scholarly journals Efficient Pressure Sensors Placement for Water Distribution Network Using Flow-Tracking Analysis

2021 ◽  
Author(s):  
Y.C. Huang ◽  
W.L. Yang
Keyword(s):  
Sensitivity Analysis ◽  
Objective Function ◽  
Time Complexity ◽  
Water Distribution ◽  
Pressure Sensors ◽  
Water Distribution Network ◽  
Head Loss ◽  
Sensor Nodes ◽  
Tracking Method ◽  
Coverage Ratio

Abstract This letter presents a novel approach for efficient deployment of top pressure sensors in water distribution network. Flow-Tracking analysis using head loss coverage ratio explores a least number of top sensors in network topologies. The following sequence of top sensor plans can be effortlessly determined by simple greedy algorithm. A regular hydraulic model with 33 sensor nodes is to validate the fast and effective feature of flow-tracking method. A top set of 5 sensor nodes selected by head loss coverage ratio Hcr in flow-tracking analysis agree exactly with top set of 5 sensitive nodes selected by objective function f(Xk) by means of Sensitivity Analysis. A linear relationship between objective function f(Xk) and heads loss coverage ratio Hcr of top sensor nodes reveals high accuracy mapping from flow-tracking method to Sensitivity Analysis. Time complexity of searching top sensors node set by flow-tracking analysis is O(m⋅n). Average pressure error can be expected as low as 0.08 m with top-two sensors in sensors layout. As top sensors in deployment plan are all used, minimum error of 0.04 m is achieved. Flow-Tracking analysis has the advantages of little time complexity and accurate top sensors strategy as a new efficient solution for pressure sensors deployment in associated flow network.

scholarly journals Leakage Detection through HL in Gurthali Water Supply Distribution Network using EPANET

2020 ◽  
Vol 9 (3) ◽  
pp. 3558-3565
Keyword(s):  
Pressure Drop ◽  
Water Distribution ◽  
Distribution Network ◽  
Research Work ◽  
Water Distribution Network ◽  
Leak Detection ◽  
Head Loss ◽  
Hydraulic Model ◽  
Leakage Detection ◽  
Valve Control

Water distribution network (WDN) design of hydraulic model Gurthali, NARWANA-JIND, HARYANA and objective of this paper to detecting the leakage in it.In current research work to find out the Hl through normal valve and leak valve control setting with randomly value.To detect the Head Loss to usedDarcy Weisbach methodwhich calculate the major and minor loss with friction in pipes links. EPANET tool is used to create enlarge hydraulic model and simulate the data. All the pipes to be analysis unit head loss and nodes analysis head loss foe every houses. For leak detection, four normal valve include to compute head loss or pressure drop on nodes, pipes and leak detection valves. Also find out the pressure and head loss on the all nodes and pipes.MS Excel used for leak detection data, at the various head loss values in valves, nodes, pipes links. Plot the various graphs with head loss on valves which generated that HL reduces drastically

scholarly journals Sensor placement for leak detection and location in water distribution networks

2014 ◽  
Vol 14 (5) ◽  
pp. 795-803 ◽  
Author(s):  
R. Sarrate ◽  
J. Blesa ◽  
F. Nejjari ◽  
J. Quevedo
Keyword(s):  
Water Distribution ◽  
Structural Model ◽  
Distribution Network ◽  
Pressure Sensors ◽  
Water Distribution Network ◽  
Leak Detection ◽  
Distribution Networks ◽  
Optimization Strategy ◽  
Sensor Configuration ◽  
Leak Detection And Location

The performance of a leak detection and location algorithm depends on the set of measurements that are available in the network. This work presents an optimization strategy that maximizes the leak diagnosability performance of the network. The goal is to characterize and determine a sensor configuration that guarantees a maximum degree of diagnosability while the sensor configuration cost satisfies a budgetary constraint. To efficiently handle the complexity of the distribution network an efficient branch and bound search strategy based on a structural model is used. However, in order to reduce even more the size and the complexity of the problem the present work proposes to combine this methodology with clustering techniques. The strategy developed in this work is successfully applied to determine the optimal set of pressure sensors that should be installed in a District Metered Area in the Barcelona water distribution network.

Capacity Expansion in Stochastic Flow Networks

1992 ◽  
Vol 6 (1) ◽  
pp. 99-118 ◽  
Author(s):  
Christos Alexopoulos ◽  
George S. Fishman
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Upper Bound ◽  
Network Flow ◽  
Water Distribution ◽  
Water Distribution Network ◽  
Monte Carlo Sampling ◽  
Data Set ◽  
Flow Capacity ◽  
Single Data

Sensitivity analysis represents an important aspect of network flow design problems. For example, what is the incremental increase in system flow of increasing the diameters of specified pipes in a water distribution network? Although methods exist for solving this problem in the deterministic case, no comparable methodology has been available when the network's arc capacities are subject to random variation. This paper provides this methodology by describing a Monte Carlo sampling plan that allows one to conduct a sensitivity analysis for a variable upper bound on the flow capacity of a specified arc. The proposed plan has two notable features. It permits estimation of the probabilities of a feasible flow for many values of the upper bound on the arc capacity from a single data set generated by the Monte Carlo method at a single value of this upper bound. Also, the resulting estimators have considerably smaller variancesthan crude Monte Carlo sampling would produce in the same setting. The success of the technique follows from the use of lower and upper bounds on each probability of interest where the bounds are generated from an established method of decomposing the capacity state space.

scholarly journals Experimental and numerical effects of flow hydraulics and pipe geometry on leakage behavior of laboratory water network distribution systems

2020 ◽  
Author(s):  
Tamer Nabil ◽  
Fahad Alhaddad ◽  
Mohamed Dawood ◽  
Osama Sharaf
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Distribution Network ◽  
Pressure Sensors ◽  
Water Distribution Network ◽  
Laboratory Model ◽  
Leakage Flow ◽  
Network System ◽  
Flow Rates ◽  
Laboratory Water

Abstract. As the leakage behavior of water distribution network is considered life-threatening and critical issue, so the behavior of water distribution network system is investigated experimentally and numerically under the effect of different positions and flow rates of leakage outlets taking into consideretion the flowhydraulics and pipe geametry. A laboratory model of the real studied water distribution network is constructed. The laboratory water distribution network is horizontal and has 16 loops with total length 30 m and different diameters. The leakage position in the laboratory water distribution network is altered between main, sub-main and branch pipelines with different flow rates. The characteristics of the ideal laboratory water distribution network with no-leakage are studied first. The studied laboratory water distribution network system parameters are solved theoretically using Hardy-Cross method with seven iterations. The studied water distribution network system was simulated using computational fluid dynamics technique Ansys Fluent 18.2. The aim is to modify the ancient water distribution network by sensing the pressure values using dispersed pressure sensors. Also, from the pressure map of the laboratory water distribution network, the leakage position if exist can be localized. Depending on the sensed pressure, the control circuit programmed to close the corresponding solenoid valves. The leakage flow rates are 0.1, 0.25 and 0.4 L/s and changed between the main and sub-main pipes. The maximum pressure drop around 500 pa at the node directly preceding the leakage point at leakage flow rate 0.4 L/s. The performance of the used solenoid valve is simulated using Matlab-Simulink technique. The simulation results show the response to step down control signal is over damped with steady state error 2 % and settling time 0.6 s.

scholarly journals Sensitivity of algorithm parameters and objective function scaling in multi-objective optimisation of water distribution systems

2015 ◽  
Vol 17 (6) ◽  
pp. 891-916 ◽  
Author(s):  
Helena Mala-Jetmarova ◽  
Andrew Barton ◽  
Adil Bagirov
Keyword(s):  
Sensitivity Analysis ◽  
Objective Function ◽  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution System ◽  
Parameter Setting ◽  
Nsga Ii ◽  
Multi Objective ◽  
Optimisation Model

This paper presents an extensive analysis of the sensitivity of multi-objective algorithm parameters and objective function scaling tested on a large number of parameter setting combinations for a water distribution system optimisation problem. The optimisation model comprises two operational objectives minimised concurrently, the pump energy costs and deviations of constituent concentrations as a water quality measure. This optimisation model is applied to a regional non-drinking water distribution system, and solved using the optimisation software GANetXL incorporating the NSGA-II linked with the network analysis software EPANet. The sensitivity analysis employs a set of performance metrics, which were designed to capture the overall quality of the computed Pareto fronts. The performance and sensitivity of NSGA-II parameters using those metrics is evaluated. The results demonstrate that NSGA-II is sensitive to different parameter settings, and unlike in the single-objective problems, a range of parameter setting combinations appears to be required to reach a Pareto front of optimal solutions. Additionally, inadequately scaled objective functions cause the NSGA-II bias towards the second objective. Lastly, the methodology for performance and sensitivity analysis may be used for calibration of algorithm parameters.

scholarly journals Pressure Sensors Positioning for Leakages Detection under Uncertain Demands

10.29007/4cg3 ◽  
2018 ◽  
Author(s):  
Valeria Puleo ◽  
Gabriele Freni ◽  
Goffredo La Loggia
Keyword(s):  
Parameter Uncertainty ◽  
Water Distribution ◽  
Sampling Design ◽  
Pressure Sensors ◽  
Water Distribution Network ◽  
Redundant Information ◽  
Pressure Monitoring ◽  
Identifiability Analysis ◽  
Hydraulic Simulation ◽  
Crucial Step

The pressure sensors positioning is a crucial step for leakages detection. The optimal positioning of monitoring sensors, or simply sampling design, has been previously addressed with respect to several purposes. The proposed methodology aims to select the pressure monitoring nodes for leakages detection by coupling the water distribution network hydraulic simulation model with the identifiability analysis. The nodes selection is done among those which are more sensitive with respect to different leakages positions and uncorrelated from each other to avoid redundant information. The parameter uncertainty effect on the results is also investigated. The method is applied to the benchmark network Apulian.

scholarly journals Pressure Sensor Placement for Leak Localization in Water Distribution Networks Using Information Theory

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 443
Author(s):  
Ildeberto Santos-Ruiz ◽  
Francisco-Ronay López-Estrada ◽  
Vicenç Puig ◽  
Guillermo Valencia-Palomo ◽  
Héctor-Ricardo Hernández
Keyword(s):  
Information Theory ◽  
Pressure Sensor ◽  
Water Distribution ◽  
Sensor Placement ◽  
Computational Cost ◽  
Pressure Sensors ◽  
Distribution Networks ◽  
Sensor Nodes ◽  
Water Distribution Networks ◽  
Software Application

This paper presents a method for optimal pressure sensor placement in water distribution networks using information theory. The criterion for selecting the network nodes where to place the pressure sensors was that they provide the most useful information for locating leaks in the network. Considering that the node pressures measured by the sensors can be correlated (mutual information), a subset of sensor nodes in the network was chosen. The relevance of information was maximized, and information redundancy was minimized simultaneously. The selection of the nodes where to place the sensors was performed on datasets of pressure changes caused by multiple leak scenarios, which were synthetically generated by simulation using the EPANET software application. In order to select the optimal subset of nodes, the candidate nodes were ranked using a heuristic algorithm with quadratic computational cost, which made it time-efficient compared to other sensor placement algorithms. The sensor placement algorithm was implemented in MATLAB and tested on the Hanoi network. It was verified by exhaustive analysis that the selected nodes were the best combination to place the sensors and detect leaks.

Preconditioning Water Distribution Network Optimization with Head Loss–Based Design Method

2020 ◽  
Vol 146 (12) ◽  
pp. 04020093 ◽  
Author(s):  
Haixing Liu ◽  
Christine A. Shoemaker ◽  
Yunzhong Jiang ◽  
Guangtao Fu ◽  
Chi Zhang
Keyword(s):  
Network Optimization ◽  
Water Distribution ◽  
Design Method ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Head Loss
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