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http://hdl.handle.net/10397/18713
| Title: | Optimization of indoor air temperature set-point for centralized air-conditioned spaces in subtropical climates | Authors: | Mui, KW Wong, LT Fong, NK |
Issue Date: | Oct-2010 | Source: | Automation in construction, Oct. 2010, v. 19, no. 6, p. 709-713 | 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. | Keywords: | Air temperature set-point Building Management System (BMS) Occupant perception Thermal comfort |
Publisher: | Elsevier | Journal: | Automation in construction | ISSN: | 0926-5805 | EISSN: | 1872-7891 | DOI: | 10.1016/j.autcon.2010.02.015 | Rights: | © 2010 Elsevier B.V. All rights reserved © 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/. 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. |
| Appears in Collections: | Journal/Magazine Article |
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| 913_J607-1PF_Bayes_ACT2_20100103b_v2.pdf | Pre-Published version | 733.26 kB | Adobe PDF | View/Open |
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