Please use this identifier to cite or link to this item: 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 
Keywords: Air temperature set-point
Building Management System (BMS)
Occupant perception
Thermal comfort
Issue Date: 2010
Publisher: Elsevier
Source: Automation in construction, 2010, v. 19, no. 6, p. 709-713 How to cite?
Journal: Automation in construction 
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.
URI: http://hdl.handle.net/10397/18713
ISSN: 0926-5805
EISSN: 1872-7891
DOI: 10.1016/j.autcon.2010.02.015
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