The operational flexibility of Sequencing Batch Reactors (SBR) makes this technology especially resilient to changes in functional requirements. A main feature of SBRs is that plant upgrading from nitrogen to phosphorus removal specifications becomes straightforward by simple adaptation of the manipulated variables. In contrast, the optimum design and operation of these processes is an intricate problem whose formulation involves multiple considerations such as mathematical descriptions for both biological transformations and solids separation phenomena, design procedures for air diffusers, etc. Moreover, the dynamic nature of SBRs adds extra complexity when it comes to solving optimization problems for this technology. In this paper, a model-based optimization framework is proposed to solve the optimum design and operation of SBR systems. This framework splits the whole problem into two single objective optimization sub-problems. The dimensions of the SBR are first calculated; Then, the operational costs in the long-term are optimized. A case-study for a population of $100000$ inhabitant-equivalent demonstrates the potential of the framework.

顺序批处理反应器（SBR）的操作灵活性使该技术对功能需求的变化特别有弹性。SBR的主要特征是，通过简单地调整操纵变量，即可将植物从脱氮规格升级为脱磷规格变得简单。相比之下，这些工艺的最佳设计和操作是一个复杂的问题，其制定涉及多个考虑因素，例如有关生物转化和固体分离现象的数学描述，空气扩散器的设计程序等。此外，SBR的动态特性增加了额外的影响。解决该技术的优化问题时的复杂性。本文提出了一种基于模型的优化框架，以解决SBR系统的优化设计和运行问题。该框架将整个问题分为两个单个目标优化子问题。首先计算SBR的尺寸；然后，可以优化长期的运营成本。一项针对人口众多的案例研究$100000$ 等价居民证明了该框架的潜力。