BBLAWN: a Combined Use of Best Management Practices and an Optimization Model Based on a Pseudo-Genetic Algorithm

Iglesias-Rey, PL; Martinez-Solano, FJ; Melia, DM; Martinez-Solano, PD

Keywords: optimization, genetic algorithms, Background Leakage, Pressure Reducing Valves

Abstract

The paper presents a solution to the problem of the Battle of Background Leakage Assessment for Water Networks (BBLAWN) using a methodology that combines the use of Best Management Practices (BMPs) and an optimization model based on a Pseudo-Genetic Algorithm (PGA) as described in [1]. In a first stage, an analysis of marginal costs of pipes whose replacement would be potentially recommended was performed. Next, a network topological analysis to study the pipes that could potentially be closed in order to facilitate pressure control was done. Furthermore, a methodology for studying branched areas was also developed, determining possible location for pressure reducing valves (PRV). A significant reduction in the number of decision variables was obtained and a specific optimization model was developed. (C) 2014 The Authors. Published by Elsevier Ltd.

Más información

Título según WOS: BBLAWN: a Combined Use of Best Management Practices and an Optimization Model Based on a Pseudo-Genetic Algorithm
Título según SCOPUS: BBLAWN: A combined use of best management practices and an optimization model based on a pseudo-genetic algorithm
Título de la Revista: EUROMEMBRANE CONFERENCE 2012
Volumen: 89
Editorial: ELSEVIER SCIENCE BV
Fecha de publicación: 2014
Página de inicio: 29
Página final: 36
Idioma: English
DOI:

10.1016/j.proeng.2014.11.156

Notas: ISI, SCOPUS