Abstract
The reaction temperature plays an important role in the Shell coal gasification process (SCGP). Research on the estimation of the reaction temperature is investigated, and a modeling method, which integrates mechanism analysis and data analytics, is adopted in this work. The SCGP is briefly introduced, and a typical fault closely related to the reaction temperature is analyzed. Mechanistic models of main building blocks are developed, and state-space models are established. The Kalman Filter algorithm is applied to estimate the reaction temperature. An industrial case study is performed to validate the effectiveness of the proposed method. The estimated reaction temperature has a reasonable range, and it is validated by CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> concentration. By monitoring the estimated reaction temperature, operators can observe the changes in operating conditions much earlier. The failure-free time length can be increased, and more economic benefits can be achieved.
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