Usefulness of Lumped Kinetic Modeling

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Usefulness of Lumped Kinetic Modeling. / Lorbach, Sebastian-Mark; Lechleitner, Andreas; Zapf, Fabian et al.
In: Chem & bio engineering, Vol. 1.2024, No. 7, 30.04.2024, p. 623–632.

Research output: Contribution to journalArticleResearchpeer-review

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Lorbach SM, Lechleitner A, Zapf F, Lehner M. Usefulness of Lumped Kinetic Modeling. Chem & bio engineering. 2024 Apr 30;1.2024(7):623–632. doi: 10.1021/cbe.4c00032

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Lorbach, Sebastian-Mark ; Lechleitner, Andreas ; Zapf, Fabian et al. / Usefulness of Lumped Kinetic Modeling. In: Chem & bio engineering. 2024 ; Vol. 1.2024, No. 7. pp. 623–632.

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@article{a2fe9a4db1db4340ad8680dfc71a0ee4,
title = "Usefulness of Lumped Kinetic Modeling",
abstract = "Chemical recycling of plastic wastes through pyrolysis, gasification, or partial oxidation is a promising alternative to landfill disposal and incineration which must be applied in a future circular economy. These technologies enable the chemical industry, which currently heavily relies on crude oil, to obtain necessary chemical feedstock from postconsumer plastic waste. Kinetic models of pyrolysis and gasification reactions are required to dimension and design these processes on an industrial scale. The creation of detailed kinetic networks is often not feasible due to their complexity in this application, which is when the lumped kinetic modeling approach is used. This work develops and compares five lumped kinetic models for the co-pyrolysis of LDPE with a heavy petroleum fraction in a tubular reactor. A priori lumping is used for four models, and the fifth is created using a posteriori principle whereby in each model the product mixture is defined by eight lumps distinguished by their boiling point. The aim of this work is to compare different approaches for modeling reaction pathways in lumped kinetic models and to identify their impact on the predictive accuracy of the model. It was shown that all of the modeling approaches and the resulting models have similar prediction accuracies and deviations but with different kinetic parameters. Each model was used for a scale-up of an industrial-sized reactor to check whether the model had an influence on the design or predicted operation of the reactor.",
keywords = "Kunststoffrecycling, Chemisches Recycling, Pyrolyse, Modellierung",
author = "Sebastian-Mark Lorbach and Andreas Lechleitner and Fabian Zapf and Markus Lehner",
year = "2024",
month = apr,
day = "30",
doi = "10.1021/cbe.4c00032",
language = "English",
volume = "1.2024",
pages = "623–632",
journal = "Chem & bio engineering",
issn = "2836-967X",
publisher = "American Chemical Society",
number = "7",

}

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TY - JOUR

T1 - Usefulness of Lumped Kinetic Modeling

AU - Lorbach, Sebastian-Mark

AU - Lechleitner, Andreas

AU - Zapf, Fabian

AU - Lehner, Markus

PY - 2024/4/30

Y1 - 2024/4/30

N2 - Chemical recycling of plastic wastes through pyrolysis, gasification, or partial oxidation is a promising alternative to landfill disposal and incineration which must be applied in a future circular economy. These technologies enable the chemical industry, which currently heavily relies on crude oil, to obtain necessary chemical feedstock from postconsumer plastic waste. Kinetic models of pyrolysis and gasification reactions are required to dimension and design these processes on an industrial scale. The creation of detailed kinetic networks is often not feasible due to their complexity in this application, which is when the lumped kinetic modeling approach is used. This work develops and compares five lumped kinetic models for the co-pyrolysis of LDPE with a heavy petroleum fraction in a tubular reactor. A priori lumping is used for four models, and the fifth is created using a posteriori principle whereby in each model the product mixture is defined by eight lumps distinguished by their boiling point. The aim of this work is to compare different approaches for modeling reaction pathways in lumped kinetic models and to identify their impact on the predictive accuracy of the model. It was shown that all of the modeling approaches and the resulting models have similar prediction accuracies and deviations but with different kinetic parameters. Each model was used for a scale-up of an industrial-sized reactor to check whether the model had an influence on the design or predicted operation of the reactor.

AB - Chemical recycling of plastic wastes through pyrolysis, gasification, or partial oxidation is a promising alternative to landfill disposal and incineration which must be applied in a future circular economy. These technologies enable the chemical industry, which currently heavily relies on crude oil, to obtain necessary chemical feedstock from postconsumer plastic waste. Kinetic models of pyrolysis and gasification reactions are required to dimension and design these processes on an industrial scale. The creation of detailed kinetic networks is often not feasible due to their complexity in this application, which is when the lumped kinetic modeling approach is used. This work develops and compares five lumped kinetic models for the co-pyrolysis of LDPE with a heavy petroleum fraction in a tubular reactor. A priori lumping is used for four models, and the fifth is created using a posteriori principle whereby in each model the product mixture is defined by eight lumps distinguished by their boiling point. The aim of this work is to compare different approaches for modeling reaction pathways in lumped kinetic models and to identify their impact on the predictive accuracy of the model. It was shown that all of the modeling approaches and the resulting models have similar prediction accuracies and deviations but with different kinetic parameters. Each model was used for a scale-up of an industrial-sized reactor to check whether the model had an influence on the design or predicted operation of the reactor.

KW - Kunststoffrecycling

KW - Chemisches Recycling

KW - Pyrolyse

KW - Modellierung

U2 - 10.1021/cbe.4c00032

DO - 10.1021/cbe.4c00032

M3 - Article

VL - 1.2024

SP - 623

EP - 632

JO - Chem & bio engineering

JF - Chem & bio engineering

SN - 2836-967X

IS - 7

ER -