Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102986
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorShan, Ken_US
dc.creatorWang, Sen_US
dc.creatorGao, DCen_US
dc.creatorXiao, Fen_US
dc.date.accessioned2023-11-17T02:59:16Z-
dc.date.available2023-11-17T02:59:16Z-
dc.identifier.issn0926-5805en_US
dc.identifier.urihttp://hdl.handle.net/10397/102986-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2016 Elsevier B.V. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Shan, K., Wang, S., Gao, D. C., & Xiao, F. (2016). Development and validation of an effective and robust chiller sequence control strategy using data-driven models. Automation in Construction, 65, 78-85 is available at https://doi.org/10.1016/j.autcon.2016.01.005.en_US
dc.subjectCentrifugal chilleren_US
dc.subjectChiller sequence controlen_US
dc.subjectData-driven modelsen_US
dc.subjectMeasurement erroren_US
dc.subjectOptimal chiller loadingen_US
dc.subjectRobust controlen_US
dc.titleDevelopment and validation of an effective and robust chiller sequence control strategy using data-driven modelsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage78en_US
dc.identifier.epage85en_US
dc.identifier.volume65en_US
dc.identifier.doi10.1016/j.autcon.2016.01.005en_US
dcterms.abstractChiller sequence control significantly affects the efficiency and operation stability of plants with multiple chillers. However, in real practice, the energy efficiency is commonly sacrificed to avoid uncertainties. Also, the strategies found in literature may be too complicated to be used practically. An effective and robust strategy for centrifugal chiller plants is therefore developed. The strategy innovatively utilizes chillers inlet guide vane openings as the load, and more particularly the energy efficiency indicator. A validation of the use of such an indicator is conducted using the in situ measurements from the chiller plant in a high-rise building. The strategy is compared with two other commonly used strategies through tests. In the ideal condition (no measurement errors), the proposed strategy saves 3% of the energy comparing to the original strategy. When systematic errors exist in the cooling load measurements, energy performance of the plant is not affected when controlled by the proposed strategy.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAutomation in construction, May 2016, v. 65, p. 78-85en_US
dcterms.isPartOfAutomation in constructionen_US
dcterms.issued2016-05-
dc.identifier.scopus2-s2.0-84959531035-
dc.identifier.eissn1872-7891en_US
dc.description.validate202310 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBEEE-0794-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextMTR Corporation Limiteden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6622939-
dc.description.oaCategoryGreen (AAM)en_US
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