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A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems

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

Abstract

Organic Rankine Cycle (ORC) systems represent an efficient technology for power generation from low-to-medium temperature heat sources. Most of the efforts in the recent literature are addressed to the improvement of turbine design and efficiency by taking advantage of the low enthalpy drops while dealing with the large volume flow ratios across the expansion process and low speed of sound typical of high molecular weight fluids. These peculiar conditions make the choice and the design of an ORC turbine a challenging task, exacerbated by the only few experimental data available in the open literature. The aim of this paper is to obtain the optimum design and corresponding maximum efficiency of single stage radial inflow turbines for different cycle design specifications (i.e., mass flow rate and enthalpy drop) using the real gas properties of refrigerant R245fa. This aim is pursued by means of a mean-line model developed in Matlab® which includes the design and performance analysis procedure suggested by Aungier (2005). Results indicate how different design choices in terms of specific speed and velocity ratio, and different working conditions in terms of expansion ratio and turbine size may affect the efficiency of single stage radial inflow turbines in ORC systems.

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  • 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.
    • Handle: RePEc:eee:appene:v:205:y:2017:i:c:p:187-209
    DOI: 10.1016/j.apenergy.2017.07.120
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    References listed on IDEAS

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    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).
    2. 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).
    3. Marcin Jankowski & Aleksandra Borsukiewicz, 2020. "A Novel Exergy Indicator for Maximizing Energy Utilization in Low-Temperature ORC," Energies, MDPI, vol. 13(7), pages 1-20, April.
    4. Jankowski, Marcin & Borsukiewicz, Aleksandra & Wiśniewski, Sławomir & Hooman, Kamel, 2020. "Multi-objective analysis of an influence of a geothermal water salinity on optimal operating parameters in low-temperature ORC power plant," Energy, Elsevier, vol. 202(C).
    5. White, Martin T. & Read, Matthew G. & Sayma, Abdulnaser I., 2020. "Making the case for cascaded organic Rankine cycles for waste-heat recovery," Energy, Elsevier, vol. 211(C).
    6. 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.
    7. 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).
    8. 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.
    9. Zaniewski, Dawid & Klimaszewski, Piotr & Klonowicz, Piotr & Lampart, Piotr & Witanowski, Łukasz & Jędrzejewski, Łukasz & Suchocki, Tomasz & Antczak, Łukasz, 2021. "Performance of the honeycomb type sealings in organic vapour microturbines," Energy, Elsevier, vol. 226(C).
    10. Liu, Zheng & Copeland, Colin, 2018. "New method for mapping radial turbines exposed to pulsating flows," Energy, Elsevier, vol. 162(C), pages 1205-1222.
    11. 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).
    12. Manente, Giovanni & Ding, Yulong & Sciacovelli, Adriano, 2021. "Organic Rankine cycles combined with thermochemical sorption heat transformers to enhance the power output from waste heat," Applied Energy, Elsevier, vol. 304(C).
    13. 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.
    14. 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.
    15. 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.
    16. Gaylord Carrillo Caballero & Yulineth Cardenas Escorcia & Osvaldo José Venturini & Electo Eduardo Silva Lora & Anibal Alviz Meza & Luis Sebastián Mendoza Castellanos, 2023. "Unidimensional and 3D Analyses of a Radial Inflow Turbine for an Organic Rankine Cycle under Design and Off-Design Conditions," Energies, MDPI, vol. 16(8), pages 1-31, April.
    17. Marcin Jankowski & Aleksandra Borsukiewicz & Kamel Hooman, 2020. "Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant," Energies, MDPI, vol. 13(20), pages 1-27, October.
    18. 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.
    19. Li, Xiaoming & Lv, Cui & Yang, Shaoqi & Li, Jian & Deng, Bicai & Li, Qing, 2019. "Preliminary design and performance analysis of a radial inflow turbine for a large-scale helium cryogenic system," Energy, Elsevier, vol. 167(C), pages 106-116.
    20. Braccio, Simone & Di Nardo, Antonio & Calchetti, Giorgio & Phan, Hai Trieu & Le Pierrès, Nolwenn & Tauveron, Nicolas, 2023. "Performance evaluation of a micro partial admission impulse axial turbine in a combined ammonia-water cooling and electricity absorption cycle," Energy, Elsevier, vol. 278(PB).
    21. 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.
    22. Danieli, Piero & Rech, Sergio & Lazzaretto, Andrea, 2019. "Supercritical CO2 and air Brayton-Joule versus ORC systems for heat recovery from glass furnaces: Performance and economic evaluation," Energy, Elsevier, vol. 168(C), pages 295-309.
    23. Deligant, Michael & Sauret, Emilie & Danel, Quentin & Bakir, Farid, 2020. "Performance assessment of a standard radial turbine as turbo expander for an adapted solar concentration ORC," Renewable Energy, Elsevier, vol. 147(P3), pages 2833-2841.
    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.
    25. Miao, Zheng & Yan, Peiwei & Xiao, Meng & Zhang, Manzheng & Xu, Jinliang, 2023. "Comparative study on operating strategies of the organic Rankine cycle under transient heat source," Energy, Elsevier, vol. 285(C).

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