Critical Analysis of Underground Coal Gasification Models. Part I: Equilibrium Models – Literary Studies

Żogała, Alina

doi:10.7424/jsm140105

Cited by 14 publications

(3 citation statements)

References 4 publications

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“…Therefore models derived are constrained by scope, assumptions, predictive capabilities, and physics; whilst simplifications include dimension and time response, heat transfer and fluid dynamics couplings, and predictive range, such as cavity evolution and environmental interaction. Based on these criteria, the UCG models can be categorized into the following groups: packed bed models [14][15][16][17], channel models [18][19][20], coal block models [21][22][23], resource recovery models [24,25], and CFD [26].…”

Section: Literature Reviewmentioning

confidence: 99%

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

Ahmed

Javed²,

Uppal

et al. 2023

Mathematics

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The Cavity Simulation Model (CAVSIM) is a 3D, parameterisable simulator of the Underground Coal Gasification Process (UCG) that serves as a benchmark for UCG prediction. Despite yielding accurate outputs, CAVSIM has some limitations, which chiefly include inadequate graphical capabilities to visualise cavity geometry and gas production, time-ineffectiveness in terms of parametrisation, i.e., it involves editing, compiling multiple files and checking for errors, and lack of tools to synthesise a controller. Therefore, to compensate for these shortcomings, the services of third-party software, such as MATLAB, must be procured. CAVSIM was integrated with MATLAB to utilise its functionalities and toolboxes such as System Identification, Neural Network, and Optimization Toolbox etc. The integration was accomplished by designing C-mex files, and furthermore, the simulation results in both environments exhibit the same behaviour, demonstrating successful integration. Consequently, CAVSIM has also acquired a controllable structure, wherein parametrisation is now a single-click process; this is demonstrated by a case study outlining the implementation of Model Predictive Control (MPC) on a UCG plant. Moreover, the performance metrics, i.e., Mean Average Error (MAE) and Root Mean Square Error (RMSE) of 0.13, 0.23 for syngas heating value, and 0.012, 0.02 for flowrate quantitatively establishes the efficacy of CAVLAB in designing MPC for the UCG system. The novelty of this work lies in making the software package open-source with the aim of streamlining the research of multiple aspects of the UCG process.

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Section: Literature Reviewmentioning

confidence: 99%

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

Ahmed

Javed²,

Uppal

et al. 2023

Mathematics

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“…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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“…In the Central Mining Institute in Poland, UCG studies are carried out on a laboratory and pilot scale targeted to obtain gas with a high hydrogen content (Kapusta and Stańczyk 2011;Smolinski et al 2012;Smolinski et al 2013). Detailed description and an overview of the underground coal methods and application possibilities of this technology are shown in the papers (Yang et al 2008;Liu et al 2009;Olateju and Kumar 2013;Żogała 2014;Janoszek et al 2013). The composition of the gas from UCG differs depending on the type of gasified coal, gasifying agent used, the existing pressure and temperature.…”

Section: Introductionmentioning

confidence: 99%

Life cycle assessment of heat production from underground coal gasification

Burchart-Korol

Korol

Czaplicka-Kolarz

2016

Int J Life Cycle Assess

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Purpose In Poland, coal is the main fuel used for heat production. Innovative clean coal technologies, which include underground coal gasification (UCG), are widely developed. This paper presents the analysis results of life cycle assessment (LCA) and material flow analysis (MFA) of using synthesis gas from UCG for heat production. The paper presents the results of a comparative analysis of MFA and LCA for four variants of heat production, which differed in the choice of gasifying agent and heat production installations. Methods Environmental analysis was made based on LCA with ReCiPe Midpoint and ReCiPe Endpoint H/A method, which allowed to analyse of different categories of the environmental impact. LCA was performed based on the ISO 14040 standard using SimaPro 8.0 software with Ecoinvent 3.1 database (Ecoinvent 2014). Umberto NXT Universal software was used to develop MFA for heat production. LCA analyses included hard coal from a Polish mine and synthesis gas obtained in the experimental installations in the Central Mining Institute in Poland. Results and discussion MFA performed for technology of utilizing gases from UCG have made it possible to visualize materials and energy flow between different unit processes in the whole technological chain. Moreover, the analyses enabled identification of unit processes with the largest consumption of raw materials, energy and the biggest emissions into the environment. It has been shown that the lowest environmental burden is attributed to the technology, which uses high-pressure chamber with gas turbine in which the synthesis gas from UCG is burned and oxygen was a gasifying agent. Analysis of LCA results showed that the major environmental burden includes greenhouse gas (GHG) emission and the fossil fuels depletion. GHG emission results primarily from the direct emission of CO 2 from gas combustion for heat production and electricity consumption used in gasifying agents preparation phase. Conclusions In order to increase the environmental efficiency of heat production technology using UCG, the most important activity to be considered is limitation of dust-gas emissions, including primarily CO 2 removal process and efficiency increase of the installation, which is reflected in the reduction of coal consumption. It is important to highlight that this is the first attempt of MFA and LCA of heat production from UCG gas. Since no LCA has ever been conducted on the heat production from underground coal gasification, this study is the first work about LCA of the heat production from UCG technology. This is the first approach which contains a whole chain of unconventional heat production including preparation stages of gasifying agents, underground coal gasification, gas purification and heat production.

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Critical Analysis of Underground Coal Gasification Models. Part I: Equilibrium Models – Literary Studies

Cited by 14 publications

References 4 publications

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

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

Life cycle assessment of heat production from underground coal gasification

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Critical Analysis of Underground Coal Gasification Models. Part I: Equilibrium Models – Literary Studies

Cited by 14 publications

References 4 publications

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

Development of CAVLAB—A Control-Oriented MATLAB Based Simulator for an Underground Coal Gasification Process

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

Life cycle assessment of heat production from underground coal gasification

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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