Model Predictive Control with Adaptive Building Model for Heating Using the Hybrid Air-Conditioning System in a Railway Station
Ruixin Lv,
Zhongyuan Yuan,
Bo Lei,
Jiacheng Zheng and
Xiujing Luo
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Ruixin Lv: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Zhongyuan Yuan: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Bo Lei: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Jiacheng Zheng: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Xiujing Luo: School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
Energies, 2021, vol. 14, issue 7, 1-22
Abstract:
A model predictive control (MPC) system with an adaptive building model based on thermal-electrical analogy for the hybrid air conditioning system using the radiant floor and all-air system for heating is proposed in this paper to solve the heating supply control difficulties of the railway station on Tibetan Plateau. The MPC controller applies an off-line method of updating the building model to improve the accuracy of predicting indoor conditions. The control performance of the adaptive MPC is compared with the proportional-integral-derivative (PID) control, as well as an MPC without adaptive model through simulation constructed based on a TRNSYS-MATLAB co-simulation testbed. The results show that the implementation of the adaptive MPC can improve indoor thermal comfort and reduce 22.2% energy consumption compared to the PID control. Compared to the MPC without adaptive model, the adaptive MPC achieves fewer violations of constraints and reduces energy consumption by 11.5% through periodic model updating. This study focuses on the design of a control system to maintain indoor thermal comfort and improve system efficiency. The proposed method could also be applied in other public buildings.
Keywords: model predictive control (MPC); railway passenger station; radiant floor heating; hybrid air conditioning system; RC model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
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