Pipe roughness calibration approach for water distribution network models using a nonlinear state observer

This paper introduces an online approach based on a nonlinear state observer (NSO) to calibrate the roughness of each pipe within a water distribution network (WDN) or a sector thereof. The NSO is designed to obtain the estimations of pipes' friction factors, which are then used to estimate the roughness. The core of the NSO is a dynamic WDN model formulated through a structured set of ordinary differential equations derived from fundamental physical principles and taking advantage of both graph theory and rigid water column theory. By applying a coordinate transformation, the WDN model is represented as a fully connected network of damped nonlinear oscillators, with each oscillator formulated as a Liénard system. This representation allows for estimating the friction factors for each pipe using only flow rate information. The proposed approach facilitates a continuous calibration when hydrodynamic data are readily accessible, which is a capability that empowers engineers to enhance, concurrently or proactively, the day-to-day operations of water distribution networks, such as control or diagnose tasks, whenever data are available. The results of numerical simulations are presented to illustrate the practical utility of the proposed method. • The representation of a water distribution network as a network of oscillators. • Two nonlinear state observers for estimating the friction factors in water distribution networks. • A calibration method based only in flow rate data.

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Publication Details

Journal
Results in Engineering
Published
2024-08-13
DOI
https://doi.org/10.1016/j.rineng.2024.102713
Citations
3
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.78
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article

Pipe roughness calibration approach for water distribution network models using a nonlinear state observer

Lizeth Torres, Javier Jiménez-Cabas, Jean‐Christophe Ponsart, Martín R. Jiménez-Magaña et al.
3 citations
Results in Engineering
Water Systems and Optimization
0.78
article

Pipe roughness calibration approach for water distribution network models using a nonlinear state observer

Lizeth Torres, Javier Jiménez-Cabas, Jean‐Christophe Ponsart, Martín R. Jiménez-Magaña, Didier Theilliol, J.E.V. Guzmán
article en
3 citations

Abstract

This paper introduces an online approach based on a nonlinear state observer (NSO) to calibrate the roughness of each pipe within a water distribution network (WDN) or a sector thereof. The NSO is designed to obtain the estimations of pipes' friction factors, which are then used to estimate the roughness. The core of the NSO is a dynamic WDN model formulated through a structured set of ordinary differential equations derived from fundamental physical principles and taking advantage of both graph theory and rigid water column theory. By applying a coordinate transformation, the WDN model is represented as a fully connected network of damped nonlinear oscillators, with each oscillator formulated as a Liénard system. This representation allows for estimating the friction factors for each pipe using only flow rate information. The proposed approach facilitates a continuous calibration when hydrodynamic data are readily accessible, which is a capability that empowers engineers to enhance, concurrently or proactively, the day-to-day operations of water distribution networks, such as control or diagnose tasks, whenever data are available. The results of numerical simulations are presented to illustrate the practical utility of the proposed method. • The representation of a water distribution network as a network of oscillators. • Two nonlinear state observers for estimating the friction factors in water distribution networks. • A calibration method based only in flow rate data.

Results in EngineeringVol. 23
Centre National de la Recherche Scientifique (FR), Centre de Recherche en Automatique de Nancy (FR), University of the Coast (CO), Universidad Nacional Autónoma de México (MX), Université de Lorraine (FR)
Clean water and sanitation
Openalex Percentile: Top 31%
Water Systems and Optimization
0.78
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