赵天怡

个人信息Personal Information

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

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Indoor thermal environment optimal control for thermal comfort and energy saving based on online monitoring of thermal sensation

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论文类型:期刊论文

发表时间:2019-08-15

发表刊物:ENERGY AND BUILDINGS

收录刊物:SCIE、EI

卷号:197

页面范围:57-67

ISSN号:0378-7788

关键字:Indoor thermal environment; Optimal control; Thermal comfort; Energy consumption; Thermal sensation

摘要:The automatic control of Heating, ventilation and Air Conditioning (HVAC) systems aims to achieve the thermal comfort requirements of occupants with minimum energy consumption. The automatic control strategy of existing HVAC systems determines a set value for creating a thermal environment in accordance with relevant design principles and/or occupants' preferences. An overly-cooled indoor environment may reduce the occupant's thermal comfort and result in excessive energy consumption. In order to improve thermal comfort and save energy, this study proposes an indoor thermal environment optimal control method based on the online monitoring of thermal sensation. First, a smart wristband collects the human physiological data, including wrist skin temperature and heart rate. This is for predicting human thermal sensation, where a fuzzy comprehensive evaluation method is employed to determine the integrated thermal sensation of multi occupants. Then, a linear adjustment algorithm is developed to optimize the indoor temperature set point. In order to evaluate the performance of the thermal sensation based control method, a series of experiments were conducted using the thermal sensation-based control and set point-based control. The results show that the thermal sensation-based control can adjust the temperature setting in a timely fashion according to the occupants' integrated thermal sensations, although they do not necessarily state their subjective perception. It is also revealed that the thermal sensation-based control can achieve a more comfortable thermal environment than the set point-based control. Furthermore, the thermal sensation-based control saves 13.8% in daily energy consumption compared to the set point-based control method. (C) 2019 Elsevier B.V. All rights reserved.