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Identification of nonparametric thermodynamic model and optimization of ocean thermal energy conversion radial inflow turbine

Author

Listed:
  • Liu, Yanjun
  • Xue, Yifan
  • Chen, Yun
  • Liu, Weimin
  • Ge, Yunzheng
  • Zhang, Li

Abstract

Turbine is one of the key components of ocean thermal energy conversion system, and its aerodynamic performance and geometric structure directly affect the performance of the system. At present, the design methods of radial inflow turbines can be roughly divided into three categories: trial method, best velocity ratio method and screening method, which follow no concrete rules and are not comprehensive, and rely mostly on the designers' experience. This study proposes a fully data-based non-parametric model identification and optimization method for ocean thermal energy conversion radial inflow turbines is proposed, and takes the 25 kW R134 working fluid turbine of the ocean thermal energy conversion system as an example for verification and analysis. First, the optimal Latin hypercube sampling method was used to complete the experimental design with seven initial thermodynamic parameters as independent variables. And then according to the test data and the Gaussian process regression identification, the non-parametric turbine thermodynamic model was obtained. At last, on the basis of this model, the NSGA-III multi-objective optimization algorithm was used to optimize the design with the goal to achieve maximum efficiency and minimum diameter, and the optimized results were obtained. The results show that the non-parametric model based on the Gaussian process proposed in this study has higher accuracy, and the optimization results obtained based on this model are more efficient and have a more compact structure. The research work described in this study saves time and cost for completing the aerodynamic performance design of the turbine and further improving the expansion efficiency of the radial inflow turbine. It is of great significance for the practical application of promoting ocean thermal energy conversion.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:appene:v:321:y:2022:i:c:s0306261922006948
    DOI: 10.1016/j.apenergy.2022.119348
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    References listed on IDEAS

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    1. Bahaj, AbuBakr S., 2011. "Generating electricity from the oceans," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3399-3416, September.
    2. Hung, T.C. & Wang, S.K. & Kuo, C.H. & Pei, B.S. & Tsai, K.F., 2010. "A study of organic working fluids on system efficiency of an ORC using low-grade energy sources," Energy, Elsevier, vol. 35(3), pages 1403-1411.
    3. Wang, Shujie & Yuan, Peng & Li, Dong & Jiao, Yuhe, 2011. "An overview of ocean renewable energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 91-111, January.
    4. Carroquino, Javier & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2015. "Sizing of off-grid renewable energy systems for drip irrigation in Mediterranean crops," Renewable Energy, Elsevier, vol. 76(C), pages 566-574.
    5. Zereshkian, Sajjad & Mansoury, Dariush, 2021. "A study on the feasibility of using solar radiation energy and ocean thermal energy conversion to supply electricity for offshore oil and gas fields in the Caspian Sea," Renewable Energy, Elsevier, vol. 163(C), pages 66-77.
    6. Rahbar, Kiyarash & Mahmoud, Saad & Al-Dadah, Raya K. & Moazami, Nima, 2015. "Parametric analysis and optimization of a small-scale radial turbine for Organic Rankine Cycle," Energy, Elsevier, vol. 83(C), pages 696-711.
    7. Martínez, M.L. & Vázquez, G. & Pérez-Maqueo, O. & Silva, R. & Moreno-Casasola, P. & Mendoza-González, G. & López-Portillo, J. & MacGregor-Fors, I. & Heckel, G. & Hernández-Santana, J.R. & García-Franc, 2021. "A systemic view of potential environmental impacts of ocean energy production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
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    Cited by:

    1. Chen, Fengyun & Liu, Lei & Zeng, Hao & Peng, Jingping & Ge, Yunzheng & Liu, Weimin, 2024. "Theoretical and experimental study on the secondary heat recovery cycle of the mixed working fluid in ocean thermal energy conversion," Renewable Energy, Elsevier, vol. 227(C).
    2. Inhestern, Lukas Benjamin & Peitsch, Dieter & Paniagua, Guillermo, 2024. "Flow irreversibility and heat transfer effects on turbine efficiency," Applied Energy, Elsevier, vol. 353(PA).

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