摘要
在动态热环境中,人体通过生理、行为和心理三方面的调节来适应或改变环境来到达热舒适状态。目前对这三类适应性对热舒适的影响主要从定性的角度。本文通过对遵义地区自然通风建筑室内热环境、热舒适的现场研究,利用自动控制黑箱理论构建了适应性热舒适预测投票模型,并通过最小二乘法对反映受试者适应性程度的适应性系数λ进行了求解,将三类适应性对热舒适的影响进行了量化。对遵义地区建筑的节能减排、可持续性建筑的发展具有实际的指导意义。
The thermal comfort would be achieved as a result of combined effects of adaptations in terms of physiological, behavioral and psychological regulation. At present, the understanding of three categories of adaptations is mainly from the qualitative aspect. This study investigates the thermal environment and thermal comfort of occupants in naturally ventilated buildings in winter, Zunyi. Based on ‘Black box’theory, the Adaptive Predicted Mean Vote is developed. By means of applying least square method, the adaptive coefficient λ which is quantitively reflecting subjects’ adaptation is solved. It will help with the building energy conservation and development of sustainable buildings in Zunyi.
作者
刘晶
陈义
蔡婷
Liu Jing;Chen Yi;Cai Ting(School of Engineering, Zunyi Normal College, Guizhou zunyi 563002, China;School of Management, Zunyi Normal College, Guizhou zunyi, 563002, China)
出处
《贵阳学院学报(自然科学版)》
2019年第1期72-74,共3页
Journal of Guiyang University:Natural Sciences
基金
贵州省科技厅基础研究项目:"地缘热泵系统下楼宇热湿环境评价及建筑设计优化策略研究"(项目编号:黔科合基础[2017]1203)
遵义师范学院博士基金项目:"遵义地区高校建筑热环境及人体适应性热舒适的研究"(项目编号:遵师BS[2016]04)
关键词
适应性热舒适
热环境
最小二乘法
可持续性建筑
Adaptive Thermal Comfort
Thermal environment
Least Square Method
Sustainable Building