Batch Reactor Modeling and Simulation by MATLAB for Clean Coal Technologies: A First Order Kinetic Modelling Approaches
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
International Pittsburgh Coal Conference
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This 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.
Açıklama
Anadolu 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.
40th Annual International Pittsburgh Coal Conference, PCC 2023 -- 4 October 2023 through 6 October 2023 -- 200012
40th Annual International Pittsburgh Coal Conference, PCC 2023 -- 4 October 2023 through 6 October 2023 -- 200012
Anahtar Kelimeler
Batch reactor, Biomass, Co-liquefaction, Coal, Kinetic, Matlab, Modelling
Kaynak
40th Annual International Pittsburgh Coal Conference, PCC 2023
WoS Q Değeri
Scopus Q Değeri
N/A
