Improving the performance of stormwater detention basins by real-time control using rainfall forecasts

Gaborit, Étienne; Muschalla, Dirk; Vallet, Bertrand; Vanrolleghem, Peter A.; Anctil, François

doi:10.1080/1573062x.2012.726229

Cited by 87 publications

(58 citation statements)

References 31 publications

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“…Even a single remotely controlled valve can yield immediate benefits (Bryant & Wadzuk, 2017;Gaborit et al, 2013;Muschalla et al, 2014). For example, a valve can be used to extend hydraulic retention time, thus promoting the capture of sediment-bound pollutants (Carpenter et al, 2014;Gaborit et al, 2016;Gilpin & Barrett, 2014).…”

Section: 1029/2018wr022657mentioning

confidence: 99%

Real‐Time Control of Urban Headwater Catchments Through Linear Feedback: Performance, Analysis, and Site Selection

Wong

Kerkez

2018

Water Resources Research

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The real‐time control of urban watersheds is now being enabled by a new generation of “smart” and connected technologies. By retrofitting stormwater systems with sensors and valves, it becomes possible to adapt entire watersheds dynamically to individual storms. A catchment‐scale control algorithm is introduced, which abstracts an urban watershed as a linear integrator delay dynamical system, parameterizes it using physical watershed characteristics, and then controls network flows using a Linear Quadratic Regulator. The approach is simulated on a 4‐km2 urban headwater catchment in Ann Arbor, Michigan, demonstrating the gains of a stormwater system that can adaptively balance between flood mitigation and flow reduction. We introduce an equivalence analysis and illustrate the performance of the controlled watershed across large events (30‐year storms) to show the uncontrolled passive watershed can only match it during smaller events (10‐year storm). For these smaller events, the storage volume of the controlled storage nodes (ponds, basins, and wetlands) could be reduced as much as 50% and still achieve the same performance of the controlled watershed. A controller placement analysis is also carried out, whereby all possible combinations of controlled sites are simulated across a wide spectrum of design storms. We show that the control of every storage node may not be needed in a watershed, but rather that in our case study a small subset (30%) of the overall watershed can be controlled in coordination to achieve outcomes that match a fully controlled system, even when tested across a long‐term rainfall record and under noisy sensor measurements.

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Section: 1029/2018wr022657mentioning

confidence: 99%

Real‐Time Control of Urban Headwater Catchments Through Linear Feedback: Performance, Analysis, and Site Selection

Wong

Kerkez

2018

Water Resources Research

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“…The cost of active release rainwater harvesting systems applied at residential household scales will likely be greater than that of passive release systems, given the requirement for the valve control and communication systems [38,59]. However, these multi-objective RWH systems employed with RTC technology can be incorporated into combined sewer systems and become a feasible supplement to the existing centralized system, with great potential to reduce or even eliminate combined sewer overflow (CSO) [21,38,60].…”

Section: Costmentioning

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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“…The control strategy can aim to minimise, for example, pollution loads discharged by overflow structures, integrating the approach presented by Lacour andScheutze (2011), Hoppe et al (2011) and Gaborit et al (2012).…”

Section: Future Outlookmentioning

confidence: 99%

A generalised Dynamic Overflow Risk Assessment (DORA) for Real Time Control of urban drainage systems

Vezzaro

Grum

2014

Journal of Hydrology

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An innovative and generalised approach to the integrated real time control of urban drainage systems is presented. The Dynamic Overflow Risk Assessment (DORA) strategy aims to minimise the expected Combined Sewer Overflow (CSO) risk by considering (i) the water volume presently stored in the drainage network, (ii) the expected runoff volume (calculated by radar-based nowcast models) and -most important -(iii) the estimated uncertainty of the runoff forecasts. The inclusion of uncertainty allows for a more confident use of Real Time Control (RTC). Overflow risk is calculated by a flexible function which allows for the prioritisation of the discharge points according to their sensitivity and intended use. DORA was tested on a hypothetical example inspired by the main catchment in the city of Aarhus (Denmark). An analysis of DORA's performance over a range of events with different return periods, using a simple conceptual model, is presented. Compared to a traditional local control approach, DORA contributed to reduce CSO volumes from the most sensitive points while reducing total CSO volumes discharged from the catchment. Additionally, the results show that the inclusion of forecasts and their uncertainty contributed to further improving the performance of drainage systems. The results of this paper will contribute to the wider usage of global RTC methods in the management of urban drainage networks.

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Improving the performance of stormwater detention basins by real-time control using rainfall forecasts

Cited by 87 publications

References 31 publications

Real‐Time Control of Urban Headwater Catchments Through Linear Feedback: Performance, Analysis, and Site Selection

Real‐Time Control of Urban Headwater Catchments Through Linear Feedback: Performance, Analysis, and Site Selection

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

A generalised Dynamic Overflow Risk Assessment (DORA) for Real Time Control of urban drainage systems

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