Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading
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&...
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| Format: | Article |
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MDPI AG
2019-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/4/622 |
| _version_ | 1811297666269708288 |
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| author | Chang-Ming Lin Chun-Yin Wu Ko-Ying Tseng Chih-Chiang Ku Sheng-Fuu Lin |
| author_facet | Chang-Ming Lin Chun-Yin Wu Ko-Ying Tseng Chih-Chiang Ku Sheng-Fuu Lin |
| author_sort | Chang-Ming Lin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T06:07:51Z |
| format | Article |
| id | doaj.art-5707cde7fbf04ece9a29d525cfa9d132 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T06:07:51Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5707cde7fbf04ece9a29d525cfa9d1322022-12-22T02:59:11ZengMDPI AGEnergies1996-10732019-02-0112462210.3390/en12040622en12040622Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller LoadingChang-Ming Lin0Chun-Yin Wu1Ko-Ying Tseng2Chih-Chiang Ku3Sheng-Fuu Lin4Institute of Electrical and Control Engineering, National Chiao Tung University, No. 1001 University Road, Hsinchu 30010, TaiwanDepartment of Mechanical Engineering, Tatung University, 40 Zhongshan North Road, 3rd Section Taipei 104, TaiwanEnergy and Environment Research Laboratories, Industrial Technology Research Institute, Rm.820, Bldg.51, 8F, 195, Sec.4, Chung Hsing Rd., Chutung, Hsinchu 31040, TaiwanDepartment of Mechanical Engineering, Tatung University, 40 Zhongshan North Road, 3rd Section Taipei 104, TaiwanInstitute of Electrical and Control Engineering, National Chiao Tung University, No. 1001 University Road, Hsinchu 30010, TaiwanIn 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.https://www.mdpi.com/1996-1073/12/4/622energy savingmulti-chiller systemoptimal chiller loadingtwo-stage differential evolution |
| spellingShingle | Chang-Ming Lin Chun-Yin Wu Ko-Ying Tseng Chih-Chiang Ku Sheng-Fuu Lin Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading Energies energy saving multi-chiller system optimal chiller loading two-stage differential evolution |
| title | Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading |
| title_full | Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading |
| title_fullStr | Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading |
| title_full_unstemmed | Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading |
| title_short | Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading |
| title_sort | applying two stage differential evolution for energy saving in optimal chiller loading |
| topic | energy saving multi-chiller system optimal chiller loading two-stage differential evolution |
| url | https://www.mdpi.com/1996-1073/12/4/622 |
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