Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61508
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building Services Engineeringen_US
dc.creatorCheng, Qen_US
dc.creatorWang, Sen_US
dc.creatorYan, Cen_US
dc.date.accessioned2016-12-19T08:56:07Z-
dc.date.available2016-12-19T08:56:07Z-
dc.identifier.issn0378-7788en_US
dc.identifier.urihttp://hdl.handle.net/10397/61508-
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 Cheng, Q., Wang, S., & Yan, C. (2016). Robust optimal design of chilled water systems in buildings with quantified uncertainty and reliability for minimized life-cycle cost. Energy and Buildings, 126, 159-169 is available at https://doi.org/10.1016/j.enbuild.2016.05.032en_US
dc.subjectChilled water systemen_US
dc.subjectReliabilityen_US
dc.subjectRobust optimal designen_US
dc.subjectTotal life-cycle costen_US
dc.subjectUncertaintyen_US
dc.titleRobust optimal design of chilled water systems in buildings with quantified uncertainty and reliability for minimized life-cycle costen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage159en_US
dc.identifier.epage169en_US
dc.identifier.volume126en_US
dc.identifier.doi10.1016/j.enbuild.2016.05.032en_US
dcterms.abstractConventional design of chilled water systems is typically based on the peak cooling loads of buildings, while the cooling load reaches its peak level for only a small proportion of time in a year. This results in that design flow of chilled water system could be significantly oversized in actual operation and it thus causes significant energy wastes. In this paper, a robust optimal design based on minimized life-cycle cost is proposed to optimize the design of chilled water pump systems while concerning the uncertainties of design inputs and models as well as the component reliability in operation. Monte Carlo simulation is used to generate the cooling load distribution and hydraulic resistance distribution by quantifying the uncertainties. Markov method is used to obtain the probability distribution of the system state. Under different control methods, this proposed design method minimizes the annual total cost. A case study on a building in Hong Kong is conducted to demonstrate the design process and validate the robust optimal design method. Results show that the system could operate at a relatively high efficiency and the minimum total life-cycle cost could be achieved.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnergy and buildings, 15 Aug. 2016, v. 126, p. 159-169en_US
dcterms.isPartOfEnergy and buildingsen_US
dcterms.issued2016-08-15-
dc.identifier.isiWOS:000381529300016-
dc.identifier.scopus2-s2.0-84969780582-
dc.identifier.ros2016005696-
dc.identifier.eissn1872-6178en_US
dc.identifier.rosgroupid2016005445-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201804_a bcmaen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRGC-B3-0549, BEEE-0769-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextMTR Corporation Limiteden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6644885-
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Wang_Robust_Optimal_Design.pdfPre-Published version958.7 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

141
Last Week
0
Last month
Citations as of Mar 24, 2024

Downloads

37
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

42
Last Week
0
Last month
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

33
Last Week
0
Last month
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.