<strong>The Chinese Thermal Comfort Dataset</strong>

Heating and cooling in buildings accounts for over 20% of total energy consumption in China. Therefore, it is essential to understand the thermal requirements of building occupants when establishing building energy codes that would save energy while maintaining occupants’ thermal comfort. This paper introduces the Chinese Thermal Comfort Dataset, established by seven participating institutions under the leadership of Xi'an University of Architecture and Technology. The dataset comprises 41,977 sets of data collected from 49 cities across five climate zones in China over the past two decades. The raw data underwent careful quality control procedure, including systematic organization, to ensure its reliability. Each dataset contains environmental parameters, occupants’ subjective responses, building information, and personal information. The dataset has been instrumental in the development of indoor thermal environment evaluation standards and energy codes in China. It can also have broader applications, such as contributing to the international thermal comfort dataset, modeling thermal comfort and adaptive behaviors, investigating regional differences in indoor thermal conditions, and examining occupants’ thermal comfort responses.建筑供暖与制冷能耗占我国总能耗的20%以上。因此，在制定建筑节能规范时，充分掌握建筑使用者的热舒适需求至关重要——此类规范需在节约能源的同时保障使用者的热舒适体验。本研究介绍了由西安建筑科技大学牵头、七家参与单位共建的中国热舒适数据集（Chinese Thermal Comfort Dataset）。该数据集涵盖近二十年来从我国五个气候区的49座城市采集的41977组数据。原始数据经过严格的质量控制流程（含系统化整理）以保障数据可靠性。每组数据均包含环境参数、使用者主观响应、建筑信息及个人信息四类内容。该数据集为我国室内热环境评价标准与建筑节能规范的制定发挥了关键支撑作用。此外，该数据集还具备更广阔的应用场景，例如可用于助力国际热舒适数据集建设、开展热舒适与适应行为建模、探究室内热环境的区域差异，以及分析使用者的热舒适响应。