The efficient distribution of water is a subject major concern for utilities and authorities [1]. While some leaks in networks (WDNs) are unavoidable, one the main challenges improving efficiency drinking to minimize leaks. Leaks can cause significant economic losses fluid transportation extra costs final consumer due waste energy chemicals treatment plants. may also damage infrastructure third-party health risks. In many WDNs, leakage estimated account up 30% total amount extracted [2];...

Success in the application of any model-based methodology (e.g., design, control, supervision) highly depends on availability a well-calibrated model. The calibration water distribution networks needs to be performed online due continuous evolution demands. During process, background leakages or bursts can unintentionally incorporated demand model and treated as system (change demands). This work proposes leak-detection localization approach coupled with that identifies geographically...

Research in water distribution networks during recent decades has often focused on calibration. There is no unique solution for this problem as the methodologies are developed depending which parameters have to be calibrated and final use of model. This work presents a demand calibration methodology that identifies set patterns minimize error predicted measurements. The singular value decomposition (SVD) sensitivity matrix powerful tool solving optimization problem. Additionally, work, deep...

The performance and success of model-based leak localization methods applied to water networks highly depends on the uncertainty system considered. One main sources in these are demands network nodes. This work developes a methodology evaluate ability an existing algorithm locate leaks presence bounded node demands. Zonotopic sets found be specially suited bound nodal demand uncertainty. Two consistent approaches effect decision result shown: Montecarlo approach combined with zonotope...

Water distribution network models are widely used by water companies. Consumer demands one of the main uncertainties in these models, but their calibration is not feasible due to low number sensors available most real networks. However, behaviour individual can be also calibrated if some a priori information available. A methodology for calibrating demand patterns based on singular value decomposition (SVD) presented. Demand stochastic nature overcome using multiple data samples. The applied...

This work presents a methodology to efficiently calibrate chlorine decay models. The calibration consists in estimating the unknown parameters by comparing measured and simulated concentrations at monitored nodes within distribution system least square sense using normalized quadratic cost function. Since this function involves non- explicit expression of model, genetic algorithm (GA) is applied optimize model minimizing difference between model-predicted values field-measured ones. method...

Model-based leak localization methods are currently developed and applied to real cases. The performance success of such depend highly both on models [Pérez et al. (2011a)] the measurements available. optimal distribution sensors is a good approach (2009)]. Nevertheless, in huge network with hundreds District Metered Area (DMA) question how methodology can help already installed arises. This paper presents sequence steps assess given leakage [Quevedo (2011)]. Initially, flow at control...

The use of water distribution network (WDN) models is an extended practice [13]. Confidence on decisions taken upon such depends highly their accuracy [11]. parameters uncertainty has to be defined in order include it the model. Some a (e.g. pipes lengths and diameters) can easily measured calculated statistical basis [4]. Demands cannot directly they have estimated using other measurements [8,10]. used for that estimation propagated [1]. Besides, demands own stochastic nature induces...

Leakages are present to some extent in all water-distribution systems. This paper compares two model based methodologies for leakage isolation water distribution networks. Both on the pressure measurements and sensitivity analysis of nodes a network. Simulations network presence absence may provide an approximation this sensitivity. The difference between both relies how information matrix is handled. In first approach, binarised using threshold. resultant binary assumed as signature...

This paper presents a methodology for leakage localization using FIR (Fuzzy Inductive Reasoning). A real water network situated in Barcelona has been subdivided zones which could contain leakage. Two sensors measure pressures on two separated points of the network. faulty fuzzy model each zone and sensor is generated. Test data have used classification leakages order to evaluate how this helps localization. Results are compared with another isolation methodology. All work done simulations...

The use of water distribution network models depends highly on the confidence that operators have them. Models generated automatically from Geographical Information System using hydraulic equations integrated in a simulation model [7] are available most utilities. Once first results compared with measurements, calibration is required [6]. This paper presents process adjusting original village called Sant Joan de Vilatorrada to fit measurements. adjustments range macroalibration level...

Water distribution network models are used by water companies in a wide range of applications. A good calibration these is required order to improve the confidence application results. Pressure and flow measurements main source information when calibrating hydraulic model. The selection both type location sensors crucial guarantee calibration. This paper describes sensor placement methodology based on analysis pressure sensitivity using Singular Value Decomposition. comparison demand real...

Abstract. This paper proposes a model based detection and localisation method to deal with abnormal quality levels on the chlorine measurements sensitivity analysis in water distribution network. A fault isolation algorithm which correlates line residuals (generated by comparing available their estimations using model) matrix is used. The proposed methodology has been applied District Metered Area (DMA) Barcelona

The leak localisation methodologies based on data and models are affected by both uncertainties in the model measurements. This uncertainty should be quantified so that its effect methods performance can estimated. In this paper, a model-based methodology is applied to real District Metered Area using synthetic data. generation process of data, demands taken into account. was estimated it justify observed consists, first, generating set possible measurements, obtained Monte Carlo Simulation...

Abstract. This paper proposes a model based detection and localisation method to deal with abnormal quality levels on the chlorine measurements sensitivity analysis in water distribution network. A fault isolation algorithm which correlates line residuals (generated by comparing available their estimations using model) matrix is used. The proposed methodology has been applied District Metered Area (DMA) Barcelona