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Efficiency based optimization of a Tesla turbine

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  • Rusin, K.
  • Wróblewski, W.
  • Rulik, S.

Abstract

Tesla turbine is a bladeless, radial turbine which might be suitable for the applications in various energy systems, e.g. in Organic Rankine Cycle or combined heat and power systems if its efficiency improves. The investigations presented in the paper concern efficiency based numerical optimization of a Tesla turbine. Parameters subjected to the optimization process are inlet nozzle height, inter-disc gap, nozzle angle, pressure and rotational velocity. The optimization was conducted using response surface methodology. The first stage of the optimization excluded pressure ratio as neutral to efficiency. The second stage of the optimization allowed determination of the most important parameters: tangential velocity ratio, partial admission coefficient, reaction degree and aspect ratio required for maximization of the turbine's efficiency. Efficiency was improved almost twice with the respect to the nominal model (from 9% to 17%) and validated experimentally. Performance characteristics of the optimized turbine model were calculated using computational fluid dynamics software.

Suggested Citation

  • Rusin, K. & Wróblewski, W. & Rulik, S., 2021. "Efficiency based optimization of a Tesla turbine," Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221016960
    DOI: 10.1016/j.energy.2021.121448
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    References listed on IDEAS

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    1. Ciappi, L. & Fiaschi, D. & Niknam, P.H. & Talluri, L., 2019. "Computational investigation of the flow inside a Tesla turbine rotor," Energy, Elsevier, vol. 173(C), pages 207-217.
    2. P. Sebastiani & H. P. Wynn, 2000. "Maximum entropy sampling and optimal Bayesian experimental design," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(1), pages 145-157.
    3. Fiaschi, Daniele & Manfrida, Giampaolo & Maraschiello, Francesco, 2015. "Design and performance prediction of radial ORC turboexpanders," Applied Energy, Elsevier, vol. 138(C), pages 517-532.
    4. Weiß, Andreas P. & Novotný, Václav & Popp, Tobias & Streit, Philipp & Špale, Jan & Zinn, Gerd & Kolovratník, Michal, 2020. "Customized ORC micro turbo-expanders - From 1D design to modular construction kit and prospects of additive manufacturing," Energy, Elsevier, vol. 209(C).
    5. Moradi, Ramin & Habib, Emanuele & Bocci, Enrico & Cioccolanti, Luca, 2020. "Investigation on the use of a novel regenerative flow turbine in a micro-scale Organic Rankine Cycle unit," Energy, Elsevier, vol. 210(C).
    6. Wenjiao Qi & Qinghua Deng & Zhinan Chi & Lehao Hu & Qi Yuan & Zhenping Feng, 2019. "Influence of Disc Tip Geometry on the Aerodynamic Performance and Flow Characteristics of Multichannel Tesla Turbines," Energies, MDPI, vol. 12(3), pages 1-23, February.
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    Cited by:

    1. Singer, Gerald & Köll, Rebekka & Aichhorn, Lukas & Pertl, Patrick & Trattner, Alexander, 2023. "Utilizing hydrogen pressure energy by expansion machines – PEM fuel cells in mobile and other potential applications," Applied Energy, Elsevier, vol. 343(C).

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