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

被引:0
|
作者
Torres, L. [1 ]
Jimenez-Cabas, J. [2 ]
Ponsart, J. C. [3 ]
Theilliol, D. [3 ]
Jimenez-Magana, M. R. [4 ]
Guzman, J. E. V. [1 ]
机构
[1] Univ Nacl Autonoma de Mexico, Inst Ingn, Ciudad de Mexico, Mexico
[2] Univ de la Costa, Dept Ciencias Comp & Elect, Barranquilla, Colombia
[3] Univ Lorraine, CNRS, CRAN, UMR 7039, Vandoeuvre Les Nancy, France
[4] Univ Nacl Autonoma de Mexico, FES Aragon, Ciudad de Mexico, Mexico
关键词
Water distribution networks; Nonlinear state observers; Friction factor; Identifying pipe parameters; PSEUDOTRANSIENT CONTINUATION; UNCERTAINTY; DEMAND;
D O I
10.1016/j.rineng.2024.102713
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 Li & eacute;nard 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.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Calibration of water distribution hydraulic models using a Bayesian-Type procedure
    Kapelan, Zoran S.
    Savic, Dragan A.
    Walters, Godfrey A.
    JOURNAL OF HYDRAULIC ENGINEERING, 2007, 133 (08) : 927 - 936
  • [32] Water quality in a pipe distribution network: a case study of a communal water distribution network in Ibadan, Nigeria
    Awopetu, M. S.
    Coker, A. O.
    Aribisala, J. O.
    Awopetu, S. O.
    WATER RESOURCES MANAGEMENT VII, 2013, 171 : 175 - 186
  • [33] A Nonlinear Adaptive State-Observer for Pressurized Water Reactors
    Dong, Zhe
    2016 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS), 2016, : 239 - 243
  • [34] Multiobjective Approach for Water Distribution Network Design Combining Pipe Sizing and Isolation Valve Placement
    Mottahedin, Amirabbas
    Giudicianni, Carlo
    Cunha, Maria C.
    Creaco, Enrico
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2024, 150 (10)
  • [35] Choosing a Water Distribution Pipe Rehabilitation Solution Using the Analytical Network Process Method
    Aschilean, Ioan
    Giurca, Ioan
    WATER, 2018, 10 (04)
  • [36] A state observer approach to filter stochastic nonlinear differential systems
    Cacace, Filippo
    Germani, Alfredo
    Palumbo, Pasquale
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 7917 - 7922
  • [37] A multi-observer approach for the state estimation of nonlinear systems
    Postoyan, Romain
    Hamid, Mohammed H. A.
    Daafouz, Jamal
    2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 1793 - 1798
  • [38] State estimation in batch processes using a nonlinear observer
    Biagiola, Silvina
    Solsona, Jorge
    MATHEMATICAL AND COMPUTER MODELLING, 2006, 44 (11-12) : 1009 - 1024
  • [39] Topology detection of a distribution network based on adaptive state observer
    Xiao, Yong
    Zeng, Yonggang
    Zhao, Yun
    Lu, Yuxin
    Lin, Weibin
    JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2021, 21 (05) : 1375 - 1383
  • [40] CALIBRATING WATER DISTRIBUTION NETWORK MODELS
    BHAVE, PR
    JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE, 1988, 114 (01): : 120 - 136