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An energy saving model predictive control for central air-conditioning system

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5 Author(s)
Zhangxian Wu ; Dept. of Autom., North China Electr. Power Univ., Beijing, China ; Guotian Yang ; Xiangjie Liu ; Xing Sheng
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In this paper, a model predictive control method is proposed to improve the performance on both temperature control and energy conservation for central air-conditioning system. Since the lack of consideration of the impact of cooling load can lead to a limitation on the energy saving effect, a cooling load model is proposed. Parameters in cooling load model, as well as the temperature model and energy consumption model are estimated. The optimal predictive controller is designed, and a chance constrained programming method is utilized to solve the optimal problem with stochastic parameters. Through a solution algorithm based on genetic algorithm, the control vector which can keep optimal in most uncertain cases can be acquired. The comparative results show the effectiveness of the proposed method.

Published in:

TENCON 2009 - 2009 IEEE Region 10 Conference

Date of Conference:

23-26 Jan. 2009