Simulating Fish Motion through a Diagonal Reversible Turbine

Author:

Koukouvinis Phoevos (Foivos),Anagnostopoulos John

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.

Funder

European Union

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference33 articles.

1. (2022, November 24). BP, p.l.c.bp Statistical Review of World Energy. Available online: https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2022-full-report.pdf.

2. IRENA (2022). Renewable Energy Statistics 2022, International Renewable Energy Agency.

3. Shifts in hydropower operation to balance wind and solar will modify effects on aquatic biota;Jager;Water Biol. Secur.,2022

4. International Energy Agency (2021). How Rapidly Will the Global Electricity Storage Market Grow by 2026?, International Energy Agency.

5. Killingtveit, Å. (2020). 15—Hydroelectric Power, Elsevier Ltd.

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