Critical Analysis of Underground Coal Gasification Models. Part II: Kinetic and Computational Fluid Dynamics Models

Żogała, Alina

doi:10.7424/jsm140106

Cited by 15 publications

(10 citation statements)

References 11 publications

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“…The kinetic models use the kinetic reaction models, such as Arrhenius type equations, to predict mass conversion rates. The kinetic models of UCG are generally time-dependent and they are able to determine the gas properties in each phase of the process (Jowkar et al, 2018, Samdani et al, 2016, Żogała, 2014b. Integration of kinetic models with momentum, heat, and mass transport equations creates computational fluid dynamic (CFD) models which can calculate the spatial and temporal distribution of each component and the coal conversion at the same time (Perkins and Sahajwalla, 2007, Perkins and Sahajwalla, 2008, Sarraf Shirazi et al, 2013, Żogała and Janoszek, 2015.…”

Section: Homogeneous Reactions: Oxidation Reactionsmentioning

confidence: 99%

Türk Li̇nyi̇tleri̇ni̇n Yeraltinda Kömür Gazlaştirma Performanslarinin Stoki̇ometri̇k Denge Modeli̇ İle Beli̇rlenmesi̇

Canbaz

Gür

2020

Isı Bilimi Ve Tekniği Dergisi

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Underground coal gasification (UCG) is a coal conversion process that enables the utilization of coal reserves in-situ, and it is an alternative technique to conventional mining methods. Previous experimental studies showed that UCG is a suitable method for the usage of low-rank coal or lignite reserves, which have the major part in the Turkish coal reserves. In this study, a thermochemical equilibrium model of UCG process is developed to predict syngas composition and to compare UCG-performance of the selected lignite reserves in Turkey. The lignite sites are chosen according to the described UCG site selection criteria. The equilibrium model consists of gasification reactions and water-gas shift reaction and it considers the effect of the drying process. The model is validated using the results of the lab-scale experimental UCG study. The predictions are made for both oxygen and steam-gasification processes. Results show that the lignite reserves which have high moisture content but low carbon content are suitable for hydrogen-rich syngas production and hydrogen production capabilities of all reserves can be enhanced significantly by the additional steam supply as the gasification agent.

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Section: Homogeneous Reactions: Oxidation Reactionsmentioning

confidence: 99%

Türk Li̇nyi̇tleri̇ni̇n Yeraltinda Kömür Gazlaştirma Performanslarinin Stoki̇ometri̇k Denge Modeli̇ İle Beli̇rlenmesi̇

Canbaz

Gür

2020

Isı Bilimi Ve Tekniği Dergisi

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“…Furthermore, research findings have highlighted the operational similarity between UCG and surface fixed-bed gasifiers with regard to synthesis gas composition [34][35][36]. Numerous previous studies focussing on UCG operation and optimization have used the equilibrium modeling approach [26,[37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Synthesis Gas Composition Prediction for Underground Coal Gasification Using a Thermochemical Equilibrium Modeling Approach

Otto

Kempka

2020

Energies

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Underground coal gasification (UCG) is an in situ conversion technique that enables the production of high-calorific synthesis gas from resources that are economically not minable by conventional methods. A broad range of end-use options is available for the synthesis gas, including fuels and chemical feedstock production. Furthermore, UCG also offers a high potential for integration with Carbon Capture and Storage (CCS) to mitigate greenhouse gas emissions. In the present study, a stoichiometric equilibrium model, based on minimization of the Gibbs function has been used to estimate the equilibrium composition of the synthesis gas. Thereto, we further developed and applied a proven thermodynamic equilibrium model to simulate the relevant thermochemical coal conversion processes (pyrolysis and gasification). Our modeling approach has been validated against thermodynamic models, laboratory gasification experiments and UCG field trial data reported in the literature. The synthesis gas compositions have been found to be in good agreement under a wide range of different operating conditions. Consequently, the presented modeling approach enables an efficient quantification of synthesis gas quality resulting from UCG, considering varying coal and oxidizer compositions at deposit-specific pressures and temperatures.

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“…It needs the input of several parameters into the calculation, requiring users to have a high level of professional knowledge. The equilibrium model has a limited application range in the study of char gasification, especially in the case of a rapid heating rate and a short residence time 16 . Therefore, it is extremely important to thoroughly study kinetic models that consist of simple and rapid calculations and that do not require professional computing software.…”

Section: Introductionmentioning

confidence: 99%

“…At present, the models for predicting char gasification can be divided into three categories: computational fluid dynamic (CFD) models, [15][16][17] equilibrium models [18][19][20] and kinetic models. 13,21,22 The CFD model is more complex than the others and requires considerable calculation time.…”

Section: Introductionmentioning

confidence: 99%

Study on CO ₂ gasification kinetics of biomass char based on pore structure analysis: Theoretical modelling of structural parameter ψ in random pore model

Song

Wang

et al. 2020

Int J Energy Res

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Summary In this work, the structural function of char gasification is modelled theoretically. Considering that different components will have different pore characteristics after pyrolysis, char is divided into different micro‐structures according to its corresponding components, and then a structural equation is constructed to realize the theoretical calculation of the structural parameter. Through comparison, it is found that the proposed model has high accuracy and shows applicability for different demineralized biomass samples. An analysis of the influence of sample characteristics on the structural parameter shows that, with an increase in char particle size and initial porosity, the structural parameter shows a decreasing trend, while, with an increase in fuel ratio, the structural parameter first increases and then decreases. The model can directly predict char gasification through the characteristic parameters of the sample, including proximate analysis, ultimate analysis, initial porosity of the sample and char particle size, thus replacing previous predictions of char gasification by testing the characteristic parameters of the char pores.

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Critical Analysis of Underground Coal Gasification Models. Part II: Kinetic and Computational Fluid Dynamics Models

Cited by 15 publications

References 11 publications

Türk Li̇nyi̇tleri̇ni̇n Yeraltinda Kömür Gazlaştirma Performanslarinin Stoki̇ometri̇k Denge Modeli̇ İle Beli̇rlenmesi̇

Türk Li̇nyi̇tleri̇ni̇n Yeraltinda Kömür Gazlaştirma Performanslarinin Stoki̇ometri̇k Denge Modeli̇ İle Beli̇rlenmesi̇

Synthesis Gas Composition Prediction for Underground Coal Gasification Using a Thermochemical Equilibrium Modeling Approach

Study on CO ₂ gasification kinetics of biomass char based on pore structure analysis: Theoretical modelling of structural parameter ψ in random pore model

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Critical Analysis of Underground Coal Gasification Models. Part II: Kinetic and Computational Fluid Dynamics Models

Cited by 15 publications

References 11 publications

Türk Li̇nyi̇tleri̇ni̇n Yeraltinda Kömür Gazlaştirma Performanslarinin Stoki̇ometri̇k Denge Modeli̇ İle Beli̇rlenmesi̇

Türk Li̇nyi̇tleri̇ni̇n Yeraltinda Kömür Gazlaştirma Performanslarinin Stoki̇ometri̇k Denge Modeli̇ İle Beli̇rlenmesi̇

Synthesis Gas Composition Prediction for Underground Coal Gasification Using a Thermochemical Equilibrium Modeling Approach

Study on CO 2 gasification kinetics of biomass char based on pore structure analysis: Theoretical modelling of structural parameter ψ in random pore model

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Study on CO ₂ gasification kinetics of biomass char based on pore structure analysis: Theoretical modelling of structural parameter ψ in random pore model