个人信息Personal Information
副教授
博士生导师
硕士生导师
主要任职:Deputy Director, Department of Civil Engineering, Dalian University of Technology
其他任职:APEC Energy Working Group Member, Member of APEC Expert Group on Energy Efficiency and Conservation (EGEE&C)
性别:男
毕业院校:哈尔滨工业大学
学位:博士
所在单位:土木工程系
学科:供热、供燃气、通风及空调工程
办公地点:厚兴楼417房间
联系方式:0411-84707734
电子邮箱:zhaotianyi@dlut.edu.cn
An optimal control strategy for built environment based on the human thermal sensation
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论文类型:会议论文
发表时间:2019-01-01
收录刊物:CPCI-S、EI
卷号:238
期号:1
关键字:Air conditioning; Automation; Control theory; Energy conservation; Optimal control systems; Process control; Real time systems; Simulation platform, Adjustment algorithms; Building environment; Human thermal comfort; Human thermal sensations; Indoor air temperature; Optimal control strategy; Optimal strategies; Thermal environment, Thermal comfort
摘要:The automatic control strategy of existing heating, ventilation, and air-conditioning (HVAC) systems generally determine the set-point of building thermal environment in accordance with the relevant design criterion or occupants' preference, and have not taken the real-time thermal sensation of human body into consideration, which may make the human body feel uncomfortable under the range of comfortable design parameters. In order to improve the thermal comfort of human body, this paper presented an optimal strategy for indoor building environment control based on the human thermal sensation. The control logic of indoor air temperature based on the thermal sensation of human body was given, and the linear adjustment algorithm was used for realizing the optimal adjustment of indoor temperature set-point. In order to evaluate the performance of the proposed control strategy, a numerical simulation platform was constructed, and a series of simulations were carried out to compare the set-point based and proposed control strategies. The results revealed that the proposed control strategy can improve human thermal comfort and have the potential in energy saving compared to the set-point based control strategy. The proposed control strategy is of significance for the application of current thermal comfort research results and the development of built environment automatic control theory.