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Theoretical and experimental research on the thermal performance of ocean thermal energy conversion system using the rankine cycle mode

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  • Chen, Fengyun
  • Liu, Lei
  • Peng, Jingping
  • Ge, Yunzheng
  • Wu, Haoyu
  • Liu, Weimin

Abstract

In this paper theoretical analysis of an ocean thermal energy conversion (OTEC) system was conducted using the Rankine cycle based on the first law of thermodynamics and a mathematical model of components of the system was established. Efficiencies of six types of working fluids were evaluated and compared under the uniform conditions. Finally a 15 kW OTEC plant using the Rankine cycle was constructed and change rules of the thermal cycle efficiency were obtained with various parameters. The results show that by using the Rankine cycle R717 is “the most suitable” for an OTEC system among the selected working fluids. Thermal cycle efficiency initially increases and then decreases with increasing turbine inlet pressure; maximum thermal cycle efficiency was achieved when the turbine inlet and outlet temperature are fixed. Thermal cycle efficiency was 3.2% when the turbine inlet pressure was 0.85 MPa under calculating the conditions. The thermal efficiency decreased with an increase of the condensing temperature under the same turbine inlet pressure. The consistency between the experiment and theoretical results was verified; the experimental value was lower than the theoretical. Meanwhile, this work can provide design data for an OTEC plant and operating experience for an OTEC system was obtained.

Suggested Citation

  • Chen, Fengyun & Liu, Lei & Peng, Jingping & Ge, Yunzheng & Wu, Haoyu & Liu, Weimin, 2019. "Theoretical and experimental research on the thermal performance of ocean thermal energy conversion system using the rankine cycle mode," Energy, Elsevier, vol. 183(C), pages 497-503.
    • Handle: RePEc:eee:energy:v:183:y:2019:i:c:p:497-503
    DOI: 10.1016/j.energy.2019.04.008
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    1. Yang, Min-Hsiung & Yeh, Rong-Hua, 2014. "Analysis of optimization in an OTEC plant using organic Rankine cycle," Renewable Energy, Elsevier, vol. 68(C), pages 25-34.
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    Cited by:

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    3. Robert J. Brecha & Katherine Schoenenberger & Masaō Ashtine & Randy Koon Koon, 2021. "Ocean Thermal Energy Conversion—Flexible Enabling Technology for Variable Renewable Energy Integration in the Caribbean," Energies, MDPI, vol. 14(8), pages 1-19, April.
    4. 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).
    5. 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.
    6. Vera, D. & Baccioli, A. & Jurado, F. & Desideri, U., 2020. "Modeling and optimization of an ocean thermal energy conversion system for remote islands electrification," Renewable Energy, Elsevier, vol. 162(C), pages 1399-1414.
    7. 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).
    8. Guillermo Lopez & Maria de los Angeles Ortega Del Rosario & Arthur James & Humberto Alvarez, 2022. "Site Selection for Ocean Thermal Energy Conversion Plants (OTEC): A Case Study in Panama," Energies, MDPI, vol. 15(9), pages 1-24, April.
    9. Peng, Jingping & Ge, Yunzheng & Chen, Fengyun & Liu, Lei & Wu, Haoyu & Liu, Weimin, 2022. "Theoretical and experimental study on the performance of a high-efficiency thermodynamic cycle for ocean thermal energy conversion," Renewable Energy, Elsevier, vol. 185(C), pages 734-747.
    10. Huo, Erguang & Chen, Wei & Deng, Zilong & Gao, Wei & Chen, Yongping, 2023. "Thermodynamic analysis and optimization of a combined cooling and power system using ocean thermal energy and solar energy," Energy, Elsevier, vol. 278(PA).
    11. Yanni Yu & Mingqian Tian & Yanjun Liu & Beichen Lu & Yun Chen, 2024. "Experimental Research and Improved Neural Network Optimization Based on the Ocean Thermal Energy Conversion Experimental Platform," Energies, MDPI, vol. 17(17), pages 1-20, August.

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