Integrating simulation models with a view to optimal control of urban wastewater systems

Butler, David; Schütze, Manfred

doi:10.1016/j.envsoft.2004.02.003

Cited by 132 publications

(100 citation statements)

References 27 publications

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“…In the UK, about 70% by length of the sewer systems are combined, with wastewater and stormwater flowing together in the same pipe, a situation not unusual in many other developed countries (Butler & Davies 2004). Thus, such a combined sewer system is assumed for the example application in this paper.…”

Section: Development Of the Ann Input And Outputmentioning

confidence: 99%

“…Developing an integrated urban wastewater model to simulate the sewer system and treatment plant as a whole began to gain increased attention in the 1990s, although this idea was first proposed and discussed several decades ago (see also Butler & Schü tze (2005) for a more extended discussion and review on, and development of, real-time control for the integrated urban wastewater system). Since then, several simulation tools and methods have been developed to assess the integrated urban wastewater system performance (Rauch et al 2002).…”

Section: The Integrated Urban Wastewater Modelmentioning

confidence: 99%

“…In terms of subsystems' interaction, even conventional urban water modelling usually treats the subsystems as separate while the interactions between the entire urban water system and the surrounding catchment are mostly ignored in "standard" catchment models (Butler & Schü tze 2005). Reasons of complexity and computational burden are mostly at the heart of these modelling gaps.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, these models are generally used to predict water quality and quantity responses to extreme climatic or incidental events, management options and interventions. Urban areas affect the natural water cycle, at a catchment scale, in two ways: abstraction of water from the natural cycle for water supply to support life and then return of wastewater after use, and the covering of land with doi: 10.2166/hydro.2009.151 impermeable surfaces that divert rainwater away from the local natural drainage system (Butler & Davies 2004). …”

Section: Introductionmentioning

confidence: 99%

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Simulation of urban wastewater systems using artificial neural networks: embedding urban areas in integrated catchment modelling

Makropoulos

Butler

2009

Journal of Hydroinformatics

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The urban wastewater system is an important part of integrated water management at the catchment level, yet, more often than not, inclusion of the system and its interaction with the surrounding catchment is either oversimplified or totally ignored in catchment modelling. Reasons of complexity and computational burden are mostly at the heart of this modelling gap. This paper proposes to use artificial neural networks (ANN) as a surrogate for the simulation of the urban wastewater system, allowing for a more realistic representation of the urban component to be incorporated into catchment models within a broad scale modelling framework. As a proof of concept, an integrated urban wastewater model is developed and its response in terms of both quantity and quality in combined sewer overflow (CSO) discharges and treatment plant effluent are captured and used to train a feedforward back-propagation ANN. The comparative results of the integrated urban water model and the ANN show good agreement for both water quantity and quality parameters. The resulting trained network is then embedded into a MIKE BASIN catchment model. It is suggested that ANN models greatly improve the level at which broad scale catchment models can accurately take into account urban-rural interactions.

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Section: Development Of the Ann Input And Outputmentioning

confidence: 99%

Section: The Integrated Urban Wastewater Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation of urban wastewater systems using artificial neural networks: embedding urban areas in integrated catchment modelling

Makropoulos

Butler

2009

Journal of Hydroinformatics

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“…For example, Beck 3 discussed the idea of a 'water quality system', consisting of water distribution network, sewer system, treatment plant, and river 4 . Integrated urban wastewater assessment fits into the holistic approach suggested by the Water Framework Directive 5 , which requires good ecological and chemical quality of surface and groundwater.…”

Section: Introductionmentioning

confidence: 99%

Application of Dynamic Simulations for Assessment of Urban Wastewater Systems Operation

Pijáková¹

2015

Chem.Biochem.Eng.Q.

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Hybrid modeling and receding horizon control of sewer networks

Joseph-Duran

Ocampo‐Martínez

Cembraño

2014

Water Resources Research

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In this work, a control-oriented sewer network model is presented based on a hybrid linear modeling framework. The model equations are described independently for each network element, thus allowing the model to be applied to a broad class of networks. A parameter calibration procedure using data obtained from simulation software that solves the physically based model equations is described and validation results are given for a case study. Using the control model equations, an optimal control problem to minimize flooding and pollution is formulated to be solved by means of mixed-integer linear or quadratic programming. A receding horizon control strategy based on this optimal control problem is applied to the case study using the simulation software as a virtual reality. Results of this closed-loop simulation tests show the effectiveness of the proposed approach in fulfilling the control objectives while complying with physical and operational constraints.

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Integrating simulation models with a view to optimal control of urban wastewater systems

Cited by 132 publications

References 27 publications

Simulation of urban wastewater systems using artificial neural networks: embedding urban areas in integrated catchment modelling

Simulation of urban wastewater systems using artificial neural networks: embedding urban areas in integrated catchment modelling

Application of Dynamic Simulations for Assessment of Urban Wastewater Systems Operation

Hybrid modeling and receding horizon control of sewer networks

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