马良栋

个人信息Personal Information

副教授

硕士生导师

性别:男

毕业院校:西安交通大学

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

联系方式:0411-84707753

电子邮箱:liangdma@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

An optimal control method for discrete variable outdoor air volume setpoint determination in variable air volume systems

点击次数:

论文类型:期刊论文

发表时间:2020-01-01

发表刊物:BUILDING AND ENVIRONMENT

收录刊物:EI、SCIE

卷号:167

ISSN号:0360-1323

关键字:VAV system; Discrete variable OA volume flow setpoints; PI calculation method; Trial-and-error method; Energy saving

摘要:In multi-zone variable outdoor air (OA) volume air-conditioning systems, there is often a mismatch between OA volume flow supply and demand, because variable air volume (VAV) systems exhibit nonlinear, multivariable, and long delay characteristics. Traditional methods ensure indoor air quality (IAQ) by increasing OA volume flow, which leads to a waste of OA flow energy. To address this problem, an optimal control method for determining discrete variable OA volume flow setpoints, based on differential pressure control, is proposed in this study. In this method, changes in indoor CO2 concentration and the total air volume flow demand of terminals are regarded as constraints of OA volume flow setpoints. A Proportional-Integral (PI) calculation method and trial-and-error method are used to discretize continuous OA volume flow setpoints to increase system stability. Two types of experiments were conducted to compare the characteristics of the two discrete OA volume flow setpoint determining methods, and to verify the feasibility of our new approach. The results show that the OA volume flow control loop can be well fitted with other control loops of VAV systems, and ensure OA volume flow demand for a target area. The proposed method provides greater energy savings than maximum OA ratio control strategy (7%-22%) and typical on-demand ventilation method (6.1%), and better control performance than continuous OA volume flow setpoints control system. The PI calculation method is suitable for conditions with high IAQ requirements, while the trial-and-error method can be used for comfort air-conditioning systems to adjust the indoor environment.