SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2022, Vol. 47 ›› Issue (7): 134-144.DOI: 10.1016/j.cjche.2021.07.030

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

Kangcheng Wang1,2, Jie Zhang2, Dexian Huang1   

  1. 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 NE1 7RU, United Kingdom
  • Received:2020-12-31 Revised:2021-06-13 Online:2022-08-19 Published:2022-07-28
  • Contact: Dexian Huang,E-mail:huangdx@tsinghua.edu.cn
  • Supported by:
    The authors appreciate the funding from the National Natural Science Foundation of China (61673236 and 61873142) and the Seventh Framework Programme of the European Union (P7-PEOPLE-2013-IRSES-612230). The authors also thank Eng. Yue Yang, Prof. Fan Yang, Prof. Yongheng Jiang, Prof. Chao Shang, and Dr. Wenxiang Lv for helpful discussions. Kangcheng Wang especially appreciates the help of Dr. Haowei Hu.

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

Kangcheng Wang1,2, Jie Zhang2, Dexian Huang1   

  1. 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 NE1 7RU, United Kingdom
  • 通讯作者: Dexian Huang,E-mail:huangdx@tsinghua.edu.cn
  • 基金资助:
    The authors appreciate the funding from the National Natural Science Foundation of China (61673236 and 61873142) and the Seventh Framework Programme of the European Union (P7-PEOPLE-2013-IRSES-612230). The authors also thank Eng. Yue Yang, Prof. Fan Yang, Prof. Yongheng Jiang, Prof. Chao Shang, and Dr. Wenxiang Lv for helpful discussions. Kangcheng Wang especially appreciates the help of Dr. Haowei Hu.

Abstract: 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 quantitatively. 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.

Key words: Shell coal gasification process, Mechanistic modeling, Temperature estimation, Extended Kalman filter

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 quantitatively. 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 coal gasification process, Mechanistic modeling, Temperature estimation, Extended Kalman filter