Modification and extension of the anaerobic model N°2 (AM2) for the simulation of anaerobic digestion of municipal solid waste

Amine Hajji, Younes Louartassi, Mohammed Garoum, Najma Laaroussi, Mohammed Rhachi
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Abstract

Anaerobic digestion is a complex process whose understanding, optimization, and development require mathematical modeling to simulate digesters' operation under various conditions. Consequently, the present work focuses on developing a new and improved model called "AM2P" derived from the AM2 model. This new model incorporates surface-based kinetics (SBK) into the overall simulation process to transform the system into three stages: hydrolysis, acidogenesis, and methanogenesis. Experimental data from our previous work were used to identify the AM2 and AM2P models' parameters. Simulations showed that the AM2P model satisfactorily represented the effect of the hydrolysis phase on the anaerobic digestion process, since simulated values for acidogenic (X1) and methanogenic (X2) biomass production revealed an increase in their concentration as a function of particle size reduction, with a maximum concentration of the order of 5.5 g/l for X1 and 0.8 g/l for X2 recorded for the case of the smallest particle size of 0.5 cm, thus accurately representing the effect of substrate particle disintegration on biomass production dynamics and enabling the process of anaerobic digestion to be qualitatively reproduced. The AM2P model also provided a more accurate response, with less deviation from the experimental data; this was the case for the evolution of methane production, where the coefficient of determination (R2) was higher than 0.8, and the root-mean-square error (RMSE) was less than 0.02.
模拟城市生活垃圾厌氧消化的厌氧模型N°2 (AM2)的改进和扩展
厌氧消化是一个复杂的过程,它的理解、优化和发展需要数学建模来模拟消化器在各种条件下的运行。因此,目前的工作重点是开发一个新的和改进的模型,称为“AM2P”,源自AM2模型。这个新模型将基于表面的动力学(SBK)整合到整个模拟过程中,将系统转化为三个阶段:水解、产酸和产甲烷。利用我们之前工作的实验数据来确定AM2和AM2P模型的参数。模拟结果表明,AM2P模型很好地反映了水解阶段对厌氧消化过程的影响,因为产酸(X1)和产甲烷(X2)生物质生产的模拟值显示,它们的浓度随粒径的减小而增加,在最小粒径为0.5 cm的情况下,X1的最大浓度为5.5 g/l, X2的最大浓度为0.8 g/l。因此,准确地代表了底物颗粒分解对生物质生产动态的影响,并使厌氧消化过程能够定性地再现。AM2P模型也提供了更准确的响应,与实验数据的偏差较小;甲烷产量演化的决定系数(R2)大于0.8,均方根误差(RMSE)小于0.02。
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