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New efficiency charts for the optimum design of axial flow turbines for organic Rankine cycles

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

Abstract

Turbine efficiency plays a key role in the design optimization of ORCs (organic Rankine cycles) and should be properly evaluated for an accurate estimate of the real power production. Its value is in general assumed as given in the design optimization procedure, without a check that it can be really achieved in the resulting working conditions. The peculiar properties of high molecular weight fluids markedly influence turbine design and ask for turbine design criteria specifically tailored to ORCs. In this work a meanline design procedure for single stage axial flow turbines is developed to find optimum turbine geometry and efficiency in a wide range of operating conditions. Unlike previous literature, real fluid properties and very recent loss models are implemented. The variation of the predicted turbine efficiency with loading coefficient, flow coefficient, specific speed and specific diameter is shown through new general maps that explicitly take into account the strong influence of compressibility and turbine size through the volumetric expansion ratio and size parameter, respectively. All these maps can be included in a general design optimization procedure of the ORC system to help select the optimum design point, overcoming any arbitrary assumptions on turbine efficiency.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:77:y:2014:i:c:p:447-459
    DOI: 10.1016/j.energy.2014.09.029
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    Cited by:

    1. D'Amico, F. & Pallis, P. & Leontaritis, A.D. & Karellas, S. & Kakalis, N.M. & Rech, S. & Lazzaretto, A., 2018. "Semi-empirical model of a multi-diaphragm pump in an Organic Rankine Cycle (ORC) experimental unit," Energy, Elsevier, vol. 143(C), pages 1056-1071.
    2. 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.
    3. 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.
    4. Wang, Tianze & Xu, Jinliang & Wang, Zhaofu & Zheng, Haonan & Qi, Jianhui & Liu, Guanglin, 2023. "Irreversible losses, characteristic sizes and efficiencies of sCO2 axial turbines dependent on power capacities," Energy, Elsevier, vol. 275(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. 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.
    7. Liu, Changxing & Zou, Zhengping & Xu, Pengcheng & Wang, Yifan, 2024. "Development of helium turbine loss model based on knowledge transfer with neural network and its application on aerodynamic design," Energy, Elsevier, vol. 297(C).
    8. 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.
    9. Zhu, Sipeng & Deng, Kangyao & Liu, Sheng, 2015. "Modeling and extrapolating mass flow characteristics of a radial turbocharger turbine," Energy, Elsevier, vol. 87(C), pages 628-637.
    10. Kolahchian Tabrizi, Mehrshad & Bonalumi, Davide, 2022. "Techno-economic performance of the 2-propanol/1-butanol zeotropic mixture and 2-propanol/water azeotropic mixture as a working fluid in Organic Rankine Cycles," Energy, Elsevier, vol. 246(C).
    11. Sun, Hongchuang & Qin, Jiang & Hung, Tzu-Chen & Huang, Hongyan & Yan, Peigang, 2019. "Performance analysis of low speed axial impulse turbine using two type nozzles for small-scale organic Rankine cycle," Energy, Elsevier, vol. 169(C), pages 1139-1152.
    12. Mazzi, N. & Rech, S. & Lazzaretto, A., 2015. "Off-design dynamic model of a real Organic Rankine Cycle system fuelled by exhaust gases from industrial processes," Energy, Elsevier, vol. 90(P1), pages 537-551.
    13. Yang, Yi & Huo, Yaowu & Xia, Wenkai & Wang, Xurong & Zhao, Pan & Dai, Yiping, 2017. "Construction and preliminary test of a geothermal ORC system using geothermal resource from abandoned oil wells in the Huabei oilfield of China," Energy, Elsevier, vol. 140(P1), pages 633-645.
    14. 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.
    15. 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.
    16. 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).
    17. Steven Lecompte & Sanne Lemmens & Henk Huisseune & Martijn Van den Broek & Michel De Paepe, 2015. "Multi-Objective Thermo-Economic Optimization Strategy for ORCs Applied to Subcritical and Transcritical Cycles for Waste Heat Recovery," Energies, MDPI, vol. 8(4), pages 1-28, April.
    18. He, Wei & Wang, Jihong, 2018. "Optimal selection of air expansion machine in Compressed Air Energy Storage: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 77-95.
    19. Łukasz Witanowski, 2024. "Multi-Objective Optimization of a Small-Scale ORC-VCC System Using Low-GWP Refrigerants," Energies, MDPI, vol. 17(21), pages 1-18, October.
    20. 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.
    21. 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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