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

Lookup NU author(s): Kunpeng Wang, Dr Jie ZhangORCiD



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Monitoring the temperature inside the gasifier of a Shell coal gasification process (SCGP) is veryimportant for safe process operation. However, this temperature cannot be measured online due tothe 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 intothree zones. The quench pipe and the transfer duct are seen as two additional zones. A simplifiedmechanistic model is developed in each zone and formulated as a state-space representation. Thetemperature in each zone is estimated by the EKF in real-time. The proposed method is applied toan industrial SCGP and the accuracy of the estimated temperatures is verified by a process variableboth qualitatively and quantitatively. The prediction capability of the simplified mechanistic model isvalidated. The effectiveness of the proposed method is further verified by comparing it to a Kalmanfilter-based single-zone temperature estimation method.

Publication metadata

Author(s): Wang K, Zhang J, Huang D

Publication type: Article

Publication status: Published

Journal: Chinese Journal of Chemical Engineering

Year: 2022

Volume: 47

Pages: 134-144

Print publication date: 01/07/2022

Online publication date: 31/08/2021

Acceptance date: 11/07/2021

Date deposited: 12/07/2021

ISSN (print): 1004-9541

ISSN (electronic): 1004-9541

Publisher: Elsevier


DOI: 10.1016/j.cjche.2021.07.030


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