DEVELOPMENT OF HUMANIZED ADAPTIVE BASELINE INFORMATION TECHNOLOGY (HABIT) FOR ENVIRONMENTAL CONTROL SYSTEMS

Many existing Building Management systems (BMS) used for building services system control were notdesigned to incorporate records of occupant view and did not integrated the real-time occupantsresponse in order to fine tune the building services system to the individual demands in a dynamicmanner. This study based on a survey conducted for collecting occupants feedbacks towards indoorthermal environments, proposed a Bayesian approach in operation of building services systems ofair-conditioned buildings in a humid and subtropical climate in Hong Kong. It enables an adaptiveinterface relationship between occupants complaints of indoor thermal environment and the set point ofenvironmental control system. With the technology developed in this study, the design condition inexisting BMS systems would be updated automatically with occupants feedbacks. Compared withtraditional complaint and readjust-the-set-point process, the energy saving of air-conditioning systemin a hot and humid climate was demonstrated. This algorithm could be useful in optimization of theacceptance of an indoor thermal environment serving a group of occupants with a single set point, asdetermined by physical measurements and subjective surveys.