Use of Metamodels in Real-Time Operation of Water Distribution Systems

Odan, Frederico Keizo; Reis, Luisa Fernanda Ribeiro; Kapelan, Zoran

doi:10.1016/j.proeng.2014.11.211

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…Therefore in reality offline calculations are combined with online calculations. Optimal pump scheduling in real time with or without tank near-optimal tank water levels has been research by [14] and [15]. Offline calculations are common for some particular network components that do not change in time, for example optimal pump working combinations that can be selected during online calculation step [16] so that the energy use will be optimal.…”

Section: Introductionmentioning

confidence: 99%

Real Time Water Supply System Hydraulic and Quality Modeling – A Case Study

Sunela¹,

Puust²

2015

Procedia Engineering

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This paper presents a real time water supply system hydraulic and quality modeling framework that is applied in a case study. The simulated quality parameters include age, traced water source, temperature, pH, hardness and free chlorine.A full-scale and well-calibrated hydraulic model of the whole water supply system is built using an extended version of EPANET, allowing storing and restoring the state of plug flow in links. Once an hour, the simulator is updated with the previous hour's hydraulic and quality state from the utility's supervisory control and data acquisition (SCADA) system and a simulation is performed. The results are stored both in GeoJSON format for geographic information systems (GIS) and in a relational database for later use. Some results are presented to the general public in a geographically aggregated form over a web user interface and as open data using Representational State Transfer (REST) web service interface.

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Section: Introductionmentioning

confidence: 99%

Real Time Water Supply System Hydraulic and Quality Modeling – A Case Study

Sunela¹,

Puust²

2015

Procedia Engineering

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“…Cost-savings within a similar range were also predicted for a medium-sized water transmission system in Seoul (South Korea) (Jung et al, 2015). In order to save computational time and efficiently determine the optimal pump regime, Odan et al (2014) replaced the WDS hydraulic model with a meta-model based on an artificial neural network algorithm. Savings of approximately 16% were predicted in applying this methodology to a WDS in Brazil.…”

Section: Water Distribution System Optimisationmentioning

confidence: 91%

Sweating the assets – The role of instrumentation, control and automation in urban water systems

et al. 2019

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“…Digital twins and problem-tailored numerical models for WDS management is an actively researched area with a vivid research community. Measurement-dependent models are successful in optimal pump scheduling (Candelieri et al, 2020;Bagloee et al, 2018;Odan et al, 2014;Bhattacharya et al, 2003), in water demand forecast (Farias et al, 2018;Herrera et al, 2010) and in attack and leakage detection (Quiñones-Grueiro et al, 2019;Arsene et al, 2012;Deng et al, 2011), among others. Ongoing efforts on developing digital twins for water networks are summarized by Fuertes et al (2020).…”

Section: Introductionmentioning

confidence: 99%

Reconstructing nodal pressures in water distribution systems with graph neural networks

Hajgató¹,

Gyires-Tóth²,

Paál³

2021

Preprint

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Knowing the pressure at all times in each node of a water distribution system (WDS) facilitates safe and efficient operation. Yet, complete measurement data cannot be collected due to the limited number of instruments in a real-life WDS. The data-driven methodology of reconstructing all the nodal pressures by observing only a limited number of nodes is presented in the paper.The reconstruction method is based on K-localized spectral graph filters, wherewith graph convolution on water networks is possible. The effect of the number of layers, layer depth and the degree of the Chebyshev-polynomial applied in the kernel is discussed taking into account the peculiarities of the application. In addition, a weighting method is shown, wherewith information on friction loss can be embed into the spectral graph filters through the adjacency matrix.The performance of the proposed model is presented on 3 WDSs at different number of nodes observed compared to the total number of nodes. The weighted connections prove no benefit over the binary connections, but the proposed model reconstructs the nodal pressure with at most 5% relative error on average at an observation ratio of 5% at least. The results are achieved with shallow graph neural networks by following the considerations discussed in the paper.

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Use of Metamodels in Real-Time Operation of Water Distribution Systems

Cited by 7 publications

References 7 publications

Real Time Water Supply System Hydraulic and Quality Modeling – A Case Study

Real Time Water Supply System Hydraulic and Quality Modeling – A Case Study

Sweating the assets – The role of instrumentation, control and automation in urban water systems

Reconstructing nodal pressures in water distribution systems with graph neural networks

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