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Innovative design and performance evaluation of a compact 1 MW radial inflow turbine with non-azeotropic fluids for ocean thermal energy conversion applications

Author

Listed:
  • Ma, Qingfen
  • He, Guanglin
  • Li, Jingru
  • Wu, Zhongye
  • Lu, Hui
  • Wang, Chengpeng
  • Wang, Shenghui

Abstract

The large-scale utilization of ocean thermal energy necessitates cost reduction, which is achievable primarily through system scaling. In this context, this study explores megawatt-scale turbine technology as a key enabler for the commercialization of ocean thermal energy conversion (OTEC) systems. A compact 1 MW radial inflow turbine was designed and modeled, with particular attention to enhancing performance and minimizing system footprint. To meet these requirements, a novel non-azeotropic working fluid mixture—ammonia/R1123 at a mass ratio of 0.76/0.24—was proposed to optimize thermodynamic efficiency. The turbine design process involved the preliminary optimization of key geometric parameters using a particle swarm optimization (PSO) algorithm, followed by detailed three-dimensional computational fluid dynamics (CFD) simulations. Spontaneous nucleation theory was employed instead of conventional equilibrium-based models to capture the nonequilibrium condensation more accurately during ammonia wet expansion, representing a novel approach not previously reported. Under optimal operating conditions, the turbine achieved an isentropic efficiency of 91.74 % and an output power of 1049.91 kW, thereby fulfilling the design objectives. The maximum supersaturation ratio was calculated to be 1.008, below the threshold for spontaneous droplet nucleation, indicating that wet expansion was successfully avoided. Furthermore, off-design performance analyses confirmed the turbine's operational robustness across varying conditions, demonstrating its practical feasibility for integration into large-scale OTEC systems.

Suggested Citation

  • Ma, Qingfen & He, Guanglin & Li, Jingru & Wu, Zhongye & Lu, Hui & Wang, Chengpeng & Wang, Shenghui, 2025. "Innovative design and performance evaluation of a compact 1 MW radial inflow turbine with non-azeotropic fluids for ocean thermal energy conversion applications," Energy, Elsevier, vol. 335(C).
  • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225037478
    DOI: 10.1016/j.energy.2025.138105
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    References listed on IDEAS

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    1. 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.
    2. Yang, Min-Hsiung & Yeh, Rong-Hua, 2022. "Investigation of the potential of R717 blends as working fluids in the organic Rankine cycle (ORC) for ocean thermal energy conversion (OTEC)," Energy, Elsevier, vol. 245(C).
    3. Langer, Jannis & Quist, Jaco & Blok, Kornelis, 2020. "Recent progress in the economics of ocean thermal energy conversion: Critical review and research agenda," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    4. Wang, Zhiqi & Xie, Baoqi & Xia, Xiaoxia & Yang, Huya & Zuo, Qingsong & Liu, Zhipeng, 2022. "Energy loss of radial inflow turbine for organic Rankine cycle using mixture based on entropy production method," Energy, Elsevier, vol. 245(C).
    5. Zhang, Chengbin & Wu, Zhe & Wang, Jiadian & Ding, Ce & Gao, Tieyu & Chen, Yongping, 2023. "Thermodynamic performance of a radial-inflow turbine for ocean thermal energy conversion using ammonia," Renewable Energy, Elsevier, vol. 202(C), pages 907-920.
    6. Ma, Qingfen & Gao, Zezhou & Huang, Jie & Mahian, Omid & Feng, Xin & Lu, Hui & Wang, Shenghui & Wang, Chengpeng & Tang, Rongnian & Li, Jingru, 2023. "Thermodynamic analysis and turbine design of a 100 kW OTEC-ORC with binary non-azeotropic working fluid," Energy, Elsevier, vol. 263(PE).
    7. Liu, Weimin & Xu, Xiaojian & Chen, Fengyun & Liu, Yanjun & Li, Shizhen & Liu, Lei & Chen, Yun, 2020. "A review of research on the closed thermodynamic cycles of ocean thermal energy conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    8. Langer, Jannis & Infante Ferreira, Carlos & Quist, Jaco, 2022. "Is bigger always better? Designing economically feasible ocean thermal energy conversion systems using spatiotemporal resource data," Applied Energy, Elsevier, vol. 309(C).
    9. Kim, Do-Yeop & Kim, You-Taek, 2017. "Preliminary design and performance analysis of a radial inflow turbine for ocean thermal energy conversion," Renewable Energy, Elsevier, vol. 106(C), pages 255-263.
    10. Zhang, Ji & Zhang, Xiaomeng & Zhang, Zhixiang & Zhou, Peilin & Zhang, Yan & Yuan, Han, 2022. "Performance improvement of ocean thermal energy conversion organic Rankine cycle under temperature glide effect," Energy, Elsevier, vol. 246(C).
    11. Chen, Yun & Liu, Yanjun & Liu, Weimin & Ge, Yunzheng & Xue, Yifan & Zhang, Li, 2022. "Optimal design of radial inflow turbine for ocean thermal energy conversion based on the installation angle of nozzle blade," Renewable Energy, Elsevier, vol. 184(C), pages 857-870.
    12. Ting-Pi Sun & Franco Álvarez-Novoa & Klebbert Andrade & Pablo Gutiérrez & Leonardo Gordillo & Xiang Cheng, 2022. "Stress distribution and surface shock wave of drop impact," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    13. Liu, Yanjun & Xue, Yifan & Chen, Yun & Liu, Weimin & Ge, Yunzheng & Zhang, Li, 2022. "Identification of nonparametric thermodynamic model and optimization of ocean thermal energy conversion radial inflow turbine," Applied Energy, Elsevier, vol. 321(C).
    14. Wu, Di & Hu, Bin & Wang, R.Z., 2021. "Vapor compression heat pumps with pure Low-GWP refrigerants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    15. Zhang, Wei & Li, Ye & Wu, Xiaoni & Guo, Shihao, 2018. "Review of the applied mechanical problems in ocean thermal energy conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 231-244.
    16. Wang, Guohui & Yang, Yanan & Wang, Shuxin, 2020. "Ocean thermal energy application technologies for unmanned underwater vehicles: A comprehensive review," Applied Energy, Elsevier, vol. 278(C).
    17. Langer, Jannis & Quist, Jaco & Blok, Kornelis, 2022. "Upscaling scenarios for ocean thermal energy conversion with technological learning in Indonesia and their global relevance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    18. Ma, Qingfen & Feng, Xin & Li, Jingru & Wu, Zhongye & Lu, Hui & Luo, Hongfeng & Wang, Chengpeng & Wang, Shenghui & Huang, Jie & Mahian, Omid, 2024. "An innovative ocean thermal energy conversion system with zeotropic Rankine cycle and direct contact membrane distillation for enhanced efficiency and sustainability," Energy, Elsevier, vol. 291(C).
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