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A machine-learning reduced kinetic model for H2S thermal conversion process

  • Anna Dell’Angelo , Ecem Muge Andoglu , Suleyman Kaytakoglu and Flavio Manenti EMAIL logo
Published/Copyright: December 10, 2021
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Chemical Product and Process Modeling
From the journal Chemical Product and Process Modeling Volume 18 Issue 1

Abstract

H2S is becoming more and more appealing as a source for hydrogen and syngas generation. Its hydrogen production potential is studied by several research groups by means of catalytic and thermal conversions. While the characterization of catalytic processes is strictly dependent on the catalyst adopted and difficult to be generalized, the characterization of thermal processes can be brought back to wide-range validity kinetic models thanks to their homogeneous reaction environments. The present paper is aimed at providing a reduced kinetic scheme for reliable thermal conversion of H2S molecule in pyrolysis and partial oxidation thermal processes. The proposed model consists of 10 reactions and 12 molecular species. Its validation is performed by numerical comparisons with a detailed kinetic model already validated by literature/industrial data at the operating conditions of interest. The validated reduced model could be easily adopted in commercial process simulators for the flow sheeting of H2S conversion processes.

Keywords: Claus process; H2S to H2; H2S to syngas; hydrogen sulfide; kinetic model
Corresponding author: Flavio Manenti, Department of Chemical Engineering, Politecnico di Milano, Milan, Italy, E-mail:

Acknowledgments

The collaboration between Politecnico di Milano, Bilecik Seyh Edebali University and Eskisehir Technical University was sponsored by the Scientific and Technological Research Council of Turkey (TUBITAK) 2214/A Doctoral Research Grant Program. Also, authors gratefully acknowledge the invaluable support of M.D. Eng. Mariachiara Steffanini and M.D. Eng. Andrea Panico for their constant work during the M.Sc. Thesis project at the Sustainable Process Engineering Research Centre at CMIC Dept. “Giulio Natta” of Politecnico di Milano.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2021-07-12
Accepted: 2021-10-26
Published Online: 2021-12-10

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/cppm-2021-0044
Keywords for this article
Claus process; H2S to H2; H2S to syngas; hydrogen sulfide; kinetic model

Articles in the same Issue

  1. Frontmatter
  2. Research Articles
  3. Nonlinear autoregressive-moving average-L2 (NARMA-L2) controller for multivariable ball mill plant
  4. An enhanced feedback-feedforward control scheme for process industries
  5. Appling the computational fluid dynamics studies of the thermogravitational column for N2-CO2 and He-Ar gas mixtures separation
  6. An enhancement in series cascade control for non-minimum phase system
  7. Modelling and simulation of industrial multistage flash desalination process with exergetic and thermodynamic analysis. A case study of Azzour seawater desalination plant
  8. Development of a CFD-based simulation model and optimization of thermal diffusion column: application on noble gas separation
  9. A machine-learning reduced kinetic model for H2S thermal conversion process
  10. Design strategies for oxy-combustion power plant captured CO2 purification
  11. Energy-saving investigation of vacuum reactive distillation for the production of ethyl acetate
  12. Reducing total annual cost and CO2 emissions in batch distillation for separating ternary wide boiling mixtures using vapor recompression heat pump
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