| Summary: | 碩士 === 大同大學 === 機械工程學系(所) === 106 === In Taiwan, over 30% of the energy in modern buildings is used for air-condition system. In particular, the chiller plant consumes about 70% of the energy in air-conditioning system. Optimal Chiller Loading (OCL) problem is a great significance for the electric energy consumption of heating, ventilation and air conditioning(HVAC) system. The differential evolution algorithm is applied in this study because it has good performance in global search and convergence for optimization search. For robustness of optimization search, the values of parameters of mutation and crossover are randomly selected between predetermined lower and upper bounds of parameters. In order to balance between exploration and exploitation of optimization search, three mutation mechanism are selected randomly during optimization process. An adaptive adjustment of values of parameters is used to improve local search. Same setting of parameters and mechanisms are applied to all cases in this study for OCL problem. In this article, different penalty function definitions are used to solve the OCL problem for improving the results of an optimized search. Comparisons with other research are made to verify the performance of proposed architecture of this study. The result shows that the proposed algorithm can obtain similar or better solution in comparing with previous studies.
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