Nonlinear Grey-box Identification of Gravity-driven Sewer Networks with the Backwater Effect: An Experimental Study

Krisztian Mark Balla*, Casper Houtved Knudsen, Adis Hodzic, Jan Dimon Bendtsen, Carsten Kallesøe

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)
97 Downloads (Pure)

Abstract

Real-time control of urban drainage networks requires knowledge about stored volumes and flows in order to predict overflows and optimize system operation. However, using flow sensors inside the pipelines means prohibitively high installation and maintenance costs. In this article, we formulate two nonlinear, constrained estimation problems for identifying the open-channel flow in urban drainage networks. To this end, we distribute cost-efficient level sensors along the pipelines and formulate the estimation problems based on the spatially-discretized kinematic and diffusion wave approximations of the full Saint-Venant partial differential equations. To evaluate the capabilities of the two models, the two approaches are compared and evaluated on modeling a typical phenomenon occurring in drainage systems: the backwater effect. An extensive real-world experiment demonstrates the effectiveness of the two approaches in obtaining the model parameters on a scaled water laboratory setup, in the presence of measurement noise.
Original languageEnglish
Title of host publication2021 IEEE Conference on Control Technology and Applications (CCTA)
Number of pages6
Place of PublicationSan Diego
PublisherIEEE
Publication dateAug 2021
Pages1202-1207
Article number9658864
ISBN (Print)978-1-6654-3644-1
ISBN (Electronic)978-1-6654-3643-4
DOIs
Publication statusPublished - Aug 2021
Event2021 IEEE Conference on Control Technology and Applications (CCTA) - San Diego, United States
Duration: 9 Aug 202111 Aug 2021

Conference

Conference2021 IEEE Conference on Control Technology and Applications (CCTA)
Country/TerritoryUnited States
CitySan Diego
Period09/08/202111/08/2021
SeriesIEEE Conference on Control Technology and Applications (CCTA) - Proceedings
ISSN2768-0762

Keywords

  • System Identification
  • backwater effect
  • Urban Drainage
  • Smart Water Infrastructures Laboratory
  • SWIL
  • nonlinear modeling
  • Partial Differential Equation
  • Energy system
  • green lab
  • water infrastructures
  • Sewer
  • Waste Water
  • Disturbance
  • Saint-Venant
  • Kinematic Wave Model
  • Diffusion Wave model
  • Optimization

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