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Entrained-Flow Coal Gasification Process Simulation with the Emphasis on Empirical Char Conversion Models Optimization Procedure

Author

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  • Jakub Mularski

    (Department of Energy Conversion Engineering, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland)

  • Norbert Modliński

    (Department of Energy Conversion Engineering, Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland)

Abstract

Computational fluid dynamics (CFD) modeling of an entrained-flow reactor is demonstrated and compared with experimental data. The study is focused on char conversion modeling and its impact on gasification simulation results. An innovative procedure of optimizing input data to empirical char conversion kinetic-diffusion model is investigated, based on the complex carbon burnout kinetic model for oxidation (CBK/E) and gasification (CBK/G). The kinetics of the CBK/G model is determined using the data from char gasification experiments in a drop tube reactor. CFD simulations are performed for the laboratory-scale entrained-flow reactor at Brigham Young University for the bituminous coal. A substantial impact of applied kinetic parameters on the in-reactor gas composition and char conversion factor was observed. The effect was most considerable for the reduction zone, where gasification reactions dominate, although a non-negligible impact could also be observed in the flame zone. Based on the quantitative assessment of the incorporated optimization procedure, its application allowed to obtain one of the lowest errors of CO, H 2 , CO 2 , and H 2 O axial distribution with respect to the experimental data. The maximum errors for these species were equal to 18.48, 7.95, 10.15, and 20.22%, respectively, whereas the average errors were equal to 4.82, 5.47, 4.72, and 9.58%, respectively.

Suggested Citation

  • Jakub Mularski & Norbert Modliński, 2021. "Entrained-Flow Coal Gasification Process Simulation with the Emphasis on Empirical Char Conversion Models Optimization Procedure," Energies, MDPI, vol. 14(6), pages 1-20, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1729-:d:520951
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    References listed on IDEAS

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    1. Hao Luo & Lukasz Niedzwiecki & Amit Arora & Krzysztof Mościcki & Halina Pawlak-Kruczek & Krystian Krochmalny & Marcin Baranowski & Mayank Tiwari & Anshul Sharma & Tanuj Sharma & Zhimin Lu, 2020. "Influence of Torrefaction and Pelletizing of Sawdust on the Design Parameters of a Fixed Bed Gasifier," Energies, MDPI, vol. 13(11), pages 1-19, June.
    2. Dimitris Drikakis & Michael Frank & Gavin Tabor, 2019. "Multiscale Computational Fluid Dynamics," Energies, MDPI, vol. 12(17), pages 1-17, August.
    3. Jakub Mularski & Norbert Modliński, 2020. "Impact of Chemistry–Turbulence Interaction Modeling Approach on the CFD Simulations of Entrained Flow Coal Gasification," Energies, MDPI, vol. 13(23), pages 1-25, December.
    4. Augusto Della Torre & Gianluca Montenegro & Angelo Onorati & Sumit Khadilkar & Roberto Icarelli, 2019. "Multi-Scale CFD Modeling of Plate Heat Exchangers Including Offset-Strip Fins and Dimple-Type Turbulators for Automotive Applications," Energies, MDPI, vol. 12(15), pages 1-20, August.
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    Cited by:

    1. Marco Mancini & Andreas Schwabauer, 2023. "On the Thermal Stability of a Counter-Current Fixed-Bed Gasifier," Energies, MDPI, vol. 16(9), pages 1-36, April.
    2. Krzysztof M. Czajka, 2021. "Gasification of Coal by CO 2 : The Impact of the Heat Transfer Limitation on the Progress, Reaction Rate and Kinetics of the Process," Energies, MDPI, vol. 14(17), pages 1-22, September.

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