Nonlinear Model Predictive Controller for Heating System
نویسندگان
چکیده
Abstract. The principle of the energy saving algorithm in buildings is based on lowering the night-time temperature and increasing (preheating) it in the morning. One important problem of this strategy consists in keeping peek demand of energy below the maximum power of the central energy source. A model-reference nonlinear predictive control algorithm is studied and the effects of peak power demand reduction are compared with linear control method. Stability of the predictive control system is analyzed.
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