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A Predictive Model for Coal Coking Based on Product Yield and Energy Balance

Author

Listed:
  • Marek Sciazko

    (Institute for Chemical Processing of Coal, Zamkowa, 41-803 Zabrze, Poland)

  • Bartosz Mertas

    (Institute for Chemical Processing of Coal, Zamkowa, 41-803 Zabrze, Poland)

  • Ludwik Kosyrczyk

    (Institute for Chemical Processing of Coal, Zamkowa, 41-803 Zabrze, Poland)

  • Aleksander Sobolewski

    (Institute for Chemical Processing of Coal, Zamkowa, 41-803 Zabrze, Poland)

Abstract

A series of experimental coal pyrolysis studies were conducted to define the parameters of a kinetic model to enable complete mass and energy balances by identifying basic process products. The developed model determines the chemical enthalpy of pyrolytic reactions, making it possible to determine the share of exothermic conversions in the coking process. To validate the model, a series of experimental pyrolysis tests of coking coals used in the coke plant and their blends were conducted, including TGA, retort, and industrial coke oven scale. Despite significant differences in the chemical composition of various coal types, element balancing allowed detection of the difference in product composition and the heat effects of the chemical conversion of such a complex substance as coal. Analysis of the heat effects of pyrolytic coal decomposition indicates substantial variability. In the first coking period, there are endothermic reactions; in the second, exothermic reactions occur. Average heat effect of the pyrolytic reaction for whole coking period is exothermic and, depending on the coal type, ranges from −5 to −50 kJ/kg. The model herein can be used to analyze many other pyrolytic processes because it also takes into account the heating rate.

Suggested Citation

  • Marek Sciazko & Bartosz Mertas & Ludwik Kosyrczyk & Aleksander Sobolewski, 2020. "A Predictive Model for Coal Coking Based on Product Yield and Energy Balance," Energies, MDPI, vol. 13(18), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4953-:d:416960
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    Citations

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    Cited by:

    1. Lei, Yang & Chen, Yuming & Chen, Jinghai & Liu, Xinyan & Wu, Xiaoqin & Chen, Yuqiu, 2023. "A novel modeling strategy for the prediction on the concentration of H2 and CH4 in raw coke oven gas," Energy, Elsevier, vol. 273(C).
    2. Michał Rejdak & Andrzej Strugała & Aleksander Sobolewski, 2021. "Stamp-Charged Coke-Making Technology—The Effect of Charge Density and the Addition of Semi-Soft Coals on the Structural, Textural and Quality Parameters of Coke," Energies, MDPI, vol. 14(12), pages 1-31, June.
    3. Jolanta Telenga-Kopyczyńska & Izabela Jonek-Kowalska, 2021. "Algorithm for Selecting Best Available Techniques in Polish Coking Plants Supporting Multi-Criteria Investment Decisions in European Environmental Conditions," Energies, MDPI, vol. 14(9), pages 1-24, May.
    4. Ludwik Kosyrczyk & Slawomir Stelmach & Krzysztof Gaska & Agnieszka Generowicz & Natalia Iwaszczuk & Dariusz Kardaś, 2021. "Optimization of Thermal Parameters of the Coke Oven Battery by Modified Methodology of Temperature Measurement in Heating Flues as the Management Tool in the Cokemaking Industry," Energies, MDPI, vol. 14(4), pages 1-13, February.
    5. Marek Sciazko & Aleksander Sobolewski, 2021. "Special Issue [Energies] “Clean Utilization and Conversion Technology of Coal”," Energies, MDPI, vol. 14(15), pages 1-3, July.

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