Abstract

Paper presents a method of using EPANET solver to support manage water distribution system in Smart City. The main task is to develop the application that allows remote access to the simulation model of the water distribution network developed in the EPANET environment. Application allows to perform both single and cyclic simulations with the specified step of changing the values of the selected process variables. In the paper the architecture of application was shown. The application supports the selection of the best device control algorithm using optimization methods. Optimization procedures are possible with following methods: brute force, SLSQP (Sequential Least SQuares Programming), Modified Powell Method. Article was supplemented by example of using developed computer tool.

Highlights

  • Water supply systems are constantly changing and developing

  • At present scientists and practitioners need to be familiar with the latest ICT technologies supporting water distribution systems

  • In recent years there has been a lot of paper taking into account modern "smart water management system" includes smart meters, smart valves, intelligent pumps and analysis models of operating in the smart cities ecosystems [2,3,4,5]

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Summary

Introduction

Water supply systems are constantly changing and developing. From ancient times until now, significant advances have been made in the field of mathematical approaches, hydraulic modelling, optimization and last monitoring. In recent years there has been a lot of paper taking into account modern "smart water management system" includes smart meters, smart valves, intelligent pumps and analysis models of operating in the smart cities ecosystems [2,3,4,5]. Making all these elements work together is a real challenge. There are various aspects and possibilities using smart technologies In this context, it is necessary to continually present the possibilities o f using knowledge and experience with the advanced technologies that can be operated on commonly available PC and mobile devices

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