Aiming at the problems of temperature oscillation, high exhaust heat loss and insufficient fuel utilization in regenerative organic waste gas incinerator under load fluctuation conditions, a thermal system model was constructed, and an intelligent optimization method of multi-source thermal parameters was proposed, which was compared with PID control on the test platform. The results show that the mean absolute temperature deviation is reduced by 43.8%, the auxiliary fuel flow rate is reduced by 12.6%, the comprehensive thermal efficiency is increased by 4.1 percentage points, and the VOC removal rate is 98.6%. The results show that the proposed method can take into account temperature stability, waste heat recovery and energy consumption control, which provides a new technical path for the efficient operation of regenerative organic waste gas incinerator.
