The Application of Optimization Techniques in Water Distribution Networks

Abstract

This study dives into the application of optimization techniques in Water Distribution Networks (WDN), with a particular focus on Linear Programming (LP). The research explores LP's role in enhancing the efficiency, reliability, and cost-effectiveness of WDN, illustrating its application through the case study of the Trentino Water Distribution Network. Key aspects like system design, operational optimization, and emergency response are discussed, highlighting LP's strengths and limitations, especially for its reliance on linearity and parameter sensitivity. The study also briefly touches upon other methods like Multi-objective Optimization, Machine Learning, and Genetic Algorithms, while suggesting the potential integration of Dynamic Programming to address LP's constraints. This comprehensive analysis aims to offer insights into optimizing WDN for future sustainability and resilience, emphasizing the evolving nature of optimization techniques in response to contemporary challenges.