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A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems

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  • Da Lio, Luca
  • Manente, Giovanni
  • Lazzaretto, Andrea

Abstract

Organic Rankine Cycle (ORC) systems represent an efficient technology for power generation from low-to-medium temperature heat sources. Most of the efforts in the recent literature are addressed to the improvement of turbine design and efficiency by taking advantage of the low enthalpy drops while dealing with the large volume flow ratios across the expansion process and low speed of sound typical of high molecular weight fluids. These peculiar conditions make the choice and the design of an ORC turbine a challenging task, exacerbated by the only few experimental data available in the open literature. The aim of this paper is to obtain the optimum design and corresponding maximum efficiency of single stage radial inflow turbines for different cycle design specifications (i.e., mass flow rate and enthalpy drop) using the real gas properties of refrigerant R245fa. This aim is pursued by means of a mean-line model developed in Matlab® which includes the design and performance analysis procedure suggested by Aungier (2005). Results indicate how different design choices in terms of specific speed and velocity ratio, and different working conditions in terms of expansion ratio and turbine size may affect the efficiency of single stage radial inflow turbines in ORC systems.

Suggested Citation

  • Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2017. "A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems," Applied Energy, Elsevier, vol. 205(C), pages 187-209.
    • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:187-209
    DOI: 10.1016/j.apenergy.2017.07.120
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    References listed on IDEAS

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    1. Fiaschi, Daniele & Manfrida, Giampaolo & Maraschiello, Francesco, 2015. "Design and performance prediction of radial ORC turboexpanders," Applied Energy, Elsevier, vol. 138(C), pages 517-532.
    2. Rahbar, Kiyarash & Mahmoud, Saad & Al-Dadah, Raya K. & Moazami, Nima, 2015. "Parametric analysis and optimization of a small-scale radial turbine for Organic Rankine Cycle," Energy, Elsevier, vol. 83(C), pages 696-711.
    3. Kang, Seok Hun, 2016. "Design and preliminary tests of ORC (organic Rankine cycle) with two-stage radial turbine," Energy, Elsevier, vol. 96(C), pages 142-154.
    4. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2014. "New efficiency charts for the optimum design of axial flow turbines for organic Rankine cycles," Energy, Elsevier, vol. 77(C), pages 447-459.
    5. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2016. "Predicting the optimum design of single stage axial expanders in ORC systems: Is there a single efficiency map for different working fluids?," Applied Energy, Elsevier, vol. 167(C), pages 44-58.
    6. Costall, A.W. & Gonzalez Hernandez, A. & Newton, P.J. & Martinez-Botas, R.F., 2015. "Design methodology for radial turbo expanders in mobile organic Rankine cycle applications," Applied Energy, Elsevier, vol. 157(C), pages 729-743.
    7. Fiaschi, Daniele & Manfrida, Giampaolo & Maraschiello, Francesco, 2012. "Thermo-fluid dynamics preliminary design of turbo-expanders for ORC cycles," Applied Energy, Elsevier, vol. 97(C), pages 601-608.
    8. Manente, Giovanni & Da Lio, Luca & Lazzaretto, Andrea, 2016. "Influence of axial turbine efficiency maps on the performance of subcritical and supercritical Organic Rankine Cycle systems," Energy, Elsevier, vol. 107(C), pages 761-772.
    9. Guillaume, Ludovic & Legros, Arnaud & Desideri, Adriano & Lemort, Vincent, 2017. "Performance of a radial-inflow turbine integrated in an ORC system and designed for a WHR on truck application: An experimental comparison between R245fa and R1233zd," Applied Energy, Elsevier, vol. 186(P3), pages 408-422.
    10. Kang, Seok Hun, 2012. "Design and experimental study of ORC (organic Rankine cycle) and radial turbine using R245fa working fluid," Energy, Elsevier, vol. 41(1), pages 514-524.
    11. Sauret, Emilie & Gu, Yuantong, 2014. "Three-dimensional off-design numerical analysis of an organic Rankine cycle radial-inflow turbine," Applied Energy, Elsevier, vol. 135(C), pages 202-211.
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