An improved indoor thermal preference indicator based on distributed consensus algorithm

Driven by the strong demands in the green buildings for saving energy consumption and increasing the human thermal comfort, an improved indoor thermal preference indicator based on distributed consensus algorithm is proposed. To this end, a temperature-energy model derived by the temperature-load model and load-energy model is addressed first. On this basis, an improved indoor thermal preference indicator is proposed. It is followed by the distributed consensus algorithm based on the alternating direction method of multipliers for optimizing the proposed indicator. The feasibility of the proposed algorithm is demonstrated by a case study on the multizone building system.