IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v164y2018icp1062-1078.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421831805X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.09.045?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Pei, Gang & Li, Jing & Li, Yunzhu & Wang, Dongyue & Ji, Jie, 2011. "Construction and dynamic test of a small-scale organic rankine cycle," Energy, Elsevier, vol. 36(5), pages 3215-3223.
    3. 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.
    4. 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.
    5. Meroni, Andrea & Andreasen, Jesper Graa & Persico, Giacomo & Haglind, Fredrik, 2018. "Optimization of organic Rankine cycle power systems considering multistage axial turbine design," Applied Energy, Elsevier, vol. 209(C), pages 339-354.
    6. Yusri, I.M. & Abdul Majeed, A.P.P. & Mamat, R. & Ghazali, M.F. & Awad, Omar I. & Azmi, W.H., 2018. "A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 665-686.
    7. Angelo La Seta & Andrea Meroni & Jesper Graa Andreasen & Leonardo Pierobon & Giacomo Persico & Fredrik Haglind, 2016. "Combined Turbine and Cycle Optimization for Organic Rankine Cycle Power Systems—Part B: Application on a Case Study," Energies, MDPI, vol. 9(6), pages 1-17, May.
    8. 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.
    9. Andrea Meroni & Angelo La Seta & Jesper Graa Andreasen & Leonardo Pierobon & Giacomo Persico & Fredrik Haglind, 2016. "Combined Turbine and Cycle Optimization for Organic Rankine Cycle Power Systems—Part A: Turbine Model," Energies, MDPI, vol. 9(5), pages 1-15, April.
    10. 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.
    11. Mounier, Violette & Olmedo, Luis Eric & Schiffmann, Jürg, 2018. "Small scale radial inflow turbine performance and pre-design maps for Organic Rankine Cycles," Energy, Elsevier, vol. 143(C), pages 1072-1084.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Jankowski, Marcin & Klonowicz, Piotr & Borsukiewicz, Aleksandra, 2021. "Multi-objective optimization of an ORC power plant using one-dimensional design of a radial-inflow turbine with backswept rotor blades," Energy, Elsevier, vol. 237(C).
    3. Yao, Yubo & Fang, Song & Zhu, Shaolong & Xu, Zhuoren & Zhang, Hanwei & Gan, Haoran & Iqbal, Qasir & Qiu, Limin & Wang, Kai, 2024. "Optimal design and tip leakage flow characteristics analysis of radial inflow turbine used in organic Rankine and vapor compression refrigeration system," Energy, Elsevier, vol. 301(C).
    4. 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).
    5. 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).
    6. 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).
    7. 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).
    8. 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.
    9. 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.
    10. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. Yao, Yubo & Fang, Song & Zhu, Shaolong & Xu, Zhuoren & Zhang, Hanwei & Gan, Haoran & Iqbal, Qasir & Qiu, Limin & Wang, Kai, 2024. "Optimal design and tip leakage flow characteristics analysis of radial inflow turbine used in organic Rankine and vapor compression refrigeration system," Energy, Elsevier, vol. 301(C).
    5. 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.
    6. Ningjian Peng & Enhua Wang & Hongguang Zhang, 2021. "Preliminary Design of an Axial-Flow Turbine for Small-Scale Supercritical Organic Rankine Cycle," Energies, MDPI, vol. 14(17), pages 1-20, August.
    7. 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.
    8. Liaw, Kim Leong & Ong, Khai Chuin & Mohd Ali Zar, Muhammad Aliff B. & Lai, Wen Kang & Muhammad, M. Fadhli B. & Firmansyah, & Kurnia, Jundika C., 2023. "Experimental and numerical investigation of an innovative non-combustion impulse gas turbine for micro-scale electricity generation," Energy, Elsevier, vol. 266(C).
    9. Peng Li & Zhonghe Han & Xiaoqiang Jia & Zhongkai Mei & Xu Han, 2018. "Analysis of the Effects of Blade Installation Angle and Blade Number on Radial-Inflow Turbine Stator Flow Performance," Energies, MDPI, vol. 11(9), pages 1-15, August.
    10. Nithesh, K.G. & Chatterjee, Dhiman & Oh, Cheol & Lee, Young-Ho, 2016. "Design and performance analysis of radial-inflow turboexpander for OTEC application," Renewable Energy, Elsevier, vol. 85(C), pages 834-843.
    11. Nithesh, K.G. & Chatterjee, Dhiman, 2016. "Numerical prediction of the performance of radial inflow turbine designed for ocean thermal energy conversion system," Applied Energy, Elsevier, vol. 167(C), pages 1-16.
    12. Jankowski, Marcin & Klonowicz, Piotr & Borsukiewicz, Aleksandra, 2021. "Multi-objective optimization of an ORC power plant using one-dimensional design of a radial-inflow turbine with backswept rotor blades," Energy, Elsevier, vol. 237(C).
    13. Fuhaid Alshammari & Apostolos Pesyridis & Mohamed Elashmawy, 2020. "Generation of 3D Turbine Blades for Automotive Organic Rankine Cycles: Mathematical and Computational Perspectives," Mathematics, MDPI, vol. 9(1), pages 1-30, December.
    14. Meroni, Andrea & Zühlsdorf, Benjamin & Elmegaard, Brian & Haglind, Fredrik, 2018. "Design of centrifugal compressors for heat pump systems," Applied Energy, Elsevier, vol. 232(C), pages 139-156.
    15. Landelle, Arnaud & Tauveron, Nicolas & Haberschill, Philippe & Revellin, Rémi & Colasson, Stéphane, 2017. "Organic Rankine cycle design and performance comparison based on experimental database," Applied Energy, Elsevier, vol. 204(C), pages 1172-1187.
    16. Zou, Aihong & Chassaing, Jean-Camille & Persky, Rodney & Gu, YuanTong & Sauret, Emilie, 2019. "Uncertainty Quantification in high-density fluid radial-inflow turbines for renewable low-grade temperature cycles," Applied Energy, Elsevier, vol. 241(C), pages 313-330.
    17. Fuhaid Alshammari & Apostolos Karvountzis-Kontakiotis & Apostolos Pesyridis & Muhammad Usman, 2018. "Expander Technologies for Automotive Engine Organic Rankine Cycle Applications," Energies, MDPI, vol. 11(7), pages 1-36, July.
    18. 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.
    19. Yamada, Noboru & Tominaga, Yoshihito & Yoshida, Takanori, 2014. "Demonstration of 10-Wp micro organic Rankine cycle generator for low-grade heat recovery," Energy, Elsevier, vol. 78(C), pages 806-813.
    20. Masi, Massimo & Da Lio, Luca & Lazzaretto, Andrea, 2020. "An insight into the similarity approach to predict the maximum efficiency of organic Rankine cycle turbines," Energy, Elsevier, vol. 198(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:164:y:2018:i:c:p:1062-1078. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.