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Optimal design for the free-stream water wheel: A two-dimensional study

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  • Cleynen, Olivier
  • Engel, Sebastian
  • Hoerner, Stefan
  • Thévenin, Dominique

Abstract

Free-stream water wheels running on floating river installations may contribute to hydropower production as part of a decentralized network meeting the highest ecological standards. While such devices are certainly not novel, their dynamics are complex and a need exists for an optimization of their power-producing characteristics. In this work, a parametrized two-dimensional computational fluid dynamics simulation is coupled to a genetic optimizer seeking to maximize the generated shaft power within a large domain of design parameters. Two objectives are pursued simultaneously: maximize the hydraulic efficiency, and maximize the power density of the device. After nearly 2000 individuals are evaluated, a Pareto front is identified; a family of designs is created to cover the trade-off between the two objectives. The results indicate that compared to operators constrained by the flow-exposed area, operators constrained by the rotor size would trade a 40% reduction in hydraulic performance in order to gain a 50% increase in power per unit rotor area. This optimization of the free-stream water wheel, the first in published literature to our knowledge, allows for the quantification of this trade-off and the publication of broadly-applicable design guidelines for the corresponding optimal blade geometry, number of blades, radius, and depth.

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  • Cleynen, Olivier & Engel, Sebastian & Hoerner, Stefan & Thévenin, Dominique, 2021. "Optimal design for the free-stream water wheel: A two-dimensional study," Energy, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:energy:v:214:y:2021:i:c:s0360544220319873
    DOI: 10.1016/j.energy.2020.118880
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    References listed on IDEAS

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    1. Abhishekkumar Shingala & Olivier Cleynen & Aman Jain & Stefan Hoerner & Dominique Thévenin, 2022. "Genetic Optimisation of a Free-Stream Water Wheel Using 2D Computational Fluid Dynamics Simulations Points towards Design with Fully Immersed Blades," Energies, MDPI, vol. 15(10), pages 1-20, May.

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