Batch Reactor Modeling and Simulation by MATLAB for Clean Coal Technologies: A First Order Kinetic Modelling Approaches

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dc.authorscopusid35317957200
dc.authorscopusid56213876500
dc.contributor.authorKoyunoğlu C.
dc.contributor.authorKaraca H.
dc.date.accessioned2024-08-04T20:04:06Z
dc.date.available2024-08-04T20:04:06Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.descriptionAnadolu Birlik Holding Inc. Co.;CENAL Electricity Production Inc.;et al.;Hidro-Gen Energy Imp. Exp. Dist. and Trade Inc.;Turkish Coal Enterprises;Uysal Mining Inc. Co.en_US
dc.description40th Annual International Pittsburgh Coal Conference, PCC 2023 -- 4 October 2023 through 6 October 2023 -- 200012en_US
dc.description.abstractThis study presents a numerical calculation method to investigate the co-liquefaction of coal and biomass in a batch reactor. The primary objective is to determine the concentrations of different components under varying types of coal and biomass, facilitating the selection of optimal batching options based on reactor capacity. The kinetic model is developed by amalgamating literature data, preliminary experiments, and fundamental principles of reaction kinetics. The co-liquefaction process is represented as a series of first-order reactions involving two reactants: coal and biomass. The core of the model consists of coupled differential equations that describe the rate of change of coal and biomass concentrations over time. The rate of change is directly proportional to the concentration of each reactant, scaled by a reaction rate constant `k`. To address these non-linear differential equations, the MATLAB `ode45` function, employing the Runge-Kutta method suitable for non-linear systems, is utilized. The reaction rate constant `k` is estimated through experimental data, where the experimental concentration-time profiles are fitted to the model's predictions. Model validation is accomplished by comparing its predictions against experimental conditions not used in parameter estimation. Statistical metrics such as the correlation coefficient and root mean square error (RMSE) are used to assess the goodness of fit. Additionally, a sensitivity analysis is conducted to examine the impact of various parameters on the model's predictions. This involves varying the initial concentrations of coal and biomass, the reaction rate constant `k`, and other pertinent parameters relevant to the co-liquefaction process. To enhance accessibility, a MATLAB-based Graphical User Interface (GUI) is developed, enabling researchers and industry professionals to input experimental conditions, conduct simulations, and visualize real-time results. It should be noted that the values of reaction rate constants, `k1`, `k2`, `k3`, `k4`, `k5`, and `k6`, are assumed for illustrative purposes and should be adjusted based on experimental data for specific reactions. The simulations offer insights into the concentration profiles of the reactants and products over time. Overall, this study significantly contributes to the understanding of the co-liquefaction process of coal and biomass, paving the way for the design of an efficient plant infrastructure based on the components that yield the highest total conversion due to the first-order reaction kinetics. © 2023 40th Annual International Pittsburgh Coal Conference, PCC 2023. All rights reserved.en_US
dc.description.sponsorshipInönü Üniversitesien_US
dc.description.sponsorshipThis study was supported within the scope of the project numbered FOA-2020-1929, the scientific research projects coordination unit of the Republic of T\u00FCrkiye, Inonu University.en_US
dc.identifier.isbn1890977381
dc.identifier.isbn9781890977382
dc.identifier.scopus2-s2.0-85195815802en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/92355
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInternational Pittsburgh Coal Conferenceen_US
dc.relation.ispartof40th Annual International Pittsburgh Coal Conference, PCC 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBatch reactoren_US
dc.subjectBiomassen_US
dc.subjectCo-liquefactionen_US
dc.subjectCoalen_US
dc.subjectKineticen_US
dc.subjectMatlaben_US
dc.subjectModellingen_US
dc.titleBatch Reactor Modeling and Simulation by MATLAB for Clean Coal Technologies: A First Order Kinetic Modelling Approachesen_US
dc.typeConference Objecten_US

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