Flexible Control Strategy for Intelligent Building Air Conditioning System

An improved optimization adjustment strategy for building heating ventilation and air conditioning (Heating Ventilation Air Conditioning, HVAC) is proposed. The energy consumption model of heating/refrigeration established by using the instantaneous balance heat, then optimal operation HVAC based on weather forecast data constructed in range user temperature comfort. Finally, MATLAB TRNSYS simulation techniques are used to verify example. Simulation results show that can not only significantly reduce cost use, but also effectively improve absorption capacity renewable side.