Detailed modelling of biomass steam gasification in a dual fluidized bed gasifier with temperature variation

Arash Aghaalikhani*, Johannes C. Schmid, Domenico Borello, Joseph Fuchs, Florian Benedikt, Herman Hofbauer, Franco Rispoli, Ulrick B. Henriksen, Zsuzsa Sárossy, Luca Cedola

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The modelling of biomass gasification enables the optimization of the process designs, but it is a challenge due to its high complexity. Here a model for prediction of the performance of a 100-kW dual bed fluidized biomass gasifier is derived and implemented in the ASPEN plus environment. Detailed pyrolysis modelling is properly addressed, and this is believed to be a key factor of this approach and enables more accurate results. The proposed model and its basic assumptions were extensively validated on a range of operating temperature by conducting experiments using softwood pellets as fuel and fresh olivine sand as bed material. The impact of the gasifier temperature variation on the final product gas composition is measured in the experiments and used to tune the model to have a better insight on the pyrolysis process, the char heterogeneous reactions as well as the deviation from equilibrium of the water gas-shift reaction. After the assessment phase, the model was applied to to the simulation of a real case experiments and measured gas yields. The results can be considered appropriate and the difference between prediction and measurement of H2, CO and CO2 are lower than 10%, while CH4/C2H4 show values that are slightly higher than 10%.

Original languageEnglish
JournalRenewable Energy
Volume143
Pages (from-to)703-718
ISSN0960-1481
DOIs
Publication statusPublished - 2019

Keywords

  • Biomass gasification
  • Dual fluidized bed
  • Power generation
  • Renewable energy
  • Thermo-chemical conversion

Cite this

Aghaalikhani, A., Schmid, J. C., Borello, D., Fuchs, J., Benedikt, F., Hofbauer, H., ... Cedola, L. (2019). Detailed modelling of biomass steam gasification in a dual fluidized bed gasifier with temperature variation. Renewable Energy, 143, 703-718. https://doi.org/10.1016/j.renene.2019.05.022
Aghaalikhani, Arash ; Schmid, Johannes C. ; Borello, Domenico ; Fuchs, Joseph ; Benedikt, Florian ; Hofbauer, Herman ; Rispoli, Franco ; Henriksen, Ulrick B. ; Sárossy, Zsuzsa ; Cedola, Luca. / Detailed modelling of biomass steam gasification in a dual fluidized bed gasifier with temperature variation. In: Renewable Energy. 2019 ; Vol. 143. pp. 703-718.
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abstract = "The modelling of biomass gasification enables the optimization of the process designs, but it is a challenge due to its high complexity. Here a model for prediction of the performance of a 100-kW dual bed fluidized biomass gasifier is derived and implemented in the ASPEN plus environment. Detailed pyrolysis modelling is properly addressed, and this is believed to be a key factor of this approach and enables more accurate results. The proposed model and its basic assumptions were extensively validated on a range of operating temperature by conducting experiments using softwood pellets as fuel and fresh olivine sand as bed material. The impact of the gasifier temperature variation on the final product gas composition is measured in the experiments and used to tune the model to have a better insight on the pyrolysis process, the char heterogeneous reactions as well as the deviation from equilibrium of the water gas-shift reaction. After the assessment phase, the model was applied to to the simulation of a real case experiments and measured gas yields. The results can be considered appropriate and the difference between prediction and measurement of H2, CO and CO2 are lower than 10{\%}, while CH4/C2H4 show values that are slightly higher than 10{\%}.",
keywords = "Biomass gasification, Dual fluidized bed, Power generation, Renewable energy, Thermo-chemical conversion",
author = "Arash Aghaalikhani and Schmid, {Johannes C.} and Domenico Borello and Joseph Fuchs and Florian Benedikt and Herman Hofbauer and Franco Rispoli and Henriksen, {Ulrick B.} and Zsuzsa S{\'a}rossy and Luca Cedola",
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Aghaalikhani, A, Schmid, JC, Borello, D, Fuchs, J, Benedikt, F, Hofbauer, H, Rispoli, F, Henriksen, UB, Sárossy, Z & Cedola, L 2019, 'Detailed modelling of biomass steam gasification in a dual fluidized bed gasifier with temperature variation', Renewable Energy, vol. 143, pp. 703-718. https://doi.org/10.1016/j.renene.2019.05.022

Detailed modelling of biomass steam gasification in a dual fluidized bed gasifier with temperature variation. / Aghaalikhani, Arash; Schmid, Johannes C.; Borello, Domenico; Fuchs, Joseph; Benedikt, Florian; Hofbauer, Herman; Rispoli, Franco; Henriksen, Ulrick B.; Sárossy, Zsuzsa; Cedola, Luca.

In: Renewable Energy, Vol. 143, 2019, p. 703-718.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Detailed modelling of biomass steam gasification in a dual fluidized bed gasifier with temperature variation

AU - Aghaalikhani, Arash

AU - Schmid, Johannes C.

AU - Borello, Domenico

AU - Fuchs, Joseph

AU - Benedikt, Florian

AU - Hofbauer, Herman

AU - Rispoli, Franco

AU - Henriksen, Ulrick B.

AU - Sárossy, Zsuzsa

AU - Cedola, Luca

PY - 2019

Y1 - 2019

N2 - The modelling of biomass gasification enables the optimization of the process designs, but it is a challenge due to its high complexity. Here a model for prediction of the performance of a 100-kW dual bed fluidized biomass gasifier is derived and implemented in the ASPEN plus environment. Detailed pyrolysis modelling is properly addressed, and this is believed to be a key factor of this approach and enables more accurate results. The proposed model and its basic assumptions were extensively validated on a range of operating temperature by conducting experiments using softwood pellets as fuel and fresh olivine sand as bed material. The impact of the gasifier temperature variation on the final product gas composition is measured in the experiments and used to tune the model to have a better insight on the pyrolysis process, the char heterogeneous reactions as well as the deviation from equilibrium of the water gas-shift reaction. After the assessment phase, the model was applied to to the simulation of a real case experiments and measured gas yields. The results can be considered appropriate and the difference between prediction and measurement of H2, CO and CO2 are lower than 10%, while CH4/C2H4 show values that are slightly higher than 10%.

AB - The modelling of biomass gasification enables the optimization of the process designs, but it is a challenge due to its high complexity. Here a model for prediction of the performance of a 100-kW dual bed fluidized biomass gasifier is derived and implemented in the ASPEN plus environment. Detailed pyrolysis modelling is properly addressed, and this is believed to be a key factor of this approach and enables more accurate results. The proposed model and its basic assumptions were extensively validated on a range of operating temperature by conducting experiments using softwood pellets as fuel and fresh olivine sand as bed material. The impact of the gasifier temperature variation on the final product gas composition is measured in the experiments and used to tune the model to have a better insight on the pyrolysis process, the char heterogeneous reactions as well as the deviation from equilibrium of the water gas-shift reaction. After the assessment phase, the model was applied to to the simulation of a real case experiments and measured gas yields. The results can be considered appropriate and the difference between prediction and measurement of H2, CO and CO2 are lower than 10%, while CH4/C2H4 show values that are slightly higher than 10%.

KW - Biomass gasification

KW - Dual fluidized bed

KW - Power generation

KW - Renewable energy

KW - Thermo-chemical conversion

U2 - 10.1016/j.renene.2019.05.022

DO - 10.1016/j.renene.2019.05.022

M3 - Journal article

VL - 143

SP - 703

EP - 718

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

ER -