Controlling sewer systems – a critical review based on systems in three EU cities

Mollerup, Ane Loft; Mikkelsen, Peter Steen; Thornberg, Dines; Sin, Gürkan

doi:10.1080/1573062x.2016.1148183

Cited by 37 publications

(20 citation statements)

References 24 publications

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“…Having a clear strategy for making the control setup compatible with a real-world implementation is obviously important. Figure 8 shows a slightly modified version of the time-scale dependent control hierarchy proposed by Mollerup et al (2017). This hierarchy breaks down the overall control problem into four distinct hierarchical levels that can be managed independently and have clear communication interfaces.…”

Section: Control Hierarchiesmentioning

confidence: 99%

“…1 takes care of the regulatory control; thus, it ensures that the set-points received from higher layers are followed. Mollerup et al (2017) placed MPC at the second layer. In practice MPC is often placed in a merged second and third layer, where it computes the overall global (system-wide) set-points.…”

Section: Control Hierarchiesmentioning

confidence: 99%

“…In case this also fails, actuators can automatically be set to predefined, fixed levels. The need for a combination of local and global control schemes is acknowledged in the MPC literature (see, for example, Duchesne et al, 2004;Fiorelli et al, 2013;Frier et al, 2013;Garc ıa et al, 2015;Joseph-Duran et al, 2014b;Mollerup et al, 2017; 2008; Papageorgiou, 1983;Pleau et al, 2005). However, the lower control levels are only rarely included in the model setup and evaluation in the reviewed literature.…”

Section: Control Hierarchiesmentioning

confidence: 99%

“…Time-scale dependent control hierarchy for sewer systems. The indication of control strategies used at each layer in the hierarchy is slightly modified fromMollerup et al (2017) based on the terminology and structure developed in this review.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management

Lund

Falk

Borup

et al. 2018

Critical Reviews in Environmental Science and Technology

137

108

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Model predictive control (MPC) can be used to manage combined urban drainage systems more efficiently for protection of human health and the environment, but examples of operational implementations are rare. This paper reviews more than 30 years of partly heterogeneous research on the topic. We propose a terminology for MPC of urban drainage systems and a hierarchical categorization where we emphasize four overall components: the "receding horizon principle", the "optimization model", the "optimization solver", and the "internal MPC model". Most of the reported optimization models share the trait of a multiobjective optimization based on a conceptual internal MPC model. However, there is a large variety of both convex and non-linear optimization models and optimization solvers as well as constructions of the internal MPC model. Furthermore, literature disagrees about the optimal length of the components in the receding horizon principle. The large number of MPC formulations and evaluation approaches makes it problematic to compare different MPC methods. This review highlights methods, challenges, and research gaps in order to make MPC of urban drainage systems accessible for researchers and practitioners from different disciplines. This will pave the way for shared understanding and further development within the field, and eventually lead to more operational implementations.

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Section: Control Hierarchiesmentioning

confidence: 99%

Section: Control Hierarchiesmentioning

confidence: 99%

Section: Control Hierarchiesmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management

Lund

Falk

Borup

et al. 2018

Critical Reviews in Environmental Science and Technology

137

108

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“…RTC technology can optimize RWH system performance, by the managed release of water from the system to reduce the volume of uncontrolled stormwater runoff, and/or to supply water for restoring baseflows in streams. This technology has been widely used in wastewater systems to monitor and control water quality [40,41] and address combined sewer overflow (CSO) and sanitary sewer overflow (SSO) issues [42,43]. However, the potential to incorporate RTC into RWH systems remains largely untested.…”

Section: Introductionmentioning

confidence: 99%

Improving the Multi-Objective Performance of Rainwater Harvesting Systems Using Real-Time Control Technology

Fletcher

Duncan

et al. 2018

Water

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Abstract:Many studies have identified the potential of rainwater harvesting (RWH) systems to simultaneously augment potable water supply and reduce delivery of uncontrolled stormwater flows to downstream drainage networks. Potentially, such systems could also play a role in the controlled delivery of water to urban streams in ways which mimic baseflows. The performance of RWH systems to achieve these three objectives could be enhanced using Real-Time Control (RTC) technology to receive rainfall forecasts and initiate pre-storm release in real time, although few studies have explored such potential. We used continuous simulation to model the ability of a range of allotment-scale RWH systems to simultaneously deliver: (i) water supply; (ii) stormwater retention; and (iii) baseflow restoration. We compared the performance of RWH systems with RTC technology to conventional RWH systems and also systems designed with a passive baseflow release, rather than the active (RTC) configuration. We found that RWH systems employing RTC technology were generally superior in simultaneously achieving water supply, stormwater retention and baseflow restoration benefits compared with the other types of system tested. The active operation provided by RTC allows the system to perform optimally across a wider range of climatic conditions, but needs to be carefully designed. We conclude that the active release mechanism employing RTC technology exhibits great promise; its ability to provide centralised control and failure detection also opens the possibility of delivering a more reliable rainwater harvesting system, which can be readily adapted to varying climate over both the short and long term.

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Real-Time Control of Rainwater Harvesting Systems: The Benefits of Increasing Rainfall Forecast Window

Fletcher

Burns

et al. 2020

Preprint

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Controlling sewer systems – a critical review based on systems in three EU cities

Cited by 37 publications

References 24 publications

Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management

Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management

Improving the Multi-Objective Performance of Rainwater Harvesting Systems Using Real-Time Control Technology

Real-Time Control of Rainwater Harvesting Systems: The Benefits of Increasing Rainfall Forecast Window

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