LAPSE:2023.26058
Published Article
LAPSE:2023.26058
Comparison of Multi-Control Strategies for the Control of Indoor Air Temperature and CO2 with OpenModelica Modeling
Wei Wang, Xiaofang Shan, Syed Asad Hussain, Changshan Wang, Ying Ji
March 31, 2023
As most residents spend more than 90% of their time in buildings, acceptable and reasonable control of both indoor thermal comfort and air quality is imperative to ensure occupants’ health status and work productivity. However, current control strategies generally take either thermal comfort or indoor air quality as a single loop, rather than the concurrent control of two. To analyze their mutual influence, this study investigated the performance of three multi-control approaches, i.e., proportional integral derivative (PID) control of thermal comfort and a fixed outdoor air ratio, PID control of thermal comfort and design outdoor air rate, and PID control of thermal comfort and occupancy-based demand-controlled ventilation. As a pilot study, three typical control methods were implemented to a multi-zone building via OpenModelica modeling. The results indicate that indoor air temperature can be well-maintained under three control methods, however, the CO2 concentration under the fixed outdoor air ratio was over 1000 ppm, leading to poor indoor air quality. The control strategy with the design outdoor air rate could not properly ensure the CO2 concentration, due to the over-ventilated or under-ventilated phenomena, subsequently resulting in unnecessary energy waste. The occupancy-based demand controlled ventilation could maintain the CO2 concentration under the set-point with an intermediate power energy utilization.
Keywords
energy use, indoor air quality, multi-control strategies, OpenModelica modeling, thermal comfort
Suggested Citation
Wang W, Shan X, Hussain SA, Wang C, Ji Y. Comparison of Multi-Control Strategies for the Control of Indoor Air Temperature and CO2 with OpenModelica Modeling. (2023). LAPSE:2023.26058
Author Affiliations
Wang W: School of Architecture, Southeast University, Sipailou 2#, Xuanwu District, Nanjing 210096, China
Shan X: School of Civil Engineering and Architecture, Wuhan University of Technology, No. 122 Luoshi Road, Wuhan 430070, China
Hussain SA: Department of Architecture and Civil Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong 999077, China
Wang C: Nanjing Lvzhen Construction Technology Co., Ltd. Building 11, Qinhefang, Chunjiang New Town, Yuhuatai District, Nanjing 210096, China
Ji Y: College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China; Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China
Journal Name
Energies
Volume
13
Issue
17
Article Number
E4425
Year
2020
Publication Date
2020-08-27
ISSN
1996-1073
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PII: en13174425, Publication Type: Journal Article
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https://doi.org/10.3390/en13174425
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