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    Indoor Air Quality and Brightness Control Using Fuzzy Logic in Intelligent Environments

    , M.Sc. Thesis Sharif University of Technology Boroomandfar, Parviz (Author) ; Manzuri, Mohammad Taghi (Supervisor) ; Nazari Shireh Jeini, Ali Asghar (Supervisor)
    Abstract
    The energy consumed by lighting, heating, ventilating, and air conditioning (LHVAC) systems have been increasing over the last decades. Thus, improving the efficiency of LHVAC systems has gained the attention of industry and academia. This concern has posed challenges for controlling and optimizing LHVAC systems. The traditional methods, such as on/off and PID approaches, usually involve conditions and parameters that may not hold in practice since LHVAC systems are complex, nonlinear, and dynamic. Also, controllers are one of the important components of a method for its efficiency. This research focuses on controlling LHVAC systems. Fuzzy logic controllers one of the best controller for... 

    Distributed Robust Model Predictive Control for Multi-zone Air Conditioning Systems

    , M.Sc. Thesis Sharif University of Technology Azim Mezerji, Hojat (Author) ; Moradi, Hamed (Supervisor)
    Abstract
    Optimizing the energy consumption of air conditioning systems has gained great importance in recent years. In addition, maintaining thermal comfort and air quality in buildings is important. The multi-evaporator air conditioning system, which is a direct expansion system, shows the complex and distributed structure of air conditioning systems due to the thermal connection between zones and its large scale. The modeling of these systems is associated with uncertainties. Therefore, designing a suitable control structure for multi-zone systems is very important to achieve optimal energy consumption and maintain comfort conditions in the presence of uncertainty. Model predictive control has been...