An Overview of the Transient Simulation in Water Distribution Networks (TSNet)

Xing, Lu; Sela, Lina

doi:10.1061/9780784482971.028

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…Additionally, the model does not require user input and is stable with no numerical instabilities. These results also agree with Bentley Hammer software's findings and the recent software package developed by Texas University (TSNet) [9,10]. Figure 4 illustrates WANDA's verification, which was conducted by comparing Python developed code and the experimental data retrieved from the hydraulic experiment performed.…”

Section: Weighted Average Comparisonsupporting

confidence: 81%

“…Out of the 21 software, three were only able to perform water hammer calculations based on the unsteady friction model. The Bentley Hammer, Hytran and TSNet Python package software used the Vítkovský friction model to analyze unsteady friction [8][9][10]. In contrast, WANDA, which is a software developed by Deltares Consultancy in the Netherlands, still uses quasisteady friction for hydraulic transient simulations and hydraulic system designs.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Unsteady Friction Models Used in Engineering Software for Water Hammer Analysis: Implementation Case in WANDA

Abdeldayem

Ferràs

Zwan

et al. 2021

Water

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Transient events are frequent in water distribution systems. However, until now, most of the applications based on transient analyses are merely theoretical. Additionally, their implementation to real engineering problems is limited due to several physical phenomena accompanying transient waves, which are not accounted for in the classic approach, such as unsteady friction. This study investigates different unsteady friction models’ performance in terms of accuracy, efficiency, and reliability to determine the most-suited engineering practice. As a result of this comparison, Vítkovský’s unsteady friction model was found to be the best fit and was then implemented in WANDA commercial software. The implementation was verified with experimental data based on a reservoir–pipe–valve system. The model proved excellent performance; however, it was noticed that it fell short in simulating plastic pipes, where viscoelastic effects dominate. The upgraded software was then tested on different hydraulic networks with varying pipe materials and configurations. The model provided significant improvement to water hammer simulations with respect to wave shape, damping, and timing.

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Section: Weighted Average Comparisonsupporting

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Analysis of Unsteady Friction Models Used in Engineering Software for Water Hammer Analysis: Implementation Case in WANDA

Abdeldayem

Ferràs

Zwan

et al. 2021

Water

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“…To evaluate the water network reaction to a specific leak scenario, a transient model is required. Here, we used TSnet version 0.1.2 written in Python [18]. Since the data are not dependent on external measurements, we were able to model leaks in a range of leak diameters, demand configurations, and leak locations in the network.…”

Section: Methodsmentioning

confidence: 99%

Water Leak Localization Using High-Resolution Pressure Sensors

Levinas¹,

Perelman²,

Ostfeld³

2021

Water

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A new method for identifying a leaking pipe within a pressurized water distribution system is presented. This novel approach utilizes transient modeling to analyze water networks. Urban water supply networks are important infrastructure that ensures the daily water consumption of urban residents and industrial sites. The aging and deterioration of drinking water mains is the cause of frequent burst pipes, thus making the detection and localization of these bursts a top priority for water distribution companies. Here we describe a novel method based on transient modeling of the water network and produces high-resolution pressure response under various scenarios. Analyzing this data allows the prediction of the leaking pipe. The transient pressure data is classified as leaking pipes or no leak clusters using the K-nearest neighbors (K-NN) algorithm. The transient model requires a massive computation effort to simulate the network’s performance. The classification model presented good performance with an overall accuracy of 0.9 for the basic scenarios. The lowest accuracy was obtained for interpolated scenarios the model had not been trained on; in this case, the accuracy was 0.52.

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Stress-testing water distribution networks for cyber-physical attacks on water quality

Nikolopoulos

Makropoulos

2021

Urban Water Journal

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An Overview of the Transient Simulation in Water Distribution Networks (TSNet)

Cited by 3 publications

References 14 publications

Analysis of Unsteady Friction Models Used in Engineering Software for Water Hammer Analysis: Implementation Case in WANDA

Analysis of Unsteady Friction Models Used in Engineering Software for Water Hammer Analysis: Implementation Case in WANDA

Water Leak Localization Using High-Resolution Pressure Sensors

Stress-testing water distribution networks for cyber-physical attacks on water quality

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