scholarly journals Methodology for Determining the Maximum Potentially Recoverable Energy in Water Distribution Networks

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 464
Author(s):  
Elkin Duván Cubides-Castro ◽  
Carlos S. López-Aburto ◽  
Pedro L. Iglesias-Rey ◽  
F. Javier Martínez-Solano ◽  
Daniel Mora-Meliá ◽  
...  
Keyword(s):  
Water Distribution ◽  
Maximum Flow ◽  
Extended Period ◽  
Distribution Networks ◽  
Excess Pressure ◽  
Water Distribution Networks ◽  
Performance Criteria ◽  
New Energy ◽  
Resilience Index ◽  
Recoverable Energy

The excess pressure available in water distribution networks (WDNs) is a relevant aspect in the management and appropriate handling of water resources. If a WDN meets the minimum performance criteria (minimum pressure and maximum flow), excess pressure can occur throughout the day, which is usually lost. These excesses could be considered as potentially recoverable energy (PRE). One way of taking advantage of this energy is to find the nodes on the network where this excess pressure is evident and try to analyze the possible amount of PRE. This work presents a methodology to determine the maximum PRE in a WDN. This methodology includes the locations of the points where the installation of recovery devices leads to this maximum PRE. The method is based on reducing pressures but maintaining circulating points through the lines. Additionally, a new energy balance that allows visualizing and breaking down in more detail all the energy found in a WDN is proposed. The analysis is carried out in an extended period considering different feeding points either by gravity or pumping. Finally, a network resilience index called the Potentially Recoverable Energy Index (PREI) in WDNs is proposed, with which it is possible to diagnose and determine how much energy could be recovered from the network. Study cases presented demonstrate the effectiveness of the methodology and will allow the development of optimizations in the operation of WDNs in favor of the good management of water and energy resources.

Online statistical hypothesis test for leak detection in water distribution networks

2021 ◽  
Vol 40 (5) ◽  
pp. 8665-8681
Author(s):  
Radhia Fezai ◽  
Majdi Mansouri ◽  
Kamaleldin Abodayeh ◽  
Hazem Nounou ◽  
Mohamed Nounou ◽  
...  
Keyword(s):  
Water Distribution ◽  
Hypothesis Test ◽  
Leak Detection ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Performance Criteria ◽  
Statistical Hypothesis ◽  
Computational Time ◽  
Ratio Test ◽  
Statistical Hypothesis Test

This paper aims at improving the operation of the water distribution networks (WDN) by developing a leak monitoring framework. To do that, an online statistical hypothesis test based on leak detection is proposed. The developed technique, the so-called exponentially weighted online reduced kernel generalized likelihood ratio test (EW-ORKGLRT), is addressed so that the modeling phase is performed using the reduced kernel principal component analysis (KPCA) model, which is capable of dealing with the higher computational cost. Then the computed model is fed to EW-ORKGLRT chart for leak detection purposes. The proposed approach extends the ORKGLRT method to the one that uses exponential weights for the residuals in the moving window. It might be able to further enhance leak detection performance by detecting small and moderate leaks. The developed method’s main advantages are first dealing with the higher required computational time for detecting leaks and then updating the KPCA model according to the dynamic change of the process. The developed method’s performance is evaluated and compared to the conventional techniques using simulated WDN data. The selected performance criteria are the excellent detection rate, false alarm rate, and CPU time.

Pressure dependent stochastic reliability analysis of water distribution networks

2004 ◽  
Vol 4 (3) ◽  
pp. 81-90 ◽  
Author(s):  
M. Tabesh ◽  
T.T. Tanyimboh ◽  
R. Burrows
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
Water Distribution ◽  
Extended Period ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Simulation Based ◽  
Diurnal Profile ◽  
Stochastic Reliability ◽  
Probabilistic Nature

Any reliability analysis based on just deterministic values of daily average or peak demands, cannot represent the overall system reliability realistically. Using a stochastic model in this paper variations of the system and nodal reliability values are investigated through a period of time. Considering probabilistic nature of demands, this paper combines the extended period simulation of water distribution networks with the head driven simulation based reliability analysis that presents the nodal and system reliabilities more realistically than conventional demand driven simulation based analysis. A sample network with possibility of one link failure is examined and diurnal profile of reliability values due to mechanical and hydraulic failures and known probabilities of demands is presented. It is seen that considering the probabilistic nature of demands the severity of mechanical and hydraulic failures on the hydraulic performance of the system are illustrated properly and realistically, especially at the critical times or nodes, in comparison with the deterministic values.

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