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A numerical approach for active fish behaviour modelling with a view toward hydropower plant assessment

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  • Powalla, Dennis
  • Hoerner, Stefan
  • Cleynen, Olivier
  • Thévenin, Dominique

Abstract

A numerical approach for assessing the injury risk of fish during turbine passages is introduced. The approach combines computational fluid dynamics (CFD) coupled with the discrete element method (DEM), and extends it with fish behaviour models. The fish behaviour is achieved by an additional force term acting on the particles. Based on ethohydraulic observations three rules of conduct were defined and combined via weighting factors. These rules represent 1) the aim to follow the main flow direction, 2) the instinct of downstream migration, and 3) an avoidance reaction towards moving objects. It is shown that the behavior of the fish surrogates can be actively tuned and adapted. This allows for the expression of both individual and collective behavior with the implementation of instantaneous reactions to the local, unsteady flow conditions in a trade-off with global behavior rules. Therefore, the approach allows for the investigation of a large bandwidth of tasks related to etho- and ecohydraulics and is not limited to the case at hand. In this study, the model is deployed on an example case of a water vortex power plant (WVPP) that allows for the presentation of the general mechanisms and advantages of the method.

Suggested Citation

  • Powalla, Dennis & Hoerner, Stefan & Cleynen, Olivier & Thévenin, Dominique, 2022. "A numerical approach for active fish behaviour modelling with a view toward hydropower plant assessment," Renewable Energy, Elsevier, vol. 188(C), pages 957-966.
    • Handle: RePEc:eee:renene:v:188:y:2022:i:c:p:957-966
    DOI: 10.1016/j.renene.2022.02.064
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    References listed on IDEAS

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    1. Dennis Powalla & Stefan Hoerner & Olivier Cleynen & Nadine Müller & Jürgen Stamm & Dominique Thévenin, 2021. "A Computational Fluid Dynamics Model for a Water Vortex Power Plant as Platform for Etho- and Ecohydraulic Research," Energies, MDPI, vol. 14(3), pages 1-14, January.
    2. Zangiabadi, E. & Masters, I. & Williams, Alison J. & Croft, T.N. & Malki, R. & Edmunds, M. & Mason-Jones, A. & Horsfall, I., 2017. "Computational prediction of pressure change in the vicinity of tidal stream turbines and the consequences for fish survival rate," Renewable Energy, Elsevier, vol. 101(C), pages 1141-1156.
    3. Linda Vikström & Kjell Leonardsson & Johan Leander & Samuel Shry & Olle Calles & Gustav Hellström, 2020. "Validation of Francis–Kaplan Turbine Blade Strike Models for Adult and Juvenile Atlantic Salmon (Salmo Salar, L.) and Anadromous Brown Trout (Salmo Trutta, L.) Passing High Head Turbines," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    4. Klopries, Elena-Maria & Schüttrumpf, Holger, 2020. "Mortality assessment for adult European eels (Anguilla Anguilla) during turbine passage using CFD modelling," Renewable Energy, Elsevier, vol. 147(P1), pages 1481-1490.
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    1. Olivier Cleynen & Dennis Powalla & Stefan Hoerner & Dominique Thévenin, 2022. "An Efficient Method for Computing the Power Potential of Bypass Hydropower Installations," Energies, MDPI, vol. 15(9), pages 1-13, April.
    2. Singh, Rajesh K. & Romero-Gomez, Pedro & Colotelo, Alison H. & Perkins, William A. & Richmond, Marshall C., 2022. "Computational studies of hydraulic stressors for biological performance assessment in a hydropower plant with Kaplan turbine," Renewable Energy, Elsevier, vol. 199(C), pages 768-781.

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