Experimental study on differential pressure reset method in self-adaptive adjustment algorithm for air conditioning chilled water systems

According to the terminal real-time demand, how to reset differential pressure with variable step size is one of the key problems in the research field of air conditioning chilled water system differential pressure reset. For optimizing and adjusting the setting value of pressure difference, proposes a variable differential pressure reset self-adaptive adjustment algorithm based on Mamdani fuzzy model, and compares with temperature difference referenced algorithm, outdoor temperature referenced algorithm, and linear adjustment algorithm. Investigates the energy saving potential, temperature control effect and most unfavorable thermodynamic loop elimination of four control methods by experiment. The results show that ensuring user’s energy supply demand, the method proposed saves at least 10.6% energy of the pump. Owing preferable online adaptability, the optimal control method presented in this paper enables to be flexibly applied to buildings with random load changes.