Energy Consumption Reduction in Office Buildings Using Model-based Predictive Control
نویسندگان
چکیده
The system under study is an office building using two types of sources for heating: traditional gas boilers and energy-efficient, geothermal heat pumps. A Modelbased Predictive Control (MPC) strategy is suggested and tested in simulation, where the building is used as an active storage in order to decrease the morning peak loads and consequently the use of the boilers. The MPC algorithm aims at maintaining the comfort temperature during the working hours while minimizing the total demand in primary energy over one day. The strategy exhibits satisfactory results in terms of control performance and energy savings when compared to a standard proportional-integral (PI) control.
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