Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/18713
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Building Services Engineering | - |
dc.creator | Mui, KW | - |
dc.creator | Wong, LT | - |
dc.creator | Fong, NK | - |
dc.date.accessioned | 2015-06-23T09:07:49Z | - |
dc.date.available | 2015-06-23T09:07:49Z | - |
dc.identifier.issn | 0926-5805 | - |
dc.identifier.uri | http://hdl.handle.net/10397/18713 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2010 Elsevier B.V. All rights reserved | en_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.rights | The 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.subject | Air temperature set-point | en_US |
dc.subject | Building Management System (BMS) | en_US |
dc.subject | Occupant perception | en_US |
dc.subject | Thermal comfort | en_US |
dc.title | Optimization of indoor air temperature set-point for centralized air-conditioned spaces in subtropical climates | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 709 | - |
dc.identifier.epage | 713 | - |
dc.identifier.volume | 19 | - |
dc.identifier.issue | 6 | - |
dc.identifier.doi | 10.1016/j.autcon.2010.02.015 | - |
dcterms.abstract | Current 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.accessRights | open access | - |
dcterms.bibliographicCitation | Automation in construction, Oct. 2010, v. 19, no. 6, p. 709-713 | - |
dcterms.isPartOf | Automation in construction | - |
dcterms.issued | 2010-10 | - |
dc.identifier.isi | WOS:000281427900005 | - |
dc.identifier.scopus | 2-s2.0-77955581728 | - |
dc.identifier.eissn | 1872-7891 | - |
dc.identifier.rosgroupid | r48357 | - |
dc.description.ros | 2009-2010 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Accepted Manuscript | - |
dc.identifier.FolderNumber | a0680-n21 | - |
dc.identifier.SubFormID | 913 | - |
dc.description.fundingSource | RGC | - |
dc.description.fundingSource | Others | - |
dc.description.fundingText | RGC: Research Grants Council of the HKSAR, China (B-Q11W) | - |
dc.description.fundingText | Others: The Hong Kong Polytechnic University (Project A/C code: G-YX1Y) | - |
dc.description.pubStatus | Published | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
913_J607-1PF_Bayes_ACT2_20100103b_v2.pdf | Pre-Published version | 733.26 kB | Adobe PDF | View/Open |
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