Real-time control of a sewer network using a multi-goal objective function

Fiorelli, David; Schutz, Georges

doi:10.1109/med.2009.5164621

Cited by 9 publications

(16 citation statements)

References 6 publications

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“…The most commonly used objectives are listed in Table 4, of which CSO minimization is by far applied the most. Fiorelli et al (2013), Fiorelli and Schutz (2009), and Gill e et al (2008) have listed pros and cons for the first three objectives in Table 4 and offered suggestions for improvement. They concluded that the efficiency of CSO minimization is highly dependent on the quality of the input forecasts and that this objective is especially useful when CSO mitigation is not equally important at all CSO locations.…”

Section: Operational Goalsmentioning

confidence: 99%

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

135

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: Operational Goalsmentioning

confidence: 99%

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

135

108

View full text Add to dashboard Cite

show abstract

“…Regarding the complexity of an RTC system, distinctions of the class or level of control implemented in UDS can be made [14,16,17,18,19,22,23,24]. If the actuators are not remotely operated from a central control room, then the system is operated at a local level.…”

Section: Real-time Control Of Urban Drainage Systemsmentioning

confidence: 99%

“…MPC techniques are being developed for a drainage system that gathers the sewage of 23 villages and several small settlements located around the Haute-Sure reservoir, and directs it to one main WWTP [22,56]. Other countries where MPC has been studied and/or applied to UDS are: Canada [16], Germany [57], Colombia [58], and Netherlands [59].…”

Section: Model Predictive Control (Mpc)mentioning

confidence: 99%

Modeling and real-time control of urban drainage systems: A review

Garcia¹,

Barreiro-Gómez

Escobar³

et al. 2015

Advances in Water Resources

195

113

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Urban drainage systems (UDS) may be considered large-scale systems given their large number of associated states and decision actions, making challenging their real-time control (RTC) design. Moreover, the complexity of the dynamics of the UDS makes necessary the development of strategies for the control design. This paper reviews and discusses several techniques and strategies commonly used for the control of UDS. Moreover, the models to describe, simulate, and control the transport of wastewater in UDS are also reviewed.

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“…In this paper, the GPC method is also compared with a widely used proportional integral derivative (PID) control algorithm. In fact, optimisation and predictive control techniques provide doi: 10.2166/hydro.2012.117 an important contribution to strategy computation in urban water network management: both sewer network control and management of drinking water supply and water distribution networks (WDN; Cembrano et al 2004;Pleau et al 2005;Brdys et al 2008;Fiorelli & Schutz 2009;OcampoMartinez et al 2009). …”

Section: Introductionmentioning

confidence: 99%

Application of an optimal predictive controller for a small water distribution network in Luxembourg

Fiorelli¹,

Schutz²,

Metla³

et al. 2012

Journal of Hydroinformatics

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This paper deals with predictive control applied to the management of water storage in a smaii water distribution networi<. This online optimisation-based strategy is computed iteratively by solving a set of mathematical equations which describe the operative goais, in a given time horizon, and uses a representative model for the network dynamics as well as a demand forecast. The approach has been tested on a simulator developed for a four-reservoir water networi< of a commune of Luxembourg. Mathematical optimisation of the water distribution networi< is defined to account for ail the requirements put forward by the authorities (both the commune and the regional drini

show abstract

Real-time control of a sewer network using a multi-goal objective function

Cited by 9 publications

References 6 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

Modeling and real-time control of urban drainage systems: A review

Application of an optimal predictive controller for a small water distribution network in Luxembourg

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