Next Article in Journal
Early Warning and Forecasting System of Water Quality Safety for Drinking Water Source Areas in Three Gorges Reservoir Area, China
Previous Article in Journal
Assessing the Effects of Climate Change on Water Quantity and Quality in an Urban Watershed Using a Calibrated Stormwater Model
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Water 2017, 9(7), 463; https://doi.org/10.3390/w9070463

Economic and Energy Criteria for District Meter Areas Design of Water Distribution Networks

1
Dipartimento di Ingegneria Civile Design Edilizia e Ambiente, Università degli Studi della Campania “Luigi Vanvitelli”, via Roma 9, Aversa 81031, Italia
2
Action Group CTRL+SWAN of the European Innovation Partnership on Water, 1000, Bruxelles, EU
3
Urban Hydraulics Department, Mexican Institute of Water Technology, Jiutepec 62550, Mexico
*
Author to whom correspondence should be addressed.
Received: 12 May 2017 / Revised: 19 June 2017 / Accepted: 21 June 2017 / Published: 27 June 2017
View Full-Text   |   Download PDF [3168 KB, uploaded 27 June 2017]   |  

Abstract

Water Network Partitioning (WNP) improves water network management, simplifying the computation of water budgets and, consequently, allowing the identification and reduction of water losses. It is achieved by inserting flow meters and gate valves into a network which has been previously clustered into subsystems. Generally, the procedures are subdivided into two main steps: the clustering and partitioning phases. At first, network nodes are assigned to each cluster and then the appropriate pipes are selected, in which flow meters or gate valves are to be inserted. In this paper, an improved multilevel-recursive bisection algorithm was used to achieve network clustering. To better allocate the hydraulic devices, the partitioning phase was carried out through the minimization of a novel, multi-objective function, taking simultaneous account of energy and economic aspects. The aim is to define a solution that occupies a minimum possible number of flow meters, simplifying the water budget computation, preserving the hydraulic performances, and minimizing the capital and the operational costs. The procedure was tested on an extensive and real Mexican network, providing different optimal solutions and a smart Decision Support System (DSS) (based on visual diagrams and innovative energy, robustness, and balancing metrics). View Full-Text
Keywords: district meter areas; economic and energy criteria; multi-objective optimization; topology; water network partitioning district meter areas; economic and energy criteria; multi-objective optimization; topology; water network partitioning
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Di Nardo, A.; Di Natale, M.; Giudicianni, C.; Santonastaso, G.F.; Tzatchkov, V.; Varela, J.M.R. Economic and Energy Criteria for District Meter Areas Design of Water Distribution Networks. Water 2017, 9, 463.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top