A robust simulator of pressure-dependent consumption in Python

Modeling of pressure-dependent users’ consumption is mandatory to simulate accurately the hydraulics of water distribution networks (WDNs). Several software solutions already exist for this purpose, but none of them actually permits the easy integration and testing of new physical processes. In this...

Full description

Saved in:
Bibliographic Details
Published in:Journal of hydroinformatics Vol. 26; no. 1; pp. 284 - 303
Main Authors: Chambon, Camille, Piller, Olivier, Mortazavi, Iraj
Format: Journal Article
Language:English
Published: IWA Publishing 01.01.2024
Subjects:
Computer Science
Mathematics
Modeling and Simulation
numerical optimization
pressure-dependent model (pdm)
python programing language
user’s consumption
water distribution network (wdn)
Numerical optimization
Pressure-dependent model
Python
Water distribution network
ISSN:1464-7141, 1465-1734
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Modeling of pressure-dependent users’ consumption is mandatory to simulate accurately the hydraulics of water distribution networks (WDNs). Several software solutions already exist for this purpose, but none of them actually permits the easy integration and testing of new physical processes. In this paper, we propose a new Python simulator that implements a state-of-the-art pressure-dependent model (PDM) of users’ consumptions based on the Wagner’s pressure–outflow relationship (POR). We tested our simulator on eight large and complex WDNs, for different levels of users’ demands. The results show similar precision and efficiency to the ones obtained by the authors of the original model with their MATLAB implementation. Moreover, in case of fully satisfied users’ demands, our simulator provides the same results as EPANET 2.0 in comparable computational times. Finally, our simulator is integrated into the open-source, collaborative, multi-platform, and Git versioned Python framework OOPNET (Object-Oriented Python framework for water distribution NETworks analyses); thus, it can be easily reused and/or extended by a large community of WDN modelers. All this work represents a preliminary step before the incorporation of new processes such as valves, pumps, and pressure-dependent background leakage outflows.
ISSN:1464-7141
1465-1734
DOI:10.2166/hydro.2023.218