IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v198y2020ics0360544220303856.html
   My bibliography  Save this article

An insight into the similarity approach to predict the maximum efficiency of organic Rankine cycle turbines

Author

Listed:
  • Masi, Massimo
  • Da Lio, Luca
  • Lazzaretto, Andrea

Abstract

This work deals with the prediction of the maximum efficiency achievable by turbines for Organic Rankine Cycle (ORC) systems by means of similarity principles. At present, this is a key topic in the preliminary design optimization procedures of these systems. The dimensional analysis applied to the most general ORC turbines scenario helps obtain the functional relationship between maximum turbine efficiency and the most relevant design variables within the general framework of the flow similarity.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:198:y:2020:i:c:s0360544220303856
    DOI: 10.1016/j.energy.2020.117278
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220303856
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.117278?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, 2014. "New efficiency charts for the optimum design of axial flow turbines for organic Rankine cycles," Energy, Elsevier, vol. 77(C), pages 447-459.
    2. Maraver, Daniel & Royo, Javier & Lemort, Vincent & Quoilin, Sylvain, 2014. "Systematic optimization of subcritical and transcritical organic Rankine cycles (ORCs) constrained by technical parameters in multiple applications," Applied Energy, Elsevier, vol. 117(C), pages 11-29.
    3. 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.
    4. Yu, Haoshui & Feng, Xiao & Wang, Yufei, 2015. "A new pinch based method for simultaneous selection of working fluid and operating conditions in an ORC (Organic Rankine Cycle) recovering waste heat," Energy, Elsevier, vol. 90(P1), pages 36-46.
    5. Roberto Capata & Enrico Sciubba, 2015. "Experimental Fitting of the Re-Scaled Balje Maps for Low-Reynolds Radial Turbomachinery," Energies, MDPI, vol. 8(8), pages 1-15, July.
    6. 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.
    7. Vivian, Jacopo & Manente, Giovanni & Lazzaretto, Andrea, 2015. "A general framework to select working fluid and configuration of ORCs for low-to-medium temperature heat sources," Applied Energy, Elsevier, vol. 156(C), pages 727-746.
    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. 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. 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).

    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. Manente, Giovanni & Lazzaretto, Andrea & Bonamico, Eleonora, 2017. "Design guidelines for the choice between single and dual pressure layouts in organic Rankine cycle (ORC) systems," Energy, Elsevier, vol. 123(C), pages 413-431.
    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. 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.
    4. 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.
    5. Xu, Weicong & Zhao, Li & Mao, Samuel S. & Deng, Shuai, 2020. "Towards novel low temperature thermodynamic cycle: A critical review originated from organic Rankine cycle," Applied Energy, Elsevier, vol. 270(C).
    6. Rech, Sergio & Zandarin, Simone & Lazzaretto, Andrea & Frangopoulos, Christos A., 2017. "Design and off-design models of single and two-stage ORC systems on board a LNG carrier for the search of the optimal performance and control strategy," Applied Energy, Elsevier, vol. 204(C), pages 221-241.
    7. Martin T. White & Abdulnaser I. Sayma, 2018. "A Generalised Assessment of Working Fluids and Radial Turbines for Non-Recuperated Subcritical Organic Rankine Cycles," Energies, MDPI, vol. 11(4), pages 1-26, March.
    8. 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.
    9. 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).
    10. Su, Wen & Zhao, Li & Deng, Shuai, 2017. "Simultaneous working fluids design and cycle optimization for Organic Rankine cycle using group contribution model," Applied Energy, Elsevier, vol. 202(C), pages 618-627.
    11. Lazzaretto, Andrea & Manente, Giovanni & Toffolo, Andrea, 2018. "SYNTHSEP: A general methodology for the synthesis of energy system configurations beyond superstructures," Energy, Elsevier, vol. 147(C), pages 924-949.
    12. Vivian, Jacopo & Manente, Giovanni & Lazzaretto, Andrea, 2015. "A general framework to select working fluid and configuration of ORCs for low-to-medium temperature heat sources," Applied Energy, Elsevier, vol. 156(C), pages 727-746.
    13. Miao, Zheng & Zhang, Kai & Wang, Mengxiao & Xu, Jinliang, 2019. "Thermodynamic selection criteria of zeotropic mixtures for subcritical organic Rankine cycle," Energy, Elsevier, vol. 167(C), pages 484-497.
    14. Uusitalo, Antti & Honkatukia, Juha & Turunen-Saaresti, Teemu, 2017. "Evaluation of a small-scale waste heat recovery organic Rankine cycle," Applied Energy, Elsevier, vol. 192(C), pages 146-158.
    15. 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.
    16. Cavazzini, G. & Bari, S. & Pavesi, G. & Ardizzon, G., 2017. "A multi-fluid PSO-based algorithm for the search of the best performance of sub-critical Organic Rankine Cycles," Energy, Elsevier, vol. 129(C), pages 42-58.
    17. Kadhim, Hakim T. & Rona, Aldo, 2018. "Off-design performance of a liquefied natural gas plant with an axial turbine of novel endwall design," Applied Energy, Elsevier, vol. 222(C), pages 830-839.
    18. Braimakis, Konstantinos & Karellas, Sotirios, 2017. "Integrated thermoeconomic optimization of standard and regenerative ORC for different heat source types and capacities," Energy, Elsevier, vol. 121(C), pages 570-598.
    19. 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.
    20. Li, Jian & Ge, Zhong & Duan, Yuanyuan & Yang, Zhen & Liu, Qiang, 2018. "Parametric optimization and thermodynamic performance comparison of single-pressure and dual-pressure evaporation organic Rankine cycles," Applied Energy, Elsevier, vol. 217(C), pages 409-421.

    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:198:y:2020:i:c:s0360544220303856. 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.