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Study on Optimal Supervisory Control in a Central Chilled Water System Based on Genetic Algorithm

MENG Hua 1,LONG Wei-ding 1,WANG Sheng-wei 2(1.Dept.of Building Facility and Management Engineering,Tongji University,Shanghai 200092,China; 2.Dept.of Building Services Engineering,Hong Kong Polytechnic University,Hongkong,China)  
A kind of real-time online optimal supervisory control strategy of a central chilled water system is presented.It can quickly forecast the optimal set points of different control variables with genetic algorithm.The simulating results show that it can minimize total energy consumption of the system compared with the way of fixed set points strategy and the local optimal supervisory one,while still keep control stability.
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