Real-time model predictive and rule-based control with green infrastructures to reduce combined sewer overflows

Jean, Marie-Ève; Morin, Camille; Duchesne, Sophie; Pelletier, Geneviève; Pleau, Martin

doi:10.1016/j.watres.2022.118753

Cited by 32 publications

(7 citation statements)

References 28 publications

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“…Each link was run for 9 rainfall events, using observed rainfall events causing CSO events in the current UDS configuration. This was deemed sufficient as it is in line with previously published work looking at RTC and UDS transitions (Jean et al., 2022).…”

Section: Case Studiessupporting

confidence: 59%

“…A heuristic‐based framework for the co‐implementation of RTC and SUDS was later devised and showed similar increased potential (Jean et al., 2021). In an extension of the framework, the implementation of real‐time optimization methods in the form of model predictive control (MPC) in conjunction with SUDS showed further increased potential (Jean et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Blue‐Green Infrastructure and Urban Area Densification on the Performance of Real‐Time Control of Sewer Networks

Werf

Kapelan

Langeveld

2023

Water Resources Research

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Urban drainage systems (UDS) are designed to convey wastewater and urban runoff away from populated areas to treat the water and increasingly to recover valuable resources from it. To prevent flooding during rainfall events, combined sewer overflows (CSOs) are installed to discharge the excess of combined wastewater and urban runoff (i.e., stormwater) into a receiving water body. These CSO events can negatively impact the receiving water quality (Owolabi et al., 2022) and can be highly persistent and long-lasting in nature, for example, as in the case of micro-pollutants from CSO events impacting water resources (Mutzner et al., 2022). These effects are projected to be exacerbated by more intense rainfall events resulting from climate change (Gogien et al., 2022) and the expansion and densification of the population in existing urban areas.To minimize the adverse effects of CSOs, blue-green infrastructure in the form of sustainable urban drainage systems (SUDS) is increasingly implemented to revert to the pre-urbanized hydrological conditions by allowing more infiltration in the urban environment (Carter & Fowler, 2008). Allowing significant parts of the urban runoff to infiltrate or to be temporarily stored, alleviates pressure on the drainage system and can therefore significantly reduce the CSO volumes (e.g., Chen et al., 2019). Using these types of nature based solutions are increasingly mandated by legislative bodies. The new EU Urban Wastewater Treatment Directive, for example, explicitly states a preference for green developments and states that gray infrastructure should only be envisaged where absolutely necessary. In future (re)developments of the urban environment, different runoff patterns compared to the current situation are therefore highly likely.Another increasingly popular option to reduce CSOs is the use of Real-Time Control (RTC) procedures. RTC relies on real-time data obtained from the UDS to optimally control the system actuators (pumps and moveable gates) which has the potential to improve the UDS performance by activating redundant storage capacity in the system (Schütze et al., 2004). Various methods have been developed to achieve this, and can broadly be defined as heuristic and real-time optimization control methods (Garcia et al., 2015). Heuristic control methods are usually in the form of rule-based control, where a set of (optimized) rules are defined offline and implemented online.

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Section: Case Studiessupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

The Impact of Blue‐Green Infrastructure and Urban Area Densification on the Performance of Real‐Time Control of Sewer Networks

Werf

Kapelan

Langeveld

2023

Water Resources Research

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“…Recent studies focusing on CSO control (Jean et al., 2021; Lund et al., 2019) advocate integrating GIs with RTC/MPC approaches is more efficient than SC scenarios, Specifically, the integration with MPC offers greater benefits, as highlighted in Jean et al. (2022).…”

Section: Resultsmentioning

confidence: 99%

“…Nonetheless, when storage capacity is quite limited relative to the inflows, the peak flow mitigations of RBC storages are less pronounced than those achieved with MPC storages. Recent studies focusing on CSO control (Jean et al, 2021;Lund et al, 2019) advocate integrating GIs with RTC/MPC approaches is more efficient than SC scenarios, Specifically, the integration with MPC offers greater benefits, as highlighted in Jean et al (2022).…”

Section: Performance Comparison: Control Scenarios Versus Baselinementioning

confidence: 99%

“…Although the positive impact of MPC is well‐recognized, practitioners require tools and frameworks to evaluate system designs that integrate controlled storage elements in conjunction with GI/LID. To date, only a few researchers have explored the impact of integrating RTC/MPC with green‐gray infrastructures (Frey et al., 2013; Jean et al., 2022; Lund et al., 2019), focusing on combined sewer overflow minimization and rarely quantifying the trade‐offs between costs and benefits during heavy rainfalls. Although it seems intuitive that the benefits of MPC in combined sewer systems would also apply to stormwater systems, the exact methodology remains unclear.…”

Section: Introductionmentioning

confidence: 99%

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Integrating Model Predictive Control With Stormwater System Design: A Cost‐Effective Method of Urban Flood Risk Mitigation During Heavy Rainfall

Sun,

Xia,

She

2024

Water Resources Research

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The integration of green‐gray infrastructures with advanced control approaches is revolutionizing the stormwater system retrofitting, emerging as an innovative strategy to mitigate urban flood risks. However, a major challenge lies in balancing the substantial investments of these infrastructure projects with their environmental benefits, such as reduced flooding volume and lower peak flow. Model predictive control (MPC), a dynamic and intelligent control approach, optimizes these environmental benefits but is underutilized in the system design phase for cost‐effectiveness analysis. This study introduces a multi‐scenario model framework that incorporates MPC and other control approaches into stormwater system designs, including the implementation of controlled storage tanks and green infrastructures. This framework provides comprehensive modeling tools for practitioners to evaluate the flood control benefits and costs across various infrastructure designs and control scenarios, ultimately identifying solutions that are both environmentally and economically viable. A case study conducted in a small urban catchment area in Shenzhen City, China, demonstrates the effectiveness of this framework. The results indicate that MPC outperforms other control scenarios, particularly under heavy or extreme rainfall conditions. Notably, MPC not only provides superior environmental benefits but also yields considerable cost savings, ranging from 1,787 to 9,371 USD per hectare compared to static control, equating to a 5% reduction in cost relative to rule‐based control. Such findings suggest that integrating MPC is a cost‐effective alternative to extensive infrastructure expansion for flood management, which significantly enhances the benefit contribution of controlled infrastructures without substantial additional expenses.

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Combined sewer overflow mitigation through SUDS - A review on modelling practices, scenario elaboration, and related performances

Montoya-Coronado,

Tedoldi,

Lenormand

et al. 2024

Journal of Environmental Management

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Real-time model predictive and rule-based control with green infrastructures to reduce combined sewer overflows

Cited by 32 publications

References 28 publications

The Impact of Blue‐Green Infrastructure and Urban Area Densification on the Performance of Real‐Time Control of Sewer Networks

The Impact of Blue‐Green Infrastructure and Urban Area Densification on the Performance of Real‐Time Control of Sewer Networks

Integrating Model Predictive Control With Stormwater System Design: A Cost‐Effective Method of Urban Flood Risk Mitigation During Heavy Rainfall

Combined sewer overflow mitigation through SUDS - A review on modelling practices, scenario elaboration, and related performances

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