GIS is becoming an essential tool for utility companies, especially water companies, which have found an excellent way to manage and assess their assets. This paper presents an ArcView extension called AvEPA, which is a customized application oriented to the task of water network modeling. AvEPA is capable of simulating, analyzing and retrieving the actual network status under certain condition...

This paper presents the combination of linear Model Predictive Control (MPC) with Constraint Satisfaction Problem (CSP) for the operational control of drinking water networks. The methodology has been divided into two functional layers: First, a CSP algorithm is used to transfer non-linear pressure equations of drinking water networks (DWNs) into linear constraints, which can enclose feasible s...

A water distribution network (WDN) consists of thousands of nodes with nonlinear hydraulic behaviour, linked by thousands of interconnecting links. The inherent problem associated with cost optimisation in the design of water distribution networks is due to the nonlinear relationship between flow and head loss and availability of the discrete nature of pipe sizes. The importance and huge capita...

Abstract Water distribution networks require huge investment for construction. Involved people, especially researchers, are always seeking to find a way decreasing costs and achieving an efficient design. One of the main factors network design is selection proper diameters based on deficit flow pressure velocity in network. The reduction construction accomplished by minimizing diameter pipes wh...

Abstract EPANET 2.2 is a newly introduced upgraded version of 2 that can be used for both pressure-driven analysis (PDA) and demand-driven (DDA) water distribution networks. Moreover, it has certain limitations concerning the minimum required pressure head parameters PDA, which leads to inaccurate simulation results. Another limitation PDA option its inability simultaneously consider pressure-d...

In the process of water distribution system modeling, nodal demands have been deemed to be most significant input parameters causing uncertainties. Conventionally, users same type are assigned demand pattern, which does not reflect variability in patterns. Hefei City, a lot remote smart meters were installed recent years, providing real-time consumption data for different user sites. this study...