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A methodology for the preliminary design and performance prediction of high-pressure ratio radial-inflow turbines

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  • Meroni, Andrea
  • Robertson, Miles
  • Martinez-Botas, Ricardo
  • Haglind, Fredrik

Abstract

Modern power generation technologies, such as organic Rankine cycle power systems, require turboexpanders operating with high-efficiency and high power density. These features often lead to high-pressure ratios machines, characterised by the presence of choking and supersonic flow conditions. This paper proposes a comprehensive methodology for the preliminary design and performance prediction of radial-inflow turbines operating at high-pressure ratios. A steady-state, mean-line model of a radial-inflow turbine is developed including real-gas effects and a detailed modelling strategy for the treatment of choking flow conditions. In addition, a set of loss models tailored to high-pressure ratio radial-inflow turbines is developed. After a global sensitivity analysis, the model is calibrated by means of a multi-objective optimisation with a Genetic Algorithm and using the data of six high-pressure ratio turbines with total-to-total pressure ratios up to 5.8. The calibration method allows a significant reduction in the overall predicted deviation of the turbine isentropic efficiency and mass flow rate. The design model yields predicted deviations in isentropic efficiency within ± 3 %-points and the off-design model within 5%. The methodology and the results are intended to be used as a benchmark for the future development of radial-inflow turbines in high-pressure ratio applications.

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  • Meroni, Andrea & Robertson, Miles & Martinez-Botas, Ricardo & Haglind, Fredrik, 2018. "A methodology for the preliminary design and performance prediction of high-pressure ratio radial-inflow turbines," Energy, Elsevier, vol. 164(C), pages 1062-1078.
    • Handle: RePEc:eee:energy:v:164:y:2018:i:c:p:1062-1078
    DOI: 10.1016/j.energy.2018.09.045
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    References listed on IDEAS

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    Cited by:

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    2. Hagen, Brede A.L. & Agromayor, Roberto & Nekså, Petter, 2021. "Equation-oriented methods for design optimization and performance analysis of radial inflow turbines," Energy, Elsevier, vol. 237(C).
    3. 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).
    4. Uusitalo, Antti & Turunen-Saaresti, Teemu & Honkatukia, Juha & Dhanasegaran, Radheesh, 2020. "Experimental study of small scale and high expansion ratio ORC for recovering high temperature waste heat," Energy, Elsevier, vol. 208(C).
    5. Yao, Lichao & Zou, Zhengping, 2020. "A one-dimensional design methodology for supercritical carbon dioxide Brayton cycles: Integration of cycle conceptual design and components preliminary design," Applied Energy, Elsevier, vol. 276(C).
    6. Imran, Muhammad & Haglind, Fredrik & Lemort, Vincent & Meroni, Andrea, 2019. "Optimization of organic rankine cycle power systems for waste heat recovery on heavy-duty vehicles considering the performance, cost, mass and volume of the system," Energy, Elsevier, vol. 180(C), pages 229-241.
    7. Emiliano Pipitone & Salvatore Caltabellotta & Antonino Sferlazza & Maurizio Cirrincione, 2023. "Hybrid Propulsion Efficiency Increment through Exhaust Energy Recovery—Part 1: Radial Turbine Modelling and Design," Energies, MDPI, vol. 16(3), pages 1-25, January.
    8. 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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