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Parametric analysis and optimization of a small-scale radial turbine for Organic Rankine Cycle

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  • Rahbar, Kiyarash
  • Mahmoud, Saad
  • Al-Dadah, Raya K.
  • Moazami, Nima

Abstract

Organic Rankine Cycle converts low grade heat sources into power utilizing organic fluids with low boiling temperature and pressure. In this cycle the design and performance of the expander has a significant impact on the cycle's overall efficiency. This work presents an integrated mathematical approach for the development of an efficient and compact small-scale radial turbine. This mathematical approach integrates the mean-line modelling with real gas formulation and GA(genetic algorithm) optimisation technique. In this methodology, the mean-line modelling coupled with real gas formulation is employed to perform parametric studies to identify the key variables that have significant effect on the turbine efficiency. Such variables are then used in the GA to optimise the turbine performance. Eight organic fluids are investigated to optimise the performance of the small-scale radial turbine in terms of efficiency. Results showed that the achieved radial turbine efficiencies vary from 82.9% to 84%; which is higher than the reported efficiency values of other types of expanders. R152a showed the highest efficiency of 84% with seven degrees (K) of superheating. However, if the superheating is to be avoided, isobutane exhibited the most favourable characteristics in terms of efficiency (83.82%), rotor size (66.3 mm) and inlet temperature (89.2 °C).

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:83:y:2015:i:c:p:696-711
    DOI: 10.1016/j.energy.2015.02.079
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    14. Leveni, Martina & Manfrida, Giampaolo & Cozzolino, Raffaello & Mendecka, Barbara, 2019. "Energy and exergy analysis of cold and power production from the geothermal reservoir of Torre Alfina," Energy, Elsevier, vol. 180(C), pages 807-818.
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    16. 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.
    17. Al Jubori, Ayad M. & Al-Dadah, Raya K. & Mahmoud, Saad & Daabo, Ahmed, 2017. "Modelling and parametric analysis of small-scale axial and radial-outflow turbines for Organic Rankine Cycle applications," Applied Energy, Elsevier, vol. 190(C), pages 981-996.
    18. Al Jubori, Ayad M. & Al-Dadah, Raya & Mahmoud, Saad, 2017. "Performance enhancement of a small-scale organic Rankine cycle radial-inflow turbine through multi-objective optimization algorithm," Energy, Elsevier, vol. 131(C), pages 297-311.
    19. Park, Sang-Chan & Son, Chang-Hyo & Lee, Ho-Saeng & Lim, Seung-Taek & Yoon, Ji-Won & Choi, Mun-Kyong & Seol, Sung-Hoon, 2023. "Performance analysis of an organic Rankine cycle with an internal heat exchanger considering turbine pressure ratio and efficiency," Energy, Elsevier, vol. 285(C).
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    21. Kaczmarczyk, Tomasz Z. & Żywica, Grzegorz & Ihnatowicz, Eugeniusz, 2017. "The impact of changes in the geometry of a radial microturbine stage on the efficiency of the micro CHP plant based on ORC," Energy, Elsevier, vol. 137(C), pages 530-543.
    22. White, Martin & Sayma, Abdulnaser I., 2016. "Improving the economy-of-scale of small organic rankine cycle systems through appropriate working fluid selection," Applied Energy, Elsevier, vol. 183(C), pages 1227-1239.
    23. 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.
    24. 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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