Identification of local thermal conditions for sleeping comfort improvement in neutral to cold indoor thermal environments

Publication date: Available online 9 December 2019Source: Journal of Thermal BiologyAuthor(s): Cong Song, Yanfeng Liu, Xiaojun Zhou, Dengjia Wang, Yingying Wang, Jiaping LiuAbstractThe effect of the thermal environment on sleep quality has attracted considerable attention, as sleep forms one-third of human lifetime and the occupied space is largely constrained during sleep. With an increasing development of partial space regulation and task air conditioning systems and devices, thermal comfort demand concerning local thermal conditions has attracted more and more attention. In the present study, experiment was conducted and data mining technologies were performed to investigate correlations between local thermal conditions and whole body thermal comfort in sleeping state. The identification of local thermal condition included two steps: the first step was to clarify thermal sensation links between local and covered body, and the second step was to identify local thermal sensation inclination towards different thermal comfort levels. Thermal sensation correlations among local body parts and covered body were obtained. Back, face, and thigh were identified as three dominant linear-correlated local parts with weighting factors 0.488, 0.388, and 0.152, respectively; in addition, chest, arm, leg and foot were found as non-negligible local parts in the estimation of covered body thermal sensation. By dividing the sleeping human body into three parts as head, trunk and extremity, th...
Source: Journal of Thermal Biology - Category: Biology Source Type: research