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dc.contributor.authorLin, Chang-Mingen_US
dc.contributor.authorTseng, Ko-Yingen_US
dc.contributor.authorLin, Sheng-Fuuen_US
dc.date.accessioned2020-10-05T02:01:06Z-
dc.date.available2020-10-05T02:01:06Z-
dc.date.issued2020-01-01en_US
dc.identifier.issn0914-4935en_US
dc.identifier.urihttp://dx.doi.org/10.18494/SAM.2020.2812en_US
dc.identifier.urihttp://hdl.handle.net/11536/155147-
dc.description.abstractIn Taipei, over 45% of the energy used in buildings is for air-conditioning systems. In particular, multiple chiller systems consume about 70% of the energy in an air-conditioning system. Consequently, optimal chiller loading (OCL) or energy saving of a building is a vital issue. In this paper, we report a newly developed heuristic algorithm to solve OCL problems. A digital flow meter and a digital meter are installed to calculate the energy efficiency of a chiller. The exploration and exploitation of chiller loading can be efficiently improved without increasing the number of iterations by adopting the proposed modified artificial bee colony (MABC) algorithm. To demonstrate the performance of the proposed algorithm, it has been analyzed in comparison with other optimization methods. The result shows that the proposed algorithm can obtain a similar or better solution than previous algorithms. Therefore, it is a promising approach for solving the OCL problem.en_US
dc.language.isoen_USen_US
dc.subjectoptimal chiller loadingen_US
dc.subjectartificial bee colony algorithmen_US
dc.subjectenergy savingen_US
dc.titleOptimal Chiller Loading Using Modified Artificial Bee Colony Algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.18494/SAM.2020.2812en_US
dc.identifier.journalSENSORS AND MATERIALSen_US
dc.citation.volume32en_US
dc.citation.issue7en_US
dc.citation.spage2387en_US
dc.citation.epage2397en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000550692800005en_US
dc.citation.woscount0en_US
Appears in Collections:Articles