Estimation of the benefits yielded by pressure management in water distribution systems

Gomes, Ricardo; Marques, Alfeu Sá; Sousa, Joaquim

doi:10.1080/1573062x.2010.542820

Cited by 68 publications

(62 citation statements)

References 13 publications

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“…En la definición de los sectores hidráulicos intervienen múltiples variables (Alegre et al, 2006), y según el motivo por el que se sectorice, o criterio que se adopte para sectorizar, la delimitación de los mismos puede ser muy diferente. Un número elevado de las experiencias reportadas busca diseños que posibiliten una mejor gestión de las presiones en la red (Awad, Kapelan, Savic, & Emerson, 2010;Gomes, Marques, & Sousa, 2011), mientras que otros persiguen un mayor control de las pérdidas de agua (Fontana, Giugni, & Portolano, 2012). Algunos planteamientos, como el de Messac y Mattson (2004) o Galdiero, De Paola, Fontana, Giugni y Savic (2016), emplean metodologías multiobjetivo.…”

Section: Introductionunclassified

Metodología para caracterizar la eficiencia de una red de distribución sectorizada

Gómez-Martínez

Cubillo-González

Martín-Carrasco

2017

Tecnol. cienc. agua

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ResumenGómez-Martínez, P., Cubillo-González, F., & Martín-Carrasco, F. J. (julio-agosto, 2017). Metodología para caracterizar la eficiencia de una red de distribución sectorizada. Tecnología y Ciencias del Agua, 8(4), 57-77.Mejorar la eficiencia en las redes de distribución de agua potable, garantizando un nivel de servicio predefinido, es uno de los objetivos principales para los operadores del abastecimiento. Con el fin de mejorar la gestión y el control de las redes existentes se ha ido extendiendo la sectorización, que divide la red en zonas monitorizadas y aisladas mediante válvulas frontera. Ante la diversidad de criterios para el diseño de los sectores, se plantea una metodología de valoración de redes sectorizadas, que permite seleccionar la configuración de sector más eficiente en términos de vulnerabilidad del servicio y costes (también entendido como costos) asociados. La vulnerabilidad se evalúa con una función multiobjetivo con base en tres de los principales objetivos vinculados con el servicio que se persiguen con la sectorización: continuidad del servicio, calidad del agua y cumplimiento de un régimen de presiones adecuado. Se definen una serie de indicadores de cuantificación de estos objetivos, que son normalizados y combinados con referencia a la red de estudio. Para valorar la eficiencia de cada solución, se analizan los indicadores junto con los costes de implantación e instrumentación, energéticos, de operación y mantenimiento para cada alternativa mediante un análisis de Pareto. El análisis de vulnerabilidad permite identificar los sectores donde priorizar las actuaciones en redes existentes; el análisis de eficiencia permite seleccionar la mejor opción entre las distintas alternativas y el diseño de nuevos ámbitos de una red sectorizada. La metodología se ha aplicado en 494 sectores de la red Canal de Isabel II, en Madrid, España.Palabras clave: red de distribución sectorizada, indicadores, eficiencia, vulnerabilidad del servicio, DMA, nivel de servicio. Gómez-Martínez, P., Cubillo-González, F., & Martín-Carrasco, F.J. (July-August, 2017

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Section: Introductionunclassified

Metodología para caracterizar la eficiencia de una red de distribución sectorizada

Gómez-Martínez

Cubillo-González

Martín-Carrasco

2017

Tecnol. cienc. agua

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“…In the considered case study, this was not an issue because the pressure was controlled at the treatment facility which had a permanent and failsafe power supply and communication infrastructure. Girard and Stewart (2007) and Gomes et al (2011) showed that a reduction in the pressure in a water supply area also leads to a reduction in the number of main breaks and service breaks. Based on the lower pressure in the area when controlled by the DPCM, a lower number of breaks may be expected in this case study as well.…”

Section: Static and Flow Modulated Prvs Versus The Dpcmmentioning

confidence: 99%

“…According to Gomes et al (2011), the pressure component β varies between 0.5 (for leaks with a fixed leaking area, which is the case for steel pipes or other rigid pipes) and 2.5 (for leaks with a leaking area which is highly sensitive for pressure fluctuations, which is the case for HDPE pipes or other flexible pipes). Gomes et al (2011) use a value of 1.0, but Ulanicki et al (2000) use a value of 1.5 for background leakages. As proposed by May (1994) and adapted by Araujo et al…”

Section: Influence Of Pressure Controlmentioning

confidence: 99%

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Advanced control of a water supply system: a case study

Bakker

Rajewicz²,

Kien

et al. 2014

Water Practice and Technology

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Conventional automatic production flow control and pump pressure control of water supply systems are robust and simple: production flow is controlled based on the level in the clear water reservoir and pump pressure is controlled on a static set-point. Recently, more advanced computerbased control methods were developed in which production flow is controlled by using a shortterm water demand forecasting model and pressure is controlled by a dynamic pressure control module. To assess the differences between conventional and advanced control, we examined operational data of water treatment plant (WTP) Gruszczyn that supplies drinking water to a part of the city of Poznań, Poland. We compared two periods of three weeks of conventional and advanced control. The comparison showed that with advanced control the variation in the production flow was 83% lower, and the pump pressure of the clear water pumps was 29% lower.The lower pressure resulted in 20% less background leakage and the overall system's energy costs were 11.5% lower.

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“…Simulated annealing is a randomized search method [59] that is known to quickly find good solutions, even in extended search spaces. This method has been used to solve different problems from the water supply field, as documented in the literature: least cost design of WDN [60], robust design of WDN [61,62], optimal operation of WDN [63], optimal design and operation of WDN [55,64], pressure management in WDN [65], District Metered Areas design [66], and optimization of reservoir operation [67,68].…”

Section: Simulated Annealing Algorithmmentioning

confidence: 99%

Locating Leaks with TrustRank Algorithm Support

Ribeiro

Sousa

Marques

et al. 2015

Water

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This paper presents a methodology to quantify and to locate leaks. The original contribution is the use of a tool based on the TrustRank algorithm for the selection of nodes for pressure monitoring. The results from these methodologies presented here are: (I) A sensitivity analysis of the number of pressure transducers on the quality of the final solution; (II) A reduction of the number of pipes to be inspected; and (III) A focus on the problematic pipes which allows a better office planning of the inspection works to perform atthe field. To obtain these results, a methodology for the identification of probable leaky pipes and an estimate of their leakage flows is also presented. The potential of the methodology is illustrated with several case studies, considering different levels of water losses and different sets of pressure monitoring nodes. The results are discussed and the solutions obtained show the benefits of the developed methodologies.

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Estimation of the benefits yielded by pressure management in water distribution systems

Cited by 68 publications

References 13 publications

Metodología para caracterizar la eficiencia de una red de distribución sectorizada

Metodología para caracterizar la eficiencia de una red de distribución sectorizada

Advanced control of a water supply system: a case study

Locating Leaks with TrustRank Algorithm Support

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