scholarly journals Calibration of Design Models for Leakage Management of Water Distribution Networks

2021 ◽  
Author(s):  
L. Berardi ◽  
O. Giustolisi
Keyword(s):  
Asset Management ◽  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Water Losses ◽  
Flow Measurements ◽  
Hydraulic Models ◽  
Management Actions ◽  
Physically Based ◽  
Management Plans

AbstractWater losses in urban water distribution networks (WDN) accelerate the deterioration of such infrastructures. The enhanced hydraulic modelling provides a phenomenological representation of WDN hydraulics, including the modelling of leakages as function of pipe average pressure and deterioration. The methodological use of such models on real WDN was demonstrated to support the planning of leakage management actions. Nonetheless, many water utilities are still in the process of designing flow/pressure monitoring, thus data available are not enough to perform detailed calibration of such models.This work presents a physically based approach for the calibration of WDN hydraulic models aimed at supporting leakage management plans since early stages. The proposed procedure leverages the key role of mass balance in enhanced hydraulic models and the technical insight on pipe deterioration mechanisms for various quantity and quality of available data. Two calibration studies of real WDNs demonstrate the feasibility of the approach and show that the distribution of leakages in the WDN does not much influence the pressure values, which confirms the need for flow measurements at monitoring districts for leakage and asset management.

scholarly journals Robust Data-Driven Leak Localization in Water Distribution Networks Using Pressure Measurements and Topological Information

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7551
Author(s):  
Débora Alves ◽  
Joaquim Blesa ◽  
Eric Duviella ◽  
Lala Rajaoarisoa
Keyword(s):  
Water Distribution ◽  
Pressure Sensors ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Data Driven ◽  
Pressure Measurements ◽  
Leak Pressure ◽  
Flow Measurements ◽  
Topological Information ◽  
Probable Path

This article presents a new data-driven method for locating leaks in water distribution networks (WDNs). It is triggered after a leak has been detected in the WDN. The proposed approach is based on the use of inlet pressure and flow measurements, other pressure measurements available at some selected inner nodes of the WDN, and the topological information of the network. A reduced-order model structure is used to calculate non-leak pressure estimations at sensed inner nodes. Residuals are generated using the comparison between these estimations and leak pressure measurements. In a leak scenario, it is possible to determine the relative incidence of a leak in a node by using the network topology and what it means to correlate the probable leaking nodes with the available residual information. Topological information and residual information can be integrated into a likelihood index used to determine the most probable leak node in the WDN at a given instant k or, through applying the Bayes’ rule, in a time horizon. The likelihood index is based on a new incidence factor that considers the most probable path of water from reservoirs to pressure sensors and potential leak nodes. In addition, a pressure sensor validation method based on pressure residuals that allows the detection of sensor faults is proposed.

scholarly journals Water Loss Reduction in Water Distribution Networks. Case Study

2019 ◽  
Vol 9 (1) ◽  
pp. 73-80
Author(s):  
Anca Hoțupan ◽  
Roxana Mare ◽  
Adriana Hădărean
Keyword(s):  
Water Flow ◽  
Water Loss ◽  
Water Distribution ◽  
Potable Water ◽  
Distribution Network ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Water Losses ◽  
Supply Pipe ◽  
Looped Network

Abstract Water losses on the potable water distribution networks represent an important issue; on the one hand, water loss does not bring money and on the other hand, they modify water flow and pressure distribution on the entire system and this can lead to a cut-off of the water supply. A stringent monitoring of the water distribution network reduces considerably the water losses. The appearance of a leakage inside the distribution network is inevitable in time. But very important is its location and repair time – that are recommended to be as short as possible. The present paper analyses the hydraulic parameters of the water flow inside a supply pipe of a looped network that provides potable water for an entire neighbourhood. The main goals are to optimize these parameters, to reduce water losses by rigorous monitoring and control of the service pressure on the supply pipe and to create a balance between pressure and water flow. The presented method is valid for any type of distribution network, but the obtained values refer strictly to the analysed potable water distribution looped network.

scholarly journals Performance Modeling and Simulation for Water Distribution Networks

2021 ◽  
Vol 3 ◽  
Author(s):  
Amin Ganjidoost ◽  
Mark A. Knight ◽  
Andre J. A. Unger ◽  
Carl T. Haas
Keyword(s):  
Modeling And Simulation ◽  
Asset Management ◽  
Management Strategy ◽  
Water Distribution ◽  
Performance Modeling ◽  
Distribution Networks ◽  
Water Utilities ◽  
Water Distribution Networks ◽  
Implementation Framework ◽  
The Impact

This study develops an implementation framework for asset management strategic planning of water distribution networks to meet sustainable infrastructure, socio-political, and financial targets over the life cycle of the infrastructure. The proposed framework is comprised of three decision-making layers: (1) Visions and Values, (2) Function, and (3) Performance. The asset management strategy framework is implemented and validated by demonstrating functionality and value by using data from three water utilities in Canada. The Visions and Values layer is set to meet the needs of the water utilities' stakeholders. The Function layer uses an advanced system dynamics model to simulate and forecast the system's future behavior. The Performance layer benchmarks, compares, and graphically illustrates the situation and performance of water utilities against each other regardless of their size. Benchmarking results indicate that all three water utilities can sustainably meet the strategic targets established in the Visions and Values layer of the asset management strategy over the benchmarking period. The impact of the desired cash reserve on infrastructure and financial benchmarking performance indicators is also investigated to explore the “optimal” combination of allowable fee-hike and rehabilitation rates using the contour plots developed over the benchmarking period. The results indicate that the optimal combinations of allowable fee-hike of ~8% per year and rehabilitation rate of 1.3% per year along with a 1–4% cash reserve, depends on the network condition, will allow water utilities to have sufficient funds to meet their strategic targets. The performance modeling and simulation approach presented in this study represents a powerful tool for other utilities to develop optimal strategic and operational plans for their networks and thus better service to their stakeholders.

scholarly journals Losses in water distribution networks – a bibliometric review: general aspects and optimization

2021 ◽  
Vol 10 (12) ◽  
pp. e407101220659
Author(s):  
Emerson Pessanha de Almeida ◽  
Fernando das Graças Braga da Silva ◽  
Victor Eduardo de Mello Valerio
Keyword(s):  
Bibliometric Analysis ◽  
Distribution Systems ◽  
Water Distribution ◽  
State Of The Art ◽  
Distribution Networks ◽  
Current Situation ◽  
The State ◽  
Water Distribution Networks ◽  
Water Losses ◽  
General Aspects

The research carried out in the water distribution networks is of great importance, given the social, environmental and economic impacts that have occurred due to the scarcity of water resources. Therefore, any scientific effort shown in research that studies water distribution systems is of great relevance. Techniques such as mathematical modeling, computer simulation and statistical methods are widely used in order to obtain more reliable answers, whether for the identification of the current situation of the network, as well as for the prediction of scenarios, failure events, increased demand, etc. The objective of this work is to carry out a bibliometric analysis to identify the state of the art of research that addresses the theme of water distribution networks for the control and reduction of the volume of water losses, which will serve as a guide for future works to to structure itself in the most relevant researches that study the theme. The developed methodology was able to analyze a metadata composed of 4188 documents taken from the Web of Science journals database. As a result, a geographical view of the theme was obtained, pointing out the main countries, affiliations, journals and researchers, as well as pointing out the main documents and relevance of the theme. It can be concluded after the results obtained that bibliometric analysis is an important tool for obtaining the state of the art. With it is possible to have a better understanding of the current situation in the development of research, familiarizing researchers with what is most current and relevant.

scholarly journals Pressure Management of Water Distribution Networks Based on Minimum Ground Elevation Difference of DMAs

2020 ◽  
Vol 2 (1) ◽  
pp. 47
Author(s):  
Giovanni Francesco Santonastaso ◽  
Armando Di Nardo ◽  
Michele Di Natale ◽  
Velitchko Tzatchkov
Keyword(s):  
Water Distribution ◽  
Water Distribution Network ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Network Partitioning ◽  
Pressure Management ◽  
Water Network ◽  
Water Losses ◽  
Flow Meters ◽  
Elevation Difference

Water network partitioning (WNP) represents an efficient strategy to improve management of water distribution networks, reduce water losses and monitor water quality. It consists in physically dividing of a water distribution network (WDN) into districted metered areas (DMAs) through the placement of flow meters and isolation valves on boundary pipes between DMAs. In this paper, a novel methodology for designing DMAs is proposed that provides districts with quite similar node elevations and minimizes the number of boundary pipes in order to simplify pressure management and reduce the number of devices to place into the network.

Digital Transformation Paradigm for Asset Management in Water Distribution Networks

2021 ◽  
Author(s):  
Francesco Gino Ciliberti ◽  
Luigi Berardi ◽  
Daniele Biagio Laucelli ◽  
Orazio Giustolisi
Keyword(s):  
Asset Management ◽  
Water Distribution ◽  
Distribution Networks ◽  
Digital Transformation ◽  
Water Distribution Networks

scholarly journals Leak Localization in Water Distribution Networks Using Pressure and Data-Driven Classifier Approach

Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 54 ◽  
Author(s):  
Congcong Sun ◽  
Benjamí Parellada ◽  
Vicenç Puig ◽  
Gabriela Cembrano
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Data Driven ◽  
Time Step ◽  
Water Losses ◽  
Localization Accuracy ◽  
Linear Discriminant ◽  
Data Driven Approach ◽  
Leak Localization

Leaks in water distribution networks (WDNs) are one of the main reasons for water loss during fluid transportation. Considering the worldwide problem of water scarcity, added to the challenges that a growing population brings, minimizing water losses through leak detection and localization, timely and efficiently using advanced techniques is an urgent humanitarian need. There are numerous methods being used to localize water leaks in WDNs through constructing hydraulic models or analyzing flow/pressure deviations between the observed data and the estimated values. However, from the application perspective, it is very practical to implement an approach which does not rely too much on measurements and complex models with reasonable computation demand. Under this context, this paper presents a novel method for leak localization which uses a data-driven approach based on limit pressure measurements in WDNs with two stages included: (1) Two different machine learning classifiers based on linear discriminant analysis (LDA) and neural networks (NNET) are developed to determine the probabilities of each node having a leak inside a WDN; (2) Bayesian temporal reasoning is applied afterwards to rescale the probabilities of each possible leak location at each time step after a leak is detected, with the aim of improving the localization accuracy. As an initial illustration, the hypothetical benchmark Hanoi district metered area (DMA) is used as the case study to test the performance of the proposed approach. Using the fitting accuracy and average topological distance (ATD) as performance indicators, the preliminary results reaches more than 80% accuracy in the best cases.

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