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Application of monod two-substrate kinetics with an intermediate for anaerobic co-digestion of distillery wastewater and molasses/glycerol waste in batch experiments

机译:Monod双基板动力学在蒸馏废水中的厌氧共消化中间体应用中间体的应用分批实验中的糖尿杆菌/甘油废弃物

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摘要

Anaerobic digestion is a highly complex process, particularly in co-digestion between poorly-defined, complex co-substrates like distillery wastewater, molasses, and crude glycerine. Thus, in this article, the authors tackled the problems by using Monod two-substrate with an intermediate (M2SI) model to represent accumulated biomethane evolution (ABE) obtained from the co-substrates, including easily degradable, slowly degradable substrates and intermediate. The M2SI model predictions were compared with the traditional Monod model's simulation results to clarify an outstanding of the present model in the aspect of modeling and control. Different behaviors of ABE curves from batch experiments were used to calibrate the M2SI model prediction with sensitivity analysis of the model parameters. It was found that the M2SI model gives a correct trend to describe the co-digestion process with multiple substrates and complex microbial activities with satisfactory fitting accuracy. At the same time, simple Monod kinetics have a good fit for dilute pure distillery wastewater, but the estimated microbial growth kinetics were counterintuitive. Therefore, the M2SI Model has a broader range of applications for co-digestion dealing with the complexity of multiple microbial activities to consume inherently complex or artificial co-substrates.
机译:厌氧消化是一种高度复杂的方法,特别是在酿酒厂废水,熔岩和粗甘油等酿酒厂等含量较差的复合的共衬底之间的共消化中。因此,在本文中,作者通过使用中间体(M2SI)模型使用Monod双基板来解决问题,以表示从共衬底获得的累积的生物甲烷evolution(ABE),包括易于降解的,缓慢可降解的基材和中间体。将M2SI模型预测与传统的Monod模型的仿真结果进行了比较,以在建模和控制方面阐明本模型的优秀。使用批量实验的ABE曲线的不同行为用于校准模型参数的灵敏度分析的M2SI模型预测。结果发现,M2SI模型提供了正确的趋势,以描述具有多种基板的共消化过程和具有令人满意的拟合精度的复杂微生物活动。与此同时,简单的Monod动力学对稀释纯蒸馏废水有很好的贴合性,但估计的微生物生长动力学是违反直觉的。因此,M2SI模型具有更广泛的应用程序,用于处理多种微生物活性的复杂性以消耗固有的复杂或人工共衬底的复杂性。

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