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Yu, Zhen; dexter, Arthur Arthur. SIMULATION BASED PREDICTIVE CONTROL OF LOW-ENERGY BUILDING SYSTEM USING TWO-STAGE OPTIMIZATION. INTERNATIONAL IBPSA CONFERENCE, 11., 2009, Glasgow, Scotland.
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Abstract

Simulation based control schemes for a low-energy building system are introduced and compared in this paper. The simulation of a low-energy system is firstly constructed and a fast two-stage optimisation method is proposed to find the optimal control policy in short time. A Model Predictive Control (MPC) scheme and a Hierarchical Fuzzy Rule based Control (HFRC) scheme that is tuned online by a reinforcement learning (RL) agent are introduced. The MPC scheme runs the simulation online to predict the future behaviour in order to make long- term optimal decisions. On the other hand, the HFRC+RL scheme run the simulation offline to generate prior knowledge for the RL agent. The performances of the different schemes are evaluated by comparing energy consumption, thermal comfort and computing time.
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