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Heating, ventilation, and air conditioning (HVAC) systems in commercial buildings consume a large proportion of energy in the world. One possible way to reduce the cost is to optimize HVAC operation through predictive control methods. Such approaches rely on dynamic models to meet comfort constraints and to minimize energy usage. In this paper, we employ two different model types: an resistance-capacitance...
A combustion optimizing model based on RBF neural networks is set up, and the optimizations of providing coal volume and real generating electricity power are actualized. At the same time, the simulation model is established by MATLAB. The simulation research is processed. The simulation result indicates: in the stabilization state, if the boiler load, power plant coal character (the distinctness...
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