Evaluation of different biomass gasification modeling approaches for fluidized bed gasifiers

Mirmoshtaghi, Guilnaz; Li, Hailong; Dahlquist, Erik

doi:10.1016/j.biombioe.2016.05.002

Cited by 47 publications

(20 citation statements)

References 33 publications

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“…A mathematical model adopting the COMMENT code has been used to analyze the effects of multifarious operating parameters . In the event that the existing models and formulas can be further modified by adding additional experimental data, the improved models will predict the product composition more accurately …”

Section: Introductionmentioning

confidence: 99%

“…Steam gasification has drawn a great deal of attention to realize a higher H 2 /CO ratio and hydrogen yield. A substantial amount of experimental work has been performed on a downdraft gasifier with steam . Numerous simulation studies have been compared with experimental results .…”

Section: Introductionmentioning

confidence: 99%

“…28 In the event that the existing models and formulas can be further modified by adding additional experimental data, the improved models will predict the product composition more accurately. 32,33 The advantages and disadvantages of certain types of gasifiers are listed in the study by Samiran. 19 The self-moisture gasification of fresh biomass is an innovative method of biomass application that is different from conventional gasification.…”

Section: Introductionmentioning

confidence: 99%

“…A substantial amount of experimental work has been performed on a downdraft gasifier with steam. 21,24,25,30,32 Numerous simulation studies have been compared with experimental results. 23,27,30,31 However, there is no unified conclusion.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of biomass (pine wood) gasification: Experiments and Aspen Plus simulation

Huang

Jin

2019

Energy Science & Engineering

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Biomass gasification is currently a hot research topic. To achieve a high hydrogen content in the product gas, the gasification feedstock used in this study is air‐dried pine woodchips. Experiments are performed in a downdraft gasifier by varying the operation parameters of the particle size (60 mesh, 80 mesh, 100 mesh), temperature point (700, 750, 800, 850, 900°C), and steam‐to‐biomass mass (S/B) ratio (0, 0.7, 1.4, 2.1, 2.8). The main effects of particle size, temperature, and S/B ratio on the composition of the product gas are analyzed to predict the optimal operation parameters of biomass feedstock. For pine woodchip gasification, the optimal particle size is 80 mesh or 0.17 mm, the preferred temperature is 850°C, and the optimal S/B ratio is 1.4. Although there is an error between the experiment and the simulation, the difference is not significant. The Aspen Plus model can provide guidance for the gasification of pine woodchips and can be extended to the gasification of other kinds of biomass.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation of biomass (pine wood) gasification: Experiments and Aspen Plus simulation

Huang

Jin

2019

Energy Science & Engineering

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“…The unique contaminant compound considered by Arteaga-Pèrez et al was naphthalene, and the only oxidizing agent was air. Mirmoshtaghi et al [22] developed a model for biomass gasification in a fluidized-bed gasifiers with QET by using Aspen Plus, predicting the content (volume fraction) of the four major components (H 2 , CO, CO 2 and CH 4 ) in product gas and not considering any kind of contaminants. The oxidizing agent was only air.…”

Section: Introductionmentioning

confidence: 99%

Development of a Chemical Quasi-Equilibrium Model of Biomass Waste Gasification in a Fluidized-Bed Reactor by Using Aspen Plus

2019

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In the delicate context of climate change, biomass gasification has been demonstrated to be a very useful technology to produce power and hydrogen. Nevertheless, in literature, there is a lack of a flexible and fast but accurate model of biomass gasification that can be used with all the combinations of oxidizing agents, taking into account both organic and inorganic contaminants, and able to give results that are more realistic. In order to do that, a model of biomass gasification has been developed using the chemical engineering software Aspen Plus. The developed model is based on the Gibbs free energy minimization applying the restricted quasi-equilibrium approach via Data-Fit regression from experimental data. The simulation results obtained, considering different mixes of gasifying agents, were compared and validated against experimental data reported in literature for the most advanced fluidized bed technology. The maximum discrepancy value obtained for hydrogen, with respect to experimental data, is of 8%, and all the other values reached by the developed simulations, considering both organic and inorganic compounds, are in good agreement with literature data. The gas yield reached by the developed simulation is in the range of 1.1-1.3 Nm 3 /kg. Author Contributions: Conceptualization, E.B.; methodology, V.M., E.B.; software, V.M.; validation, V.M., E.B.; resources, E.B.; data curation, V.M.; writing-original draft preparation, V.M.; writing-review and editing, V.M., E.B. and D.M.; supervision, E.B. and D.M.; project administration, E.B.; funding acquisition, E.B. All authors have read and agreed to the published version of the manuscript.

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A review of thermochemical decomposition techniques for biochar production

Do,

Nguyen

2024

Environ Dev Sustain

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Evaluation of different biomass gasification modeling approaches for fluidized bed gasifiers

Cited by 47 publications

References 33 publications

Investigation of biomass (pine wood) gasification: Experiments and Aspen Plus simulation

Investigation of biomass (pine wood) gasification: Experiments and Aspen Plus simulation

Development of a Chemical Quasi-Equilibrium Model of Biomass Waste Gasification in a Fluidized-Bed Reactor by Using Aspen Plus

A review of thermochemical decomposition techniques for biochar production

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