Bias air temperature set-point for occupant thermal complaints via Bayesian algorithm

C. T. Cheung, Kwok Wai Mui, Ling Tim Wong, Nai Kong Fong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Current Building Management System (BMS) does not integrate well with real-time occupant response. A Bayesian control algorithm is presented in this study for fine-tuning the system to meet individual demands and to maximize the occupant acceptance of thermal environment of centralized air-conditioned offices. A weighting function for air temperature control using two control parameters(namely, the control temperature constant k T and the probable acceptance of the air temperature set-point λ) and two prior control functions of air temperature set-point (namely the uniform prior and the expert's prior) were examined for the algorithm Optimum air temperature set-points of air-conditioning systems obtained from certain Hong Kong offices were then used to demonstrate the applicability of the algorithm for controlling air temperature set-point within an example range. This algorithm would be useful for adaptive thermal comfort control in a large, post-occupied air-conditioned space.
Original languageEnglish
Title of host publication7th International Symposium on Heating, Ventilating and Air Conditioning - Proceedings of ISHVAC 2011
Number of pages6
Publication statusPublished - 1 Dec 2011
Event7th International Symposium on Heating, Ventilating and Air Conditioning, ISHVAC 2011 - Shanghai, China
Duration: 6 Nov 20119 Nov 2011


Conference7th International Symposium on Heating, Ventilating and Air Conditioning, ISHVAC 2011


  • Air temperature set-point
  • Building Management System (BMS)
  • Occupant perception
  • Thermal comfort

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)

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