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Computational investigation of partial admission effects on the flow field of a tesla turbine for ORC applications

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  • Pacini, Leonardo
  • Ciappi, Lorenzo
  • Talluri, Lorenzo
  • Fiaschi, Daniele
  • Manfrida, Giampaolo
  • Smolka, Jacek

Abstract

Over recent years, the Tesla turbine gained a renewed interest from the scientific community, as its simple structure guarantees low cost and reliability. These are key aspects of the success of an expander suitable for small-distributed energy systems.

Suggested Citation

  • Pacini, Leonardo & Ciappi, Lorenzo & Talluri, Lorenzo & Fiaschi, Daniele & Manfrida, Giampaolo & Smolka, Jacek, 2020. "Computational investigation of partial admission effects on the flow field of a tesla turbine for ORC applications," Energy, Elsevier, vol. 212(C).
    • Handle: RePEc:eee:energy:v:212:y:2020:i:c:s0360544220317953
    DOI: 10.1016/j.energy.2020.118687
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    References listed on IDEAS

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    Cited by:

    1. Gürgen, Samet & Altın, İsmail, 2022. "Novel decision-making strategy for working fluid selection in Organic Rankine Cycle: A case study for waste heat recovery of a marine diesel engine," Energy, Elsevier, vol. 252(C).
    2. Wang, Hanwei & Luo, Kai & Huang, Chuang & Zou, Aihong & Li, Daijin & Qin, Kan, 2022. "Numerical investigation of partial admission losses in radial inflow turbines," Energy, Elsevier, vol. 239(PA).
    3. Thomazoni, André Luis Ribeiro & Ermel, Conrado & Schneider, Paulo Smith & Vieira, Lara Werncke & Hunt, Julian David & Ferreira, Sandro Barros & Rech, Charles & Gouvêa, Vinicius Santorum, 2022. "Influence of operational parameters on the performance of Tesla turbines: Experimental investigation of a small-scale turbine," Energy, Elsevier, vol. 261(PB).

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