This invention relates to the field of pulverizing
system operation optimization, specifically to an intelligent optimization method for pulverizing
system operating parameters based on
natural gas blending. When the
natural gas blending ratio changes, this invention calculates the target
coal feed rate required to maintain a constant total boiler load based on the changed blending ratio. The current
coal feed rate is then gradually adjusted according to a set adjustment amount. Based on the
coal feed rate of each adjustment cycle, combined with the current mill outlet temperature and the initial air-coal ratio obtained from the pulverizing
system's backend
database, the corresponding primary
air volume is determined, and the corresponding gas
mass flow rate is controlled for blending. Upon reaching the set number of adjustments, the total boiler load for subsequent adjustment cycles is collected. Combined with the predicted theoretical total boiler load at the target coal feed rate, the theoretical load deviation is calculated, and the loss coefficient caused by the primary
air volume is analyzed. Based on the loss coefficient, the initial air-coal ratio is updated, the coal feed rate is adjusted to the target coal feed rate, and the primary
air volume is adjusted according to the updated air-coal ratio.