Review of Mathematical Models for the Anaerobic Digestion Process

B. Velázquez‐Martí, O. Meneses-Quelal, J. Gaibor‐Chávez, Z. Niño-Ruiz
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引用次数: 23

Abstract

To describe anaerobic fermentation, many mathematical models have been suggested. A commonly accepted hypothesis in microbial growth is the speed of cellular reproduction, which is proportional to the concentration of cells at that instant. The constant of proportionality between the speed of growth and cell concentration is called cell growth rate, μ . In many occasions, the cell growth rate is considered constant. This leads to conclude that the concentration of cells versus time presents an exponential function. The consideration of this equation provides a good adjustment in the beginning of central phase of the anaerobic fermentation process. However, it moves away from the measurements when there is a limited reproduction due to lack of nutrients and competition between the cells in the environment. This produces a sigmoidal variation in concentration. To find a suitable fit function for all phases of the process, Gompertz proposes a model that considers the cell growth rate as variable. In this chapter, the Gompertz model, kinetic models, transference, and cone models are evaluated. Different adaptations to fit the variables to the obtained values in the experiments have been reviewed.
厌氧消化过程数学模型综述
为了描述厌氧发酵,人们提出了许多数学模型。微生物生长的一个普遍接受的假设是细胞繁殖的速度,它与当时细胞的浓度成正比。生长速度与细胞浓度之间的比例常数称为细胞生长速率,μ。在许多情况下,细胞生长速率被认为是恒定的。由此得出细胞浓度随时间呈指数函数的结论。该方程的考虑在厌氧发酵过程的中心阶段开始时提供了一个很好的调整。然而,当由于缺乏营养和环境中细胞之间的竞争而繁殖有限时,它就会远离测量。这就产生了浓度的s型变化。为了找到一个适合这个过程的所有阶段的拟合函数,Gompertz提出了一个考虑细胞生长速率为变量的模型。在本章中,Gompertz模型、动力学模型、迁移模型和锥模型进行了评估。不同的适应适应的变量,以获得的值在实验中进行了审查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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