Digital Directory
Intelligent Building Automation System (IBAS) has the ability to monitor and control various facilities within the building so as to offer its users or occupants with effective security, improved productivity, human comfort, and efficient energy management.
The main IBAS subsystems include Heat, Ventilation and Air Conditioning (HVAC),
Lighting Systems, Life and Safety System, and Access Control. This thesis focuses on the design implementation and development of HVAC and lighting controllers.
Currently, most HVAC systems are controlled using conventional controller which relies on process mathematical model. However, this type of controller is not suitable for system whose operating environment is nonlinear as in the case of HVAC. The introduction of lighting in the place where HVAC operates is a parameter that needs careful attention as it could influence the HVAC performance. To address this problem, this thesis proposes fuzzy logic controller with tuning mechanism via output scaling-factor method for HVAC system. The developed HVAC controller is specifically applied to Air Handling Unit (AHU) upstream process where mixing dampers are modulated to provide a lowest enthalpy of airstream entering AHU downstream process. This method is expected to improve HVAC performance that is measured in terms of thermal comfort level in the space it serves and the energy it consumes. The main function of HVAC is to overcome thermal load in the space it serves in order to provide desirable comfort to space occupants. This thermal load comes in two ways of heat transfer such as convection and radiation. Space lighting is a common source of heat transfer by radiation and therefore its intensity must be minimized to an acceptable level to reduce its effect on HVAC performance. This thesis includes the design of fuzzy logic controller for lighting systems. Since HVAC and lighting systems exhibit nonlinear processes, intelligent control
The main IBAS subsystems include Heat, Ventilation and Air Conditioning (HVAC),
Lighting Systems, Life and Safety System, and Access Control. This thesis focuses on the design implementation and development of HVAC and lighting controllers.
Currently, most HVAC systems are controlled using conventional controller which relies on process mathematical model. However, this type of controller is not suitable for system whose operating environment is nonlinear as in the case of HVAC. The introduction of lighting in the place where HVAC operates is a parameter that needs careful attention as it could influence the HVAC performance. To address this problem, this thesis proposes fuzzy logic controller with tuning mechanism via output scaling-factor method for HVAC system. The developed HVAC controller is specifically applied to Air Handling Unit (AHU) upstream process where mixing dampers are modulated to provide a lowest enthalpy of airstream entering AHU downstream process. This method is expected to improve HVAC performance that is measured in terms of thermal comfort level in the space it serves and the energy it consumes. The main function of HVAC is to overcome thermal load in the space it serves in order to provide desirable comfort to space occupants. This thermal load comes in two ways of heat transfer such as convection and radiation. Space lighting is a common source of heat transfer by radiation and therefore its intensity must be minimized to an acceptable level to reduce its effect on HVAC performance. This thesis includes the design of fuzzy logic controller for lighting systems. Since HVAC and lighting systems exhibit nonlinear processes, intelligent control