2nd WDSA/CCWI Joint Conference

URI permanente para esta colección

https://riunet7pro.upv.es/handle/10251/205560

The Department of Hydraulic Engineering and Environment of the Universitat Politècnica de València (Valencia Tech) is pleased to invite you to the second edition of the WDSA/CCWI Joint Conference to be held in Valencia (Spain).

This conference will bring together professionals from municipalities, consulting firms, and universities to exchange ideas about the big challenges facing the water industry.

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Mostrando 1 - 5 de 129

Rehabilitation of existing intermittent water supply network under fund constrains using marginal increase in resilience to marginal increase in cost method
(Editorial Universitat Politècnica de València, 2025-01-20) Tiwari, Satyam; Sharma, Aniket; Pandey, Prerna; Dongre, Dr. Shilpa; Gupta, Dr. Rajesh
[EN]The battle of intermittent water supply posed a tough challenge by jointly considering a problem related to analysis, design and operation of water distribution networks (WDNs). A methodology is needed which could summon all the inefficiencies of the existing network on a single platform to achieve the different stated objectives (Indicators) under some technical and financial constraints. The main targets are: (1) reduction in losses by repairing leaks, and/or replacing pipes, (2) to increase consumer satisfaction by meeting the demands at required pressure. A multi-stage methodology is proposed to suggest a solution to the given problem. Initially, demand nodes are clustered to form District Metering Area (DMA) by considering the locations of existing valves using the methodology of Sharma et al. (2022, Accepted for publication). The methodology of Sharma et al. (2022) consists of identification of clusters and their boundaries by considering the location of existing valves. The boundaries optimization is solved using Genetic Algorithm (GA) with customer satisfaction as a constraint to identify permanent boundaries. Out of the several ways of improving the network performance in desired 5-year periods with limited budget in each year, the leak detection and repair, pipe replacement with same or higher size, and valve installation to reduce excess pressure are proposed to be targeted primarily. A fast greedy algorithm, similar to that used by Gupta and Bhave (1996) for design of WDN and Agrawal et al. (2007) for strengthening and expansion of WDN, is proposed to be used. The iterative methodology will start with existing network. Benefits in terms of improvements in both head and outflows at demand nodes due to change in any option will be calculated along with increase in cost for that option. All the options will be considered one by one. Out of several options at any stage few best will be selected. The iterative process of selection for any year will be repeated till the available fund for that year are exhausted. Final solution for the first year will become, initial solution for the next year. Solution for all the five years will be obtained. Finally, the performance of network would be assessed using suggested parameters and the results will be reported. Gupta R. and Bhave P.R. (1996). "Reliability-based design of water distribution systems", Journal of Environmental Engineering, American Society of Civil EngineersAgrawal M. L., Gupta R., and Bhave P. R. (2007). "
Water use in collective student housing
(Editorial Universitat Politècnica de València, 2025-01-17T08:32:34Z) De Jonge, Laura; De Backer, Lien; Van Kenhove, Elisa
[EN] Today, there is limited information available about actual cold and hot water use in collective student housing. Furthermore, equally little is known about how this water use is distributed throughout the day and how it is divided over all end users (e.g. toilet, shower, sink). Although some water use profiles can be found in standards and literature, these profiles are often an overestimate of the buildings water use.The production of hot water accounts for a large proportion of the total energy used in collective student housing. Current installations are often overdimensioned because the hot water use is not correctly estimated. This leads to unjustifiably higher energy use and installation cost. Understanding hot water use is important, not only for better design of domestic hot water systems in the buildings mentioned above, in order to ensure comfort, but also for a more accurate assessment of the health risks of such systems. With an oversized system, there is more stagnation of water, resulting in Legionella problems. Having more correct tap profiles available in the design phase will inevitably lead to better understanding of the dimensioning and temperature distribution of the domestic hot water.In this paper, distribution system analyses and water monitoring has been carried out for six collective student accommodations, inhabited by 1756 students. The measurements show that the average water usage of a student is limited compared to numbers mentioned in standards, namely 40 litres of cold and 20 litres of hot water a day.
Which flow and pressure constraints are required for sustainable operation of Water Distribution Systems?
(Editorial Universitat Politècnica de València, 2024-03-06) Piller, Olivier; Deuerlein, Jochen; Elhay, Sylvan; Simpson, Angus
[EN] Water quantity and quality modelling tools are often used to understand the working and operate properly water distribution systems. In this paper, we discuss how to choose flow and pressure constraints at nodes and links in the distribution network graph for sustainable operation of these systems. Using practical and concrete examples, we show how the problem of choosing the appropriate flow and pressure constraints amounts to verifying that a certain algebraic condition of maximum rank holds (a constraint qualification condition), or equivalently that there is a corresponding spanning tree with unsaturated links and demand nodes. Some situations of non-convergence in the solution path are discussed.
Analysis of PDA-based Water Distribution System Suspension Risk using statistical and machine learning method
(Editorial Universitat Politècnica de València, 2024-03-06) Oh, Yoojin; Park, Haekeum; Hyung, Jinseok; Kim, Taehyeon; Kim, Kibum; Koo, Jayong; Ministry of environment (South Korea)
[EN] Recently, there have been frequent cases of water shortages caused by failure to old water pipes. As water is the most basic resource in life and is an indispensable resource in various fields such as industry and agriculture, the scale of the failure is significant in the event of accidents in the water supply pipe network, and in order to minimize the damage of accidents, it is important to prevent accidents through timely maintenance. At this time, the risk map of the water shortage of the water pipeline needs to be prepared for efficient maintenance, and it needs to be managed first from the high-risk area.To this end, water shortage risk analysis due to pipe failure was performed in this study. Risk analysis is one of the ways in which water pipes are evaluated and decisions on investment plans, such as replacement or repair, can be supported. The risk is generally calculated by multiplying PoF (Probability of failure) with the resulting direct and indirect effects of CoF (Consequence of failure). In this study, PoF was derived as the failure of an individual water pipe was set as the probability of failure caused by corrosion, and in order for it to be predicted, MLP (Multi-layer perceptron) and XGBoot were developed as a data-based machine learning model. In addition, it was analyzed by setting the amount of water (supply shortage) that CoF could not be supplied due to failure, considering that the failure to the water pipe was directly linked to water shortage. In order to analyze the supply shortage at this time, the mathematical analysis of PDA (Pressure driven analysis) was performed.Finally, the developed methodology was applied to the cities of the Republic of Korea, and the risks were analyzed by calculating the PoF and CoF of individual water pipes, and the GIS technique was used to create the risk map.The results of this study can be more accurate in predicting the condition of water pipes, which can be helpful when water utilities establish maintenance plans.
Optimization of reservoir treatment levels considering uncertainty in mixing at cross junctions in water distribution systems using Info-gap decision theory
(Editorial Universitat Politècnica de València, 2024-03-06) Boindala, Sriman Pankaj; Jaykrishnan, G; Ostfeld, Avi
[EN] Water distribution systems are affected by several uncertainties in multiple stages. This uncertainty makes solving the optimal design and management of WDS a multifaceted problem. Past research has focused only on solving design and management problems of system hydraulics. There have been very few studies that involve considering uncertainties that affect the water quality aspect of WDS. One of the major assumptions in solving the design and management problems of WDS is considering uniform and instantaneous mixing at the cross junctions. However, in reality, this is not true. This assumption is made due to the lack of computational power to accurately estimate the level of mixing at every junction in a water distribution network. This study focuses on considering this level of mixing as uncertain/unknown and provides the optimal treatment levels required at the reservoirs to ensure the system is immune to the level of mixing occurring at the junctions to satisfy the water quality requirements at the customer level. Info-gap decision theory-based optimization approach combined with the cuckoo search metaheuristic is proposed in this study to handle the uncertainty. The proposed methodology is applied to a 4x4 grid hypothetical network example. The study's objective is to provide the best designs that can handle the maximum variation of the level of mixing at junctions within the given budget by the designer. The maximum variation of the level of mixing is reported for different budget levels. The designs are compared with the deterministic case using Monte-Carlo simulations.

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