Modelling the biomass updraft gasification process using the combination of a pyrolysis kinetic model and a thermodynamic equilibrium model

Cerinski, Damijan; Ferreiro, Ana Isabel; Baleta, Jakov; Costa, Mário; Zimbardi, Francesco; Cerone, N.; Wang, Jin

doi:10.1016/j.egyr.2021.05.079

Cited by 19 publications

(7 citation statements)

References 33 publications

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“…These models can be classified as process kinetic and thermodynamical models (P-KM-TEMs) because they apply chemical equilibrium to part of the chemical process but do not apply transport phenomena. Other articles that report simulations of the P-KM-TEM type specifically formulated for gasification and preferably for Aspen Plus can be found in [35][36][37][38] and, for pure pyrolysis, in [39].…”

Section: Equilibrium Modellingmentioning

confidence: 99%

“…The last term on the right-hand side of Equation ( 41) is not possible to compute due to there being no reactions nor kinetics defined to transform the species released from the solid phase to the gas phase. However, Equation (35) gives the same change in density but on an elemental basis obtained from the solid phase. Therefore, Equation ( 41) must be transformed to an elemental basis in order to be coupled with Equation (35) in the same dimension.…”

Section: Numerical Solutionmentioning

confidence: 99%

“…However, Equation (35) gives the same change in density but on an elemental basis obtained from the solid phase. Therefore, Equation ( 41) must be transformed to an elemental basis in order to be coupled with Equation (35) in the same dimension.…”

Section: Numerical Solutionmentioning

confidence: 99%

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Finite Rate Reaction Mechanism Adapted for Modelling Pseudo-Equilibrium Pyrolysis of Cellulose

Chandía

2022

Processes

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This manuscript is related to a formulation for modelling cellulose pyrolysis with a pseudo-equilibrium approach. The objective is to model the kinetics of the cellulose pyrolysis with a semi-global mechanism obtained from the literature in order to obtain the yield and the rate of formation, mainly that of char. The pseudo-equilibrium approach consists of the assumption that the solid phase devolatilisation can be described kinetically—at a finite rate—thus preserving the competitive characteristic between the production of char and tar, while the gas phase can be described directly by means of chemical equilibrium. The aforementioned approach gives a set of ordinary, linear, and nonlinear differential equations that are solved numerically with a consistent numerical scheme (i.e., the Totally Implicit Euler method). Chemical equilibrium was solved using CANTERA coupled with a code written in MATLAB. The results showed that the scheme preserved the tar-gas competitive characteristic for cellulose pyrolysis. The gas phase was defined as a mixture of CO2, CO, H2O, CH4, H2, and N2, showing a similar composition compared to models from the literature. Finally, the extension of the model to biomass in general is straightforward for including hemicellulose and lignin. The formulation is described in detail throughout the document in order to be replicated and evaluated for other biological components.

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Section: Equilibrium Modellingmentioning

confidence: 99%

Section: Numerical Solutionmentioning

confidence: 99%

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Finite Rate Reaction Mechanism Adapted for Modelling Pseudo-Equilibrium Pyrolysis of Cellulose

Chandía

2022

Processes

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“…Also, the This preprint research paper has not been peer reviewed. Electronic copy available at: https://ssrn.com/abstract=4385837 P r e p r i n t n o t p e e r r e v i e w e d information on the pyrolysis products is critical and can be utilized in developing the models for gasification of heavy residuals [28].…”

Section: Introductionmentioning

confidence: 99%

On the Products from the Pyrolysis of Heavy Fuel and Vacuum Residue Oil

Gautam¹,

Alabbad²,

Guevara³

et al. 2023

Preprint

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“…The authors found that the predicted model was in good agreement with the experimental work. Cerinski et al [ 35 ] proposed a pilot-scale biomass updraft gasifier model by combination of a pyrolysis kinetic model and a thermodynamic equilibrium model. In their study, pyrolysis process of biomass was modeled by kinetic mechanisms, and gasification process was modeled by minimization of Gibbs free energy approach.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of an Improved Updraft Biomass Gasifier Based on Aspen Plus

Zhu

Shen

et al. 2022

IJERPH

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In this paper, numerical investigation and optimization is conducted upon an improved updraft gasifier which is expected to overcome the weakness of conventional updraft gasifier. The comprehensive Aspen Plus model of the improved updraft gasifier is based on the RYield and RCSTR reactor. The tar prediction model is constructed, and the yield of tar is determined by the volatile of biomass and gasification temperature. The Aspen Plus simulation results agree very well with experiment results for the product yields and gasification efficiency, which shows the accuracy of the Aspen Plus model. The tar content in syngas of the improved gasifier is proved to be much lower than that of the conventional one by this model. The inflection point of the gasification efficiency occurs when air ratio is 0.25, and the optimum steam proportion in the air is 7.5%. Such a comprehensive investigation could provide necessary information for the optimal design and operation of the improved updraft gasifier.

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Modelling the biomass updraft gasification process using the combination of a pyrolysis kinetic model and a thermodynamic equilibrium model

Cited by 19 publications

References 33 publications

Finite Rate Reaction Mechanism Adapted for Modelling Pseudo-Equilibrium Pyrolysis of Cellulose

Finite Rate Reaction Mechanism Adapted for Modelling Pseudo-Equilibrium Pyrolysis of Cellulose

On the Products from the Pyrolysis of Heavy Fuel and Vacuum Residue Oil

Numerical Simulation of an Improved Updraft Biomass Gasifier Based on Aspen Plus

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