Recent Modeling Approaches to Biomass Pyrolysis: A Review

Vikram, Shruti; Rosha, Pali; Kumar, Sandeep

doi:10.1021/acs.energyfuels.1c00251

Cited by 77 publications

(30 citation statements)

References 208 publications

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“…The model results show underprediction of CH4. Similar numerical trends of CH4 underprediction has been reported in literature also and the possible reason of high CH4 formation in a real working gasifier may be due to the partial thermal cracking of the pyrolysis products [5,8,11]. The remaining syngas volume fractions were reasonably predicted by the model.…”

Section: Model Validationsupporting

confidence: 86%

“…The computational analysis benefits from studying the result of different operating conditions and input parameters, escaping costly and time-consuming experimentations. In order to avoid gasification process intricacies and develop the simplest model that could incorporate the primary reactor operating conditions and principle gasification reactions, the Aspen Plus process simulator is an optimum simulation program [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the Operating Conditions for Tailored Syngas Generation from Biomass Gasification under Simulated Reactive Media

Vikram¹,

Kumar²

2023

World Congress on Momentum, Heat and Mass Transfer

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The present study is contributed to developing a numerical model using the Aspen Plus process simulator to investigate the influence of reactive media on biomass gasification systems. The energy performance of the biomass gasification system was examined at 900ºC. A parametric examination is conducted to study the influence of the critical parameters. The equilibrium modeling approach concluded that the theoretical carbon conversion rate was nearly constant at 75% in both cases: oxy-steam and steam-CO2 gasification. The theoretical cold gas efficiency is enhanced by increasing the input percentage of CO2 in steam, whereas it shows a declining trend with an increase in O2 content in steam. Nevertheless, oxy-steam gasification promotes hydrogen-rich syngas by assisting combustion reactions facilitating auto thermal gasification. This analysis is pivotal to studying the effect of reactive gas agents on syngas quality and its utilization purpose.

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Section: Model Validationsupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Optimization of the Operating Conditions for Tailored Syngas Generation from Biomass Gasification under Simulated Reactive Media

Vikram¹,

Kumar²

2023

World Congress on Momentum, Heat and Mass Transfer

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“…Among various types of biomass gasifiers, commonly used gasifiers for commercial applications are the fixed bed gasifier, fluidized bed gasifier (FBG), dual fluidized bed gasifier (DFBG), circulating fluidized bed gasifier (CFBG), and entrained flow gasifier (EFG). ,− …”

Section: Overview Of Biomass Gasificationmentioning

confidence: 99%

Mini Review of Catalytic Reactive Flash Volatilization of Biomass for Hydrogen-Rich Syngas Production

2022

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While the global energy demand is estimated to increase, the energy supply has to transition from fossil fuels to renewable energy to reduce CO 2 emissions to avoid the consequences of climate change. Hydrogen produced from renewable resources can play a vital role as a sustainable energy carrier. Among several routes of H 2 production, thermochemical conversion of biomass into hydrogen has been gaining much interest. Catalytic steam gasification via reactive flash volatilization (RFV) technology is a proven method for producing tar-free hydrogen-rich syngas from a range of biomass at relatively low temperatures (<900 °C) in a single-step millisecond residence time reactor. Here, we review the recent literature and evaluate the economic prospects of catalytic RFV gasification of different biomass. The performance of RFV has been compared to other types of gasification technologies based on the data available in the published literature. Parameters affecting RFV performance include the temperature, steam and oxygen supply, catalyst, and biomass type. A higher temperature and steam/carbon ratio was favorable for the hydrogen yield, whereas the optimal carbon/oxygen ratio was required to achieve a high quality and yield of syngas. Ni-based catalysts were found to be excellent for steam reforming of tar, C 2 compounds and methane; and water gas shift reactions, regardless of the biomass used. Techno-economic factors affecting the cost of hydrogen were process efficiency, cost of biomass, scale of the plant, carbon tax, capital cost, and location-specific factors, such as cost of labor and utility.

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“…They were only compared with other available TE model results, and claimed that these models have acceptable accuracy. Furthermore, in TE models, the science of pyrolysis chemistry, and model capability to simulate the exact conversion phenomena, are still unresolved issues [56].…”

Section: Aim Of the Workmentioning

confidence: 99%

Development and Comparison of Thermodynamic Equilibrium and Kinetic Approaches for Biomass Pyrolysis Modeling

2022

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Biomass pyrolysis is considered as a thermochemical conversion system that is performed under oxygen-depleted conditions. A large body of literature exists in which thermodynamic equilibrium (TE) and kinetic approaches have been applied to predict pyrolysis products. However, the reliability, accuracy and predictive power of both modeling approaches is an area of concern. To address these concerns, in this paper, two new simulation models based on the TE and kinetic approaches are developed using Aspen Plus, to analyze the performance of each approach. Subsequently, the results of two models are compared with modeling and experimental results available in the literature. The comparison shows that, on the one hand, the performance of the TE approach is not satisfactory and cannot be used as an effective way for pyrolysis modeling. On the other hand, the results generated by the new model based on the kinetic approach suggests that this approach is suitable for modeling biomass pyrolysis processes. Calculation of the root mean square error (RMS), to quantify the deviation of the model results from the experiment results, confirms that this kinetic model presents superior agreement with experimental data in comparison with other kinetic models in the literature. The acquired RMS for the developed kinetic method in this paper varies within the span of 1.2 to 3.2 depending on temperature (400–600 °C) and various feedstocks (pine spruce sawdust, bagasse, wood bark, beech wood and paddy straw).

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Recent Modeling Approaches to Biomass Pyrolysis: A Review

Cited by 77 publications

References 208 publications

Optimization of the Operating Conditions for Tailored Syngas Generation from Biomass Gasification under Simulated Reactive Media

Optimization of the Operating Conditions for Tailored Syngas Generation from Biomass Gasification under Simulated Reactive Media

Mini Review of Catalytic Reactive Flash Volatilization of Biomass for Hydrogen-Rich Syngas Production

Development and Comparison of Thermodynamic Equilibrium and Kinetic Approaches for Biomass Pyrolysis Modeling

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