Application of Linear Programming in the Efficient Management of Water Resources for Urban Supply | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Method Article Application of Linear Programming in the Efficient Management of Water Resources for Urban Supply Anastácio Pascoal Epandi Canhanga, Paulo Baptista Oliveira, Meysam Hasan Nezhad, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9628394/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This work presents an application of Mixed-Integer Linear Programming (MILP) in the efficient management of water resources for urban supply. Based on the analysis of recent studies, the model by Korotaj and Vašak was selected, which addresses the predictive control of water distribution systems through sequential linear programming. The study was adapted and formulated as a linear optimization problem with binary variables representing pump activation decisions and continuous variables for flow rates, tank levels, and losses. The implementation was carried out in the GAMS environment using fictitious data to simulate operational conditions of a simplified system composed of one tank and two pumps in parallel. The objective was to minimize the total cost, considering time-varying electricity tariffs and costs associated with water losses. The results showed that the model found operational strategies that prioritize the use of stored volume, activating pumps only when necessary, ensuring adequate tank levels, and minimizing operational costs. Applied Mathematics Mixed-Integer Linear Programming Water Resources Optimization Urban Water Supply Mathematical Modeling Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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