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Experimental Characterization of an Adaptive Supersonic Micro Turbine for Waste Heat Recovery Applications

Author

Listed:
  • Tobias Popp

    (Chair of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, 95440 Bayreuth, Germany)

  • Andreas P. Weiß

    (Center of Excellence for Cogeneration Technologies, Technical University of Applied Sciences Amberg-Weiden, 92224 Amberg, Germany)

  • Florian Heberle

    (Chair of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, 95440 Bayreuth, Germany)

  • Julia Winkler

    (DEPRAG SCHULZ GMBH u. CO., 92224 Amberg, Germany)

  • Rüdiger Scharf

    (DEPRAG SCHULZ GMBH u. CO., 92224 Amberg, Germany)

  • Theresa Weith

    (Chair of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, 95440 Bayreuth, Germany)

  • Dieter Brüggemann

    (Chair of Engineering Thermodynamics and Transport Processes (LTTT), Center of Energy Technology (ZET), University of Bayreuth, 95440 Bayreuth, Germany)

Abstract

Micro turbines (<100 kW el ) are commercially used as expansion machines in waste heat recovery (WHR) systems such as organic Rankine cycles (ORCs). These highly loaded turbines are generally designed for a specific parameter set, and their isentropic expansion efficiency significantly deteriorates when the mass flow rate of the WHR system deviates from the design point. However, in numerous industry processes that are potentially interesting for the implementation of a WHR process, the temperature, mass flow rate or both can fluctuate significantly, resulting in fluctuations in the WHR system as well. In such circumstances, the inlet pressure of the ORC turbine, and therefore the reversible cycle efficiency must be significantly reduced during these fluctuations. In this context, the authors developed an adaptive supersonic micro turbine for WHR applications. The variable geometry of the turbine nozzles enables an adjustment of the swallowing capacity in respect of the available mass flow rate in order to keep the upper cycle pressure constant. In this paper, an experimental test series of a WHR ORC test rig equipped with the developed adaptive supersonic micro turbine is analysed. The adaptive turbine is characterized concerning its off-design performance and the results are compared to a reference turbine with fixed geometry. To create a fair data basis for this comparison, a digital twin of the plant based on experimental data was built. In addition to the characterization of the turbine itself, the influence of the improved pressure ratio on the energy conversion chain of the entire ORC is analysed.

Suggested Citation

  • Tobias Popp & Andreas P. Weiß & Florian Heberle & Julia Winkler & Rüdiger Scharf & Theresa Weith & Dieter Brüggemann, 2021. "Experimental Characterization of an Adaptive Supersonic Micro Turbine for Waste Heat Recovery Applications," Energies, MDPI, vol. 15(1), pages 1-20, December.
    • Handle: RePEc:gam:jeners:v:15:y:2021:i:1:p:25-:d:707723
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    References listed on IDEAS

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    1. Pantaleo, Antonio M. & Fordham, Julia & Oyewunmi, Oyeniyi A. & De Palma, Pietro & Markides, Christos N., 2018. "Integrating cogeneration and intermittent waste-heat recovery in food processing: Microturbines vs. ORC systems in the coffee roasting industry," Applied Energy, Elsevier, vol. 225(C), pages 782-796.
    2. Pili, R. & García Martínez, L. & Wieland, C. & Spliethoff, H., 2020. "Techno-economic potential of waste heat recovery from German energy-intensive industry with Organic Rankine Cycle technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    3. Jiménez-Arreola, Manuel & Pili, Roberto & Wieland, Christoph & Romagnoli, Alessandro, 2018. "Analysis and comparison of dynamic behavior of heat exchangers for direct evaporation in ORC waste heat recovery applications from fluctuating sources," Applied Energy, Elsevier, vol. 216(C), pages 724-740.
    4. Nardin, Gioacchino & Meneghetti, Antonella & Dal Magro, Fabio & Benedetti, Nicole, 2014. "PCM-based energy recovery from electric arc furnaces," Applied Energy, Elsevier, vol. 136(C), pages 947-955.
    5. Steven Lecompte & Oyeniyi A. Oyewunmi & Christos N. Markides & Marija Lazova & Alihan Kaya & Martijn Van den Broek & Michel De Paepe, 2017. "Case Study of an Organic Rankine Cycle (ORC) for Waste Heat Recovery from an Electric Arc Furnace (EAF)," Energies, MDPI, vol. 10(5), pages 1-16, May.
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    Cited by:

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    3. Enhua Wang & Ningjian Peng, 2023. "A Review on the Preliminary Design of Axial and Radial Turbines for Small-Scale Organic Rankine Cycle," Energies, MDPI, vol. 16(8), pages 1-20, April.

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