BBLAWN: A combined use of best management practices and an optimization model based on a pseudo-genetic algorithm

[EN] 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.This work was supported by the project DPI2009-13674 (OPERAGUA) of the Dirección General de Investigación y Gestión del Plan Nacional de I + D + I del Ministerio de Ciencia e Innovación, Spain.Iglesias Rey, PL.; Martínez-Solano, FJ.; Mora Melia, D.; Martinez Solano, PD. (2014). BBLAWN: A combined use of best management practices and an optimization model based on a pseudo-genetic algorithm. Procedia Engineering. 89:29-36. doi:10.1016/j.proeng.2014.11.15629368