Online temperature estimation of Shell coal gasification process based on extended Kalman filter  

作　　者：Kangcheng Wang Jie Zhang Dexian Huang 

机构地区：[1]Department of Automation,Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China [2]School of Engineering,Merz Court,Newcastle University,Newcastle upon Tyne NE17RU,United Kingdom

出　　处：《Chinese Journal of Chemical Engineering》2022年第7期134-144,共11页中国化学工程学报（英文版）

基　　金：the funding from the National Natural Science Foundation of China ( 61673236 and 61873142);the Seventh Framework Programme of the European Union (P7PEOPLE-2013-IRSES-612230)

摘　　要：Obtaining the temperature inside the gasifier of a Shell coal gasification process(SCGP)in real-time is very important for safe process operation.However,this temperature cannot be measured directly due to the harsh operating condition.Estimating this temperature using the extended Kalman filter(EKF)based on a simplified mechanistic model is proposed in this paper.The gasifier is partitioned into three zones.The quench pipe and the transfer duct are seen as two additional zones.A simplified mechanistic model is developed in each zone and formulated as a state-space representation.The temperature in each zone is estimated by the EKF in real-time.The proposed method is applied to an industrial SCGP and the effectiveness of the estimated temperatures is verified by a process variable both qualitatively and quan-titatively.The prediction capability of the simplified mechanistic model is validated.The effectiveness of the proposed method is further verified by comparing it to a Kalman filter-based single-zone temperature estimation method.

关 键 词：Shell coalgasificationprocess Mechanistic modeling Temperature estimation Extended Kalmanfilter 

分 类 号：TQ546[化学工程—煤化学工程]