Prediction and optimization of syngas production from a kinetic-based biomass gasification process model

Dang, Qi; Zhang, Xiaoqi; Zhou, Yanmin; Jia, Xiaotong

doi:10.1016/j.fuproc.2020.106604

Cited by 58 publications

(23 citation statements)

References 48 publications

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“…The biomass gasification unit has been modeled by using equilibrium models, according to the approach already adopted by other authors [33][34][35][36]. Kinetic models have also been proposed in the open literature [37], leading to a more precise estimation of gasifier outlet composition and to the identification of additional compounds (e. g., tars and hydrocarbons) within the syngas. Nevertheless, this work's main goal consists of process integration and an equilibrium approach has been thus chosen to simplify the gasification modelling.…”

Section: Gasification Unitmentioning

confidence: 99%

Integration between Biomass Gasification and High-Temperature Electrolysis for Synthetic Methane Production

Vitale

Giglio²,

Lanzini

et al. 2020

SSRN Journal

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The energy system analysis of an integrated process producing synthetic natural gas (SNG) from woody biomass has been carried out. Two different process configurations have been proposed and modeled, considering the integration between biomass gasification, solid oxide electrolysis (SOEC) and catalytic reactors for methane synthesis. The two investigated process configurations differ in the size of the SOEC unit. In the first configuration, the electrolysis unit is sized to increase H 2 content in the produced syngas to satisfy the methanation reaction stoichiometric requirement. In the second configuration, electrolysis provides to the gasifier the requested amount of oxygen. For this second configuration, an additional section composed of a water gas shift (WGS) reactor and a carbon capture and sequestration (CCS) unit is required to adjust the reacting gas composition and thus to ensure the proper stoichiometry for the methanation process. The two different configurations have been compared at the same gasification condition. The gasifier has been modeled and studied to choose the gasification parameters' appropriate values, as equivalence ratio and steam-to-biomass ratio, and their impact on gasification outlet temperature and syngas composition. The whole process has been analyzed from a thermodynamic standpoint. After a thermal integration between the streams of the plant, energy efficiency has been calculated for both configurations: the first one (SOEC sized on hydrogen requirement) presented an efficiency of 71.7 %, while the second one (SOEC sized on oxygen requirement) showed an efficiency of 66.8 %.

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Section: Gasification Unitmentioning

confidence: 99%

Integration between Biomass Gasification and High-Temperature Electrolysis for Synthetic Methane Production

Vitale

Giglio²,

Lanzini

et al. 2020

SSRN Journal

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“…In this approach, the composition of the product syngas and the temperature profiles along the length of the reduction zone were determined from the energy and mass balances written for each control volume, while taking into account the rate of formation/consumption of the species of interest according to different gasification kinetics. Moreover, Dang et al [21] have shown that a dependable approach for predicting and optimizing the syngas output is to devise a surrogate model by combining data analysis techniques with a kinetic-based process model. Besides, Smith et al [7] presented a kinetic model for downdraft biomass gasifiers by employing AspenTech aspenONE.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, Dang et al. 21 have shown that a dependable approach for predicting and optimizing the syngas output is to devise a surrogate model by combining data analysis techniques with a kinetic‐based process model. Besides, Smith et al.…”

Section: Introductionmentioning

confidence: 99%

Kinetic Modeling of Biomass Gasification in the Reduction Zone Using Various Gasification Agents

2022

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The depletion of fossil fuels and global warming have incentivized research into alternative and ecologically benign fuels. Among the most promising options being investigated is the production of hydrogen from biomass. This work investigated the kinetic modeling of the reduction zone for hydrogen production from a wide range of biomass types and conducted a theoretical comparison between various gasification agents (air, steam, and air/steam). The proposed model helps to ascertain the best biomass and agent for attaining the highest hydrogen yield and the lowest environmental contamination in terms of detrimental CO 2 emissions. The results show that steam gasification of plastic provides the highest hydrogen yield and that rubber could be considered the most environmentally friendly biomass.

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“…In addition, kinetic modeling possesses the capacity of predicting the composition of product gas under varying conditions, which is important for designing, evaluating, and improving the performance of gasifiers. Kinetic modeling is specially used if the goal is to optimize and understand the effect of parameters such as feed density, particle size distributions, and reactivity on the outlet gas composition, system performance, and carbon conversion (Dang et al, 2021;Zheng & Vance Morey, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…However, in mass and energy transfer modeling, the mass and energy transfer by diffusion between two phases was neglected. Dang et al (Dang et al, 2021) developed a biomass gasification model in Aspen Plus to predict and optimize syngas production. In this model, the reaction kinetics and hydrodynamic conditions were incorporated into the model by Fortran subroutine.…”

Section: Introductionmentioning

confidence: 99%

Kinetic Modeling and Optimization of Biomass Gasification in Bubbling Fluidized Bed Gasifier Using Response Surface Method

Tulu

Atnaw

Bededa

et al. 2022

Int. J. Renew. Energy Dev.

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This paper presents the kinetic modeling of biomass gasification in bubbling fluidized bed (BFB) gasifiers and optimization methods to maximize gasification products. The kinetic model was developed based on two-phase fluidization theory. In this work, reaction kinetics, hydrodynamic conditions, convective and diffusion effect, and the thermal cracking of tar kinetics were considered in the model. The model was coded in MATLAB and simulated. The result depicted good agreement with experimental work in literature. The sensitivity analysis was carried out and the effect of temperature ranging from 650 to 850 and steam to biomass ratio (S/B) ranging from 0.1 to 2 was investigated. The result showed that an increase in temperature promoted H2 production from 18.73 % to 36.87 %, reduced that of CO from 39.97 % to 34.2 %, and CH4 from 18.01 % to 11.65 %. Furthermore, surface response was constructed from the regression model and the mutual effect of temperature and S/B on gasification products and heating value was investigated. In addition, the desirability function was employed to optimize gasification product and heating value. The maximum gasification product yield was obtained at 827.9 and 0.1 S/B. The response predicted by desirability function at these optimum operational conditions was 30.1 %, 44.1 %, 13.2 %, 12.9 %, 14.035 MJ/Nm3, and 14.5 MJ/Nm3 for H2, CO, CO2, CH4, LHV, and HHV, respectively. Kinetic modeling of the biomass gasification in BFB process is still under development, which considers the diffusion effect, tar cracking, reaction kinetics, and hydrodynamic behavior. Moreover, the large number of previous studies gave priority to a single parameter investigation. However, this investigation can be extended to various parameters analysis simultaneously, which would give solid information on system performance analysis.

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Prediction and optimization of syngas production from a kinetic-based biomass gasification process model

Cited by 58 publications

References 48 publications

Integration between Biomass Gasification and High-Temperature Electrolysis for Synthetic Methane Production

Integration between Biomass Gasification and High-Temperature Electrolysis for Synthetic Methane Production

Kinetic Modeling of Biomass Gasification in the Reduction Zone Using Various Gasification Agents

Kinetic Modeling and Optimization of Biomass Gasification in Bubbling Fluidized Bed Gasifier Using Response Surface Method

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