Modeling of two sub-reach water systems: application to navigation canals in the North of France

Pau Segovia, Klaudia Horvàth, Lala Rajaoarisoa, Fatiha Nejjari, Vicenç Puig, Eric Duviella

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

82 Downloads (Pure)

Abstract

Inland navigation networks are large-scale systems that can be described by using the nonlinear Saint-Venant partial differential equations. However, as there is no analytical solution for them, simplified models are used instead for modeling purposes. This work addresses the modeling of two sub-reach systems by means of the well-known Integrator Delay Zero model. Two main scenarios are considered: in the first one, the two partial models are independently computed one from each other; the second one uses previous knowledge of the whole two sub-reach system in order to ensure the flow consistency along the system. The application of these two methodologies to a part of the navigation network in the north of France serves as the case study for this work.

Original languageEnglish
Title of host publicationICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics
Place of Publications.l.
PublisherSciTePress Digital Library
Pages459-467
Number of pages9
ISBN (Electronic)9789897582639
Publication statusPublished - 1 Jan 2017
Event14th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2017) - Madrid, Spain
Duration: 26 Jul 201728 Jul 2017
Conference number: 14

Conference

Conference14th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2017)
Abbreviated titleICINCO 2017
Country/TerritorySpain
CityMadrid
Period26/07/1728/07/17

Keywords

  • IDZ models
  • Large-scale systems
  • Modeling
  • Saint-venant equations
  • Water systems

Fingerprint

Dive into the research topics of 'Modeling of two sub-reach water systems: application to navigation canals in the North of France'. Together they form a unique fingerprint.

Cite this