Multiscale modeling of a membrane bioreactor for the treatment of oil and grease rendering wastewaters

J. Sánchez-Vargas, UAM-Iztapalapa, F. Valdés-Parada
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引用次数: 3

Abstract

Membrane bioreactors represent an attractive alternative for food industries wastewater treatment. This type of reactors comprise an aerobic tank (where the biochemical reactions take place) and a membrane tank (where the final filtration process occurs). Mathematical modeling of these systems is a practical tool for the design, control and optimization of wastewater treatment plants. Among the modeling approaches, there is no mathematical model that is specifically designed for membrane bioreactors, and that captures the hierarchical nature of these systems. In the present work, new mathematical models for mass and momentum transport are derived from the fundamental equations at the continuum level. With the use of the volume averaging method, effective medium models for both the aerobic and membrane tanks were developed. This modeling approach has the advantage that the coefficients involved in the model can be predicted from closure schemes, without representing a demanding computational effort. This deterministic model allows predicting the most favorable design and operating conditions. Additionally, numerical simulations of these models give rise to a better understanding of the involved mass transport mechanisms in the membrane tank, this is achieved through the prediction of the fluid velocity, and the dynamics of the total mass flux and the concentration at each point in the tank. The models derived here are valuable because they allow analyzing the effect of each (operational and/or design) parameter over the dynamics of long-chain fatty acids and oxygen concentrations.
膜生物反应器处理油脂废水的多尺度建模
膜生物反应器是食品工业废水处理的一种有吸引力的替代方案。这类反应器包括一个好氧池(生化反应发生的地方)和一个膜池(最终过滤过程发生的地方)。这些系统的数学建模是污水处理厂设计、控制和优化的实用工具。在建模方法中,没有专门为膜生物反应器设计的数学模型,并且没有捕获这些系统的分层性质。在本工作中,从连续统水平的基本方程推导出质量和动量输运的新数学模型。采用体积平均法建立了好氧池和膜池的有效介质模型。这种建模方法的优点是,模型中涉及的系数可以从闭包方案中预测,而不需要表示苛刻的计算工作量。这种确定性模型允许预测最有利的设计和操作条件。此外,这些模型的数值模拟可以更好地理解膜槽中所涉及的质量传递机制,这是通过预测流体速度、总质量通量和槽中每个点的浓度的动力学来实现的。这里导出的模型是有价值的,因为它们允许分析每个(操作和/或设计)参数对长链脂肪酸和氧浓度动态的影响。
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