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Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method

Author

Listed:
  • Xinyu An

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
    These authors contributed equally to this work.)

  • Baowei Song

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
    These authors contributed equally to this work.)

  • Zhaoyong Mao

    (School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
    These authors contributed equally to this work.)

  • Congcong Ma

    (Laboratoire Roberval, Université de Technologie de Compiègne, 60200 Compiègne, France
    These authors contributed equally to this work.)

Abstract

The layout configuration of Vortex Induced Piezoelectric Energy Converters (VIPECs) is essential to improve its overall performance. Based on the formations of migrating geese, the configuration is characterized by two nondimensionalized layout parameters. A number of sampled points for different configurations are simulated with the two-dimensional Computation Fluid Dynamics (CFD) method. The influence of layout configurations on VIPECs’ lift force and wake structure is investigated and the generated open circuit output voltage is obtained through the derived output voltage equation. The response surface model of the output voltage of both the leading VIPEC and the following VIPEC and their summation are established using the Kriging surrogate model based on the obtained simulation results. Then, optimal layout parameters are found through the Particle Swarm Optimization (PSO) algorithm, and its predicted result is compared with that of the CFD simulation. The simulation and optimization results reveal that the output voltage is not always consistent with the lift force on the plate. When VIPECs are placed in parallel with a certain spacing, their overall performance increases. The summation of output voltage is predicted to improve by approximately 63.7% compared to two single VIPECs when they are placed at the optimal layout parameters.

Suggested Citation

  • Xinyu An & Baowei Song & Zhaoyong Mao & Congcong Ma, 2018. "Layout Optimization Design of Two Vortex Induced Piezoelectric Energy Converters (VIPECs) Using the Combined Kriging Surrogate Model and Particle Swarm Optimization Method," Energies, MDPI, vol. 11(8), pages 1-22, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2069-:d:162696
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    References listed on IDEAS

    as
    1. Xinyu An & Baowei Song & Wenlong Tian & Congcong Ma, 2018. "Design and CFD Simulations of a Vortex-Induced Piezoelectric Energy Converter (VIPEC) for Underwater Environment," Energies, MDPI, vol. 11(2), pages 1-15, February.
    2. Rahul Roy & Satchidananda Dehuri & Sung Bae Cho, 2011. "A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 2(4), pages 41-57, October.
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    Cited by:

    1. Junjun Shi & Jingfang Shen & Yaohui Li, 2021. "High-Precision Kriging Modeling Method Based on Hybrid Sampling Criteria," Mathematics, MDPI, vol. 9(5), pages 1-25, March.
    2. Cheng Yan & Jianfeng Zhu & Xiuli Shen & Jun Fan & Dong Mi & Zhengming Qian, 2020. "Ensemble of Regression-Type and Interpolation-Type Metamodels," Energies, MDPI, vol. 13(3), pages 1-20, February.
    3. Basit Ali & Muhammad Waseem Ashraf & Shahzadi Tayyaba, 2019. "Simulation, Fuzzy Analysis and Development of ZnO Nanostructure-based Piezoelectric MEMS Energy Harvester," Energies, MDPI, vol. 12(5), pages 1-15, February.

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