural networks (ANN) and computational fluid dynamics (CFD). In general, OTC-NVB research findings indicate that physiological, social, and environmental factors considerably influence OTC in NVBs. Future studies will likely employ artificial intelligence or building performance simulation (BPS) tools to examine relationships between OTC and indoor air/environmental quality, human behavior, novel clothing, or building materials in NVBs.