Real-time Estimation of Thermal Efficiency for Delayed Coking Furnace
Heating furnace is the key plant in the delayed coking unit. Thermal efficiency is one of the most important key performance indications. In this work, the thermal efficiency dynamic model is established based on the first principles of heat transfer equations and heat balance conditions. A joint particle filtering method combined with Kalman filter and particle filter is proposed in this work to correct the model prediction and the convergence of the proposed method has been analyzed. The real industrial application results have verified the feasibility and effectiveness of the proposed method.