A Predictive Model for Coal Coking Based on Product Yield and Energy Balance
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 t...
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| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/18/4953 |
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| author | Marek Sciazko Bartosz Mertas Ludwik Kosyrczyk Aleksander Sobolewski |
| author_facet | Marek Sciazko Bartosz Mertas Ludwik Kosyrczyk Aleksander Sobolewski |
| author_sort | Marek Sciazko |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T16:09:34Z |
| format | Article |
| id | doaj.art-46b69a7d28c8481dab71e500e1d7a149 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T16:09:34Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-46b69a7d28c8481dab71e500e1d7a1492023-11-20T14:33:39ZengMDPI AGEnergies1996-10732020-09-011318495310.3390/en13184953A Predictive Model for Coal Coking Based on Product Yield and Energy BalanceMarek Sciazko0Bartosz Mertas1Ludwik Kosyrczyk2Aleksander Sobolewski3Institute for Chemical Processing of Coal, Zamkowa, 41-803 Zabrze, PolandInstitute for Chemical Processing of Coal, Zamkowa, 41-803 Zabrze, PolandInstitute for Chemical Processing of Coal, Zamkowa, 41-803 Zabrze, PolandInstitute for Chemical Processing of Coal, Zamkowa, 41-803 Zabrze, PolandA 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.https://www.mdpi.com/1996-1073/13/18/4953coal pyrolysiscoal cokingheat effect of pyrolysiskinetics of pyrolysispyrolytic reactions |
| spellingShingle | Marek Sciazko Bartosz Mertas Ludwik Kosyrczyk Aleksander Sobolewski A Predictive Model for Coal Coking Based on Product Yield and Energy Balance Energies coal pyrolysis coal coking heat effect of pyrolysis kinetics of pyrolysis pyrolytic reactions |
| title | A Predictive Model for Coal Coking Based on Product Yield and Energy Balance |
| title_full | A Predictive Model for Coal Coking Based on Product Yield and Energy Balance |
| title_fullStr | A Predictive Model for Coal Coking Based on Product Yield and Energy Balance |
| title_full_unstemmed | A Predictive Model for Coal Coking Based on Product Yield and Energy Balance |
| title_short | A Predictive Model for Coal Coking Based on Product Yield and Energy Balance |
| title_sort | predictive model for coal coking based on product yield and energy balance |
| topic | coal pyrolysis coal coking heat effect of pyrolysis kinetics of pyrolysis pyrolytic reactions |
| url | https://www.mdpi.com/1996-1073/13/18/4953 |
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