Model Predictive Control with Adaptive Building Model for Heating Using the Hybrid Air-Conditioning System in a Railway Station

A model predictive control (MPC) system with an adaptive building based on thermal-electrical analogy for the hybrid air conditioning using radiant floor and all-air heating is proposed in this paper to solve supply difficulties of railway station Tibetan Plateau. The MPC controller applies off-line method updating improve accuracy predicting indoor conditions. performance compared proportional-integral-derivative (PID) control, as well without through simulation constructed a TRNSYS-MATLAB co-simulation testbed. results show that implementation can thermal comfort reduce 22.2% energy consumption PID control. Compared model, achieves fewer violations constraints reduces by 11.5% periodic updating. This study focuses design maintain efficiency. could also be applied other public buildings.