Optimization for the Chilled Water System of HVAC Systems in an Intelligent Building

The energy saving issue of chilled water system in an intelligent building is analyzed from the systematic point of view and an optimum scheduling scheme which can save energy of the system facilities and satisfy the constraints of the real time cold loads and system running is also proposed. It can make the minimum cost of the system by optimizing the number of running chillers, running parameters and the distribution of real time loads of running chillers. The improved genetic algorithm is used in the optimum scheduling scheme. The computation results show that the building energy consumption can be decreased by about 7.4 %.