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Simulating Fish Motion through a Diagonal Reversible Turbine

Author

Listed:
  • Phoevos (Foivos) Koukouvinis

    (Laboratory of Hydraulic Turbomachines, Department of Mechanical Engineering, National Technical University of Athens, Heroon Polytechniou 9, Zografou, 157 80 Athens, Greece)

  • John Anagnostopoulos

    (Laboratory of Hydraulic Turbomachines, Department of Mechanical Engineering, National Technical University of Athens, Heroon Polytechniou 9, Zografou, 157 80 Athens, Greece)

Abstract

Utilization of unharnessed hydro-power necessitates designing fish-friendly hydraulic machinery. Towards this effort, the present work investigates various methods for tracking fish motion, ranging from particle tracking methods to accurate, but computationally expensive, body tracking methods, such as immersed boundaries and overset meshes. Moreover, a novel uncoupled 6-Degree of Freedom tracking technique is proposed, based on an approximated pressure field around the tracked body of interest, using steady-state flow field data, and including collision detection to walls. The proposed method shows promising results in terms of accuracy, being comparable to the more computationally expensive fully coupled methods at a tiny fraction of the execution time. The new method reveals location of fish–blade impact, as well as statistics of forces, pressure and flow shear that a passing fish is subjected to, both in the normal and reverse operation of the turbine. The low computational cost of the proposed method renders it attractive for optimization studies.

Suggested Citation

  • Phoevos (Foivos) Koukouvinis & John Anagnostopoulos, 2023. "Simulating Fish Motion through a Diagonal Reversible Turbine," Energies, MDPI, vol. 16(2), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:810-:d:1031276
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    References listed on IDEAS

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    1. Fu, Tao & Deng, Zhiqun Daniel & Duncan, Joanne P. & Zhou, Daqing & Carlson, Thomas J. & Johnson, Gary E. & Hou, Hongfei, 2016. "Assessing hydraulic conditions through Francis turbines using an autonomous sensor device," Renewable Energy, Elsevier, vol. 99(C), pages 1244-1252.
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    Cited by:

    1. Phoevos (Foivos) Koukouvinis & John Anagnostopoulos, 2023. "State of the Art in Designing Fish-Friendly Turbines: Concepts and Performance Indicators," Energies, MDPI, vol. 16(6), pages 1-25, March.

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