Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading

Chang-Ming Lin, Chun-Yin Wu, Ko-Ying Tseng, Chih-Chiang Ku and Sheng-Fuu Lin
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Chang-Ming Lin: Institute of Electrical and Control Engineering, National Chiao Tung University, No. 1001 University Road, Hsinchu 30010, Taiwan
Chun-Yin Wu: Department of Mechanical Engineering, Tatung University, 40 Zhongshan North Road, 3rd Section Taipei 104, Taiwan
Ko-Ying Tseng: Energy and Environment Research Laboratories, Industrial Technology Research Institute, Rm.820, Bldg.51, 8F, 195, Sec.4, Chung Hsing Rd., Chutung, Hsinchu 31040, Taiwan
Chih-Chiang Ku: Department of Mechanical Engineering, Tatung University, 40 Zhongshan North Road, 3rd Section Taipei 104, Taiwan
Sheng-Fuu Lin: Institute of Electrical and Control Engineering, National Chiao Tung University, No. 1001 University Road, Hsinchu 30010, Taiwan

Energies, 2019, vol. 12, issue 4, 1-12

Abstract: In Taiwan, over 45% of the energy in common buildings is used for the air-conditioning system. In particular, the chiller plant consumes about 70% of the energy in air-conditioning system. The electric energy consumption of air-condition system in a clean room of semiconductor factory is about 5–10 times of that in a common building. Consequently, the optimal chiller loading in energy saving of building is a vital issue. This paper develops a new algorithm to solve optimal chiller loading (OCL) problems. The proposed two-stage differential evolution algorithm integrated the advantages of exploration (global search) in the modified binary differential evolution (MBDE) algorithm and exploitation (local search) in the real-valued differential evolution (DE) algorithm for finding the optimal solution of OCL problems. In order to show the performance of the proposed algorithm, comparison with other optimization methods has been done and analyzed. The result shows that the proposed algorithm can obtain similar or better solution in comparison to previous studies. It is a promising approach for the OCL problem.

Keywords: energy saving; multi-chiller system; optimal chiller loading; two-stage differential evolution (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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