Advanced Control Systems Group at the Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Llorens i Artigas, 4-6, 08028, Barcelona, Spain.
Advanced Control Systems Group at the Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Llorens i Artigas, 4-6, 08028, Barcelona, Spain.
J Environ Manage. 2020 Sep 1;269:110798. doi: 10.1016/j.jenvman.2020.110798. Epub 2020 May 25.
An integrated pollution-based real-time control (RTC) approach is proposed for a sewer network (SN) integrated with wastewater treatment plants (WWTPs) in a sanitation system (SS) to mitigate the impacts of pollution from combined sewer overflows (CSOs) on ecosystems. To obtain the optimal solution for the SS while considering both quantity and quality dynamics for multiple objectives, model predictive control (MPC) is selected as the optimal control method. To integrate SN and WWTP management, a feedback coordination algorithm is developed. A closed-loop virtual-reality simulator is used to assess the results of the optimal management approach achieved by applying MPC. The Badalona SS (Spain) provides a pilot case study to assess the efficacy and applicability of the proposed approach. A comparison with local rule-based and volume-based control strategies currently in use indicates that the proposed integrated pollution-based RTC approach can reduce the pollutant loads released to the receiving environment.
提出了一种集成的基于污染的实时控制（RTC）方法，用于将污水处理厂（WWTP）与卫生系统（SS）中的污水管网（SN）集成，以减轻合流污水溢流（CSO）对生态系统的污染影响。为了在考虑多个目标的数量和质量动态的情况下获得 SS 的最佳解决方案，选择模型预测控制（MPC）作为最优控制方法。为了集成 SN 和 WWTP 管理，开发了一种反馈协调算法。闭环虚拟现实模拟器用于评估应用 MPC 实现的最佳管理方法的结果。西班牙巴达洛纳 SS 提供了一个试点案例研究，以评估所提出方法的功效和适用性。与当前使用的本地基于规则和基于体积的控制策略进行比较表明，所提出的基于集成污染的 RTC 方法可以减少释放到受纳环境的污染物负荷。
