Energy saving of HVAC Systems by Using Model Predictive Control (MPC) - Tamizi, Khaled
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Model Predictive Control (MPC) is used to minimize the energy consumption of the HVAC system under the consideration of different inputs such as the outside temperature, the solar radiation, occupancy, energy price and the peak load, while these parameters are not taken into account by conventional control algorithms. Then comparing MPC with conventional HVAC control algorithms (two position(2P) and Proportional plus Integral (PI) Controls)

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Produktbeschreibung
Model Predictive Control (MPC) is used to minimize the energy consumption of the HVAC system under the consideration of different inputs such as the outside temperature, the solar radiation, occupancy, energy price and the peak load, while these parameters are not taken into account by conventional control algorithms. Then comparing MPC with conventional HVAC control algorithms (two position(2P) and Proportional plus Integral (PI) Controls)
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Autorenporträt
I completed my master's degree in the field of renewable energy and energy efficiency from Germany in 2014, completing my PhD in control of the power converter for renewable systems from University of Paris Sud XI -Paris-saclay in 2018. I am currently assistant professor in the Department of Mechanical Engineering at PPU - Palestine since 2015