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Modeling and simulation of an optimal unified tank model for aeration-sedimentation processes in wastewater treatment plants
Journal of Water Process Engineering ( IF 7 ) Pub Date : 2020-07-08 , DOI: 10.1016/j.jwpe.2020.101487
Bayram Arda Kuş , Tolgay Kara

The operation of Wastewater Treatment Plants (WWTPs) depend not only on the influent characteristics and air blown into the tank, but also the design of the tank structure. In this paper, the mathematical model of the aeration tank is derived by the dynamic equations of physical and biological processes. It is aimed to obtain an effective alternative model for secondary treatment. In the conventional approach, two separate tanks are used for aeration and sedimentation processes. A Unified Tank Model (UTM) for both phases is proposed and investigated in this research. To reach the desired optimized solution, a recently introduced metaheuristic method based on whale feeding behavior, named as Whale Optimization Algorithm (WOA) is used. The dynamic model of real system behavior in the proposed conditions is observed by computer simulation. The results are examined and discussed in the cases of the conventional approach and proposed alternative model. The optimization problems based on aeration system and dissolved oxygen (DO) concentration are defined to find optimal location of the diffusers in tank which is solved using whale optimization method. The optimal design shows better DO performance compared to the conventional approach. The aeration duration and accuracy of DO variation in the proposed UTM design with WOA optimization are shown to be significantly improved. The results of optimal WOA solution in UTM design present a useful alternative with good accuracy in following the desired DO value.



中文翻译:

废水处理厂曝气沉淀过程的最佳统一槽模型的建模与仿真

废水处理厂(WWTP)的运行不仅取决于进水特性和吹入储罐的空气,还取决于储罐结构的设计。本文通过物理和生物过程的动力学方程推导了曝气池的数学模型。目的是获得有效的替代模型进行二级治疗。在传统方法中,两个单独的水箱用于曝气和沉淀过程。提出并研究了两个阶段的统一储罐模型(UTM)。为了获得所需的优化解决方案,最近使用了一种基于鲸鱼进食行为的元启发式方法,称为鲸鱼优化算法(WOA)。通过计算机仿真观察了所提出条件下实际系统行为的动态模型。在常规方法和建议的替代模型的情况下,对结果进行了检查和讨论。定义了基于曝气系统和溶解氧(DO)浓度的优化问题,以找到扩散器在罐中的最佳位置,这是通过鲸鱼优化方法解决的。与传统方法相比,最佳设计显示出更好的DO性能。结果表明,采用WOA优化技术的UTM设计中的曝气持续时间和DO变化的准确性得到了显着改善。UTM设计中最佳WOA解决方案的结果提供了一种有用的替代方法,它可以很好地跟踪所需的DO值。定义了基于曝气系统和溶解氧(DO)浓度的优化问题,以找到扩散器在罐中的最佳位置,这是通过鲸鱼优化方法解决的。与传统方法相比,最佳设计显示出更好的DO性能。所显示的采用WOA优化的UTM设计中的曝气持续时间和DO变化的准确性已得到显着改善。UTM设计中最佳WOA解决方案的结果提供了一种有用的替代方法,可以很好地跟踪所需的DO值。定义了基于曝气系统和溶解氧(DO)浓度的优化问题,以找到扩散器在罐中的最佳位置,这是通过鲸鱼优化方法解决的。与传统方法相比,最佳设计显示出更好的DO性能。所显示的采用WOA优化的UTM设计中的曝气持续时间和DO变化的准确性已得到显着改善。UTM设计中最佳WOA解决方案的结果提供了一种有用的替代方法,可以很好地跟踪所需的DO值。所显示的采用WOA优化的UTM设计中的曝气持续时间和DO变化的准确性已得到显着改善。UTM设计中最佳WOA解决方案的结果提供了一种有用的替代方法,可以很好地跟踪所需的DO值。所显示的采用WOA优化的UTM设计中的曝气持续时间和DO变化的准确性已得到显着改善。UTM设计中最佳WOA解决方案的结果提供了一种有用的替代方法,它可以很好地跟踪所需的DO值。

更新日期:2020-07-09
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