The pressure for Water Resource Recovery Facilities (WRRF) operators to efficiently treat wastewater is greater than ever because of the water crisis, produced by the climate change effects and more restrictive regulations. Technicians and researchers need to evaluate WRRF performance to ensure maximum efficiency. For this purpose, numerical techniques, such as CFD, have been widely applied to the wastewater sector to model biological reactors and secondary settling tanks with high spatial and temporal accuracy. However, limitations such as complexity and learning curve, prevent extending CFD usage among wastewater modeling experts. This paper presents HydroSludge, a framework that provides a series of tools that simplify the implementation of the processes and workflows in a WRRF. This work leverages HydroSludge to preprocess existing data, aid the meshing process, and perform CFD simulations. Its intuitive interface proves itself as an effective tool to increase the efficiency of wastewater treatment

翻译：水资源回收设施（WRRF）运营商高效处理污水的压力比以往任何时候都更大，这是由气候变化效应导致的用水危机以及更严格的法规所引发的。技术人员和研究人员需要评估WRRF的性能以确保最大效率。为此，数值技术（例如CFD）已被广泛应用于污水领域，以高空间和时间精度对生物反应器和二次沉淀池进行建模。然而，复杂性和学习曲线等局限性阻碍了CFD在污水建模专家中的推广使用。本文介绍了HydroSludge，这是一个框架，提供了一系列工具，简化了WRRF中流程和工作流的实施。本研究利用HydroSludge对现有数据进行预处理、辅助网格划分过程并执行CFD模拟。其直观的界面证明了自己是提高污水处理效率的有效工具。