Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18713
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building Services Engineering-
dc.creatorMui, KW-
dc.creatorWong, LT-
dc.creatorFong, NK-
dc.date.accessioned2015-06-23T09:07:49Z-
dc.date.available2015-06-23T09:07:49Z-
dc.identifier.issn0926-5805-
dc.identifier.urihttp://hdl.handle.net/10397/18713-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2010 Elsevier B.V. All rights reserveden_US
dc.rights© 2010. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Mui, K. W., Wong, L. T., & Fong, N. K. (2010). Optimization of indoor air temperature set-point for centralized air-conditioned spaces in subtropical climates. Automation in Construction, 19(6), 709-713 is available at https://doi.org/10.1016/j.autcon.2010.02.015.en_US
dc.subjectAir temperature set-pointen_US
dc.subjectBuilding Management System (BMS)en_US
dc.subjectOccupant perceptionen_US
dc.subjectThermal comforten_US
dc.titleOptimization of indoor air temperature set-point for centralized air-conditioned spaces in subtropical climatesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage709-
dc.identifier.epage713-
dc.identifier.volume19-
dc.identifier.issue6-
dc.identifier.doi10.1016/j.autcon.2010.02.015-
dcterms.abstractCurrent Building Management System (BMS) does not integrate well with real-time occupant response. In order to fine-tune the system to meet individual demands and to maximize the occupant acceptance of indoor thermal environment, a new notion of Bayesian control algorithm was developed in this study. Control parameters of a weighting function for air temperature control (namely, the control temperature constant kT and the probable acceptance of the air temperature set-point λ) and two prior distribution functions of air temperature set-point, namely the uniform prior and the expert's prior, were examined. Optimum air temperature set-points of air-conditioning systems obtained from certain Hong Kong offices were then used to demonstrate the applicability of the new algorithm for controlling an example air temperature set-point ranged between 0.2 °C and 1 °C. This algorithm would be useful for adaptive thermal comfort control in a large, post-occupied air-conditioned space.-
dcterms.accessRightsopen access-
dcterms.bibliographicCitationAutomation in construction, Oct. 2010, v. 19, no. 6, p. 709-713-
dcterms.isPartOfAutomation in construction-
dcterms.issued2010-10-
dc.identifier.isiWOS:000281427900005-
dc.identifier.scopus2-s2.0-77955581728-
dc.identifier.eissn1872-7891-
dc.identifier.rosgroupidr48357-
dc.description.ros2009-2010 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscript-
dc.identifier.FolderNumbera0680-n21-
dc.identifier.SubFormID913-
dc.description.fundingSourceRGC-
dc.description.fundingSourceOthers-
dc.description.fundingTextRGC: Research Grants Council of the HKSAR, China (B-Q11W)-
dc.description.fundingTextOthers: The Hong Kong Polytechnic University (Project A/C code: G-YX1Y)-
dc.description.pubStatusPublished-
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
913_J607-1PF_Bayes_ACT2_20100103b_v2.pdfPre-Published version733.26 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

119
Last Week
2
Last month
Citations as of Mar 24, 2024

Downloads

123
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

10
Last Week
0
Last month
0
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

10
Last Week
0
Last month
1
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


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