A genetic algorithm for demand pattern and leakage estimation in a water distribution network

Abstract

Research Article| June 25 2014 A genetic algorithm for demand pattern and leakage estimation in a water distribution network Armando Di Nardo; Armando Di Nardo 1Department of Civil Engineering, Design, Building and Environment, Second University of Naples, via Roma, 29, 81031 Aversa (CE), Italy Search for other works by this author on: This Site PubMed Google Scholar Michele Di Natale; Michele Di Natale 1Department of Civil Engineering, Design, Building and Environment, Second University of Naples, via Roma, 29, 81031 Aversa (CE), Italy Search for other works by this author on: This Site PubMed Google Scholar Corrado Gisonni; Corrado Gisonni 1Department of Civil Engineering, Design, Building and Environment, Second University of Naples, via Roma, 29, 81031 Aversa (CE), Italy Search for other works by this author on: This Site PubMed Google Scholar Michele Iervolino Michele Iervolino 1Department of Civil Engineering, Design, Building and Environment, Second University of Naples, via Roma, 29, 81031 Aversa (CE), Italy E-mail: michele.iervolino@unina2.it Search for other works by this author on: This Site PubMed Google Scholar Journal of Water Supply: Research and Technology-Aqua (2015) 64 (1): 35–46. https://doi.org/10.2166/aqua.2014.004 Article history Received: January 09 2014 Accepted: May 21 2014 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Cite Icon Cite Permissions Search Site Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThis Journal Search Advanced Search Citation Armando Di Nardo, Michele Di Natale, Corrado Gisonni, Michele Iervolino; A genetic algorithm for demand pattern and leakage estimation in a water distribution network. Journal of Water Supply: Research and Technology-Aqua 1 February 2015; 64 (1): 35–46. doi: https://doi.org/10.2166/aqua.2014.004 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex The sustainable management of water supply networks requires the control of physical pipe leakages, such as those due to junction obsolescence or pipe creeping. These leakages usually increase with the operating pressure, and their discharge is commonly assumed to scale with the power of the pressure. The same functional form is also employed to evaluate leakage occurring in the portion of the network downstream a node. The parameters involved in these relationships may be estimated from field experimental data. However, a sensible fluctuation in their values is observed, and therefore the definition of a suitable leakage law represents a major source of uncertainty in water network modeling. In the present paper, the estimation of the leakage law parameters is carried out simultaneously to the hourly demand pattern. To this aim, a hydraulic network model coupled to a genetic algorithm is employed to minimize the deviation between predicted and measured time series of pressure and flow at a small number of sites of the network. A field test case is analyzed to show the effectiveness of the proposed procedure. demand models, genetic algorithms, leakages, optimization, water distribution networks © IWA Publishing 2015 You do not currently have access to this content.