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Design and Experiment of a Double-Layer Vertical Axis Wind Turbine

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Bio-inspired Information and Communication Technologies (BICT 2020)

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Abstract

This paper introduces the design and experiment of a double-layer vertical axis wind turbine. This system is mainly oriented to the polar environment as a supplement for mobile robot energy. Firstly, the aerodynamic performance of the wind turbine structural parameters is numerically simulated using CFD software combined with the Uniform Design Experimentation method, the system uses NACA4412 blades to form a double-layer wind turbine. Secondly, ANSYS software is used for modelling and verifying the structure of the main components of the wind turbine. A permanent magnet direct-drive synchronous generator is applied to convert mechanical energy into electrical energy, and charges the battery through a circuit. Finally, the prototype is developed and tested. The maximum conversion efficiency of wind energy can reach 24.66% at the wind speed of 7 m/s.

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Acknowledgment

This work was supported in part by the National Science Foundation of China under Grant 61525305, Grant U1813217, and Grant 61773254.

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Authors and Affiliations

  1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444, China

    Qixing Cheng & Xinming Hu

Authors
  1. Qixing Cheng
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  2. Xinming Hu
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Corresponding author

Correspondence to Xinming Hu .

Editor information

Editors and Affiliations

  1. University of Electronic Science and Technology, Chengdu, China

    Yifan Chen

  2. Osaka University, Osaka, Japan

    Tadashi Nakano

  3. Tongji University, Shanghai, China

    Lin Lin

  4. Resch School of Engineering, University of Wisconsiin-Green Bay, Green Bay, WI, USA

    Mohammad Upal Mahfuz

  5. School of Engineering, Cranfield University, Cranfield, UK

    Weisi Guo

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Cheng, Q., Hu, X. (2020). Design and Experiment of a Double-Layer Vertical Axis Wind Turbine. In: Chen, Y., Nakano, T., Lin, L., Mahfuz, M., Guo, W. (eds) Bio-inspired Information and Communication Technologies. BICT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 329. Springer, Cham. https://doi.org/10.1007/978-3-030-57115-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-57115-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57114-6

  • Online ISBN: 978-3-030-57115-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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