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In the paper there are presented the problems of optimal control for indoor thermal comfort in classroom equipped with HVAC (Heating, Ventilation and Air Conditioning) systems. It is very important that the design of such HVAC control systems allows to minimize the energy consumption and to maximize microclimate comfort sensation. There are discussed the results of modeling the classroom using building...
In order to increase the utilization of renewable energy sources and to reduce the need of generator-provided ancillary services and inefficient peaking generation, buildings are progressively transforming into smarter electricity consumers and active participants in power system operations. In this work, an R-C thermodynamic model of building that strongly relates to the power consumption of heating...
This paper presents a Model Predictive Controller (MPC) for electrical heaters' predictive power consumption including maximizing the use of local generation (e.g. solar power) in an intelligent building. The MPC is based on dynamic power price and weather forecast, considering users' comfort settings to meet an optimization objective such as minimum cost and minimum reference temperature error. It...
This paper describes model based heating control of a residential building with multiple boilers installed. Linear state space model of a real residential building is derived from test data, and Model Predictive Controller for this model is designed is used to control its temperature. The simulation results are analyzed and compared to that of a conventional (PID) controller. Model predictive controller...
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