省エネルギー化のためのソフトセンサを用いた加熱炉の酸素濃度制御

抄録

In process Industries, there is a growing trend toward low carbon society. Especially in oil refinement and petrochemical industries, furnaces consume a lot of energy. In order to reduce the energy consumption, excess O₂ has to be reduce safely. However, high gain O₂ control cannot be done due to L/T>1. Therefore, conventional O₂ controllers are operated with low gains. That is, high stable control performance for disturbances has not been able to obtain, then minimum excess O₂ control cannot be achieved. The proposed method which utilizes the estimated O₂ variable can derive much better control performance. Moreover, since the proposed estimation technique consists of a physical model part and a stochastic soft-sensor, both estimation accuracy and reliability for extrapolation can be obtained. The validity of the proposed scheme is verified through actual application results.