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Design and Innovative Integrated Engineering Approaches Based Investigation of Hybrid Renewable Energized Drone for Long Endurance Applications

Author

Listed:
  • Yinyin Wang

    (Economics and Management School, Nantong University, Nantong 226019, China
    Jiangsu Yangtze River Economic Belt Research Institute, Nantong University, Nantong 226002, China)

  • Lokeshkumar Kumar

    (Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore 641049, Tamil Nadu, India)

  • Vijayanandh Raja

    (Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore 641049, Tamil Nadu, India)

  • Hussein A. Z. AL-bonsrulah

    (Al-Amarah University College, Amarah 62001, Iraq
    Iraqi Ministry of Oil, Midland Refineries Company, Najaf Refinery, Najaf 54001, Iraq)

  • Naveen Kumar Kulandaiyappan

    (Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore 641049, Tamil Nadu, India)

  • Ashok Amirtharaj Tharmendra

    (Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore 641049, Tamil Nadu, India)

  • Nagaraj Marimuthu

    (Department of Aeronautical Engineering, Kumaraguru College of Technology, Coimbatore 641049, Tamil Nadu, India)

  • Mohammed Al-Bahrani

    (School of Engineering, University of Plymouth, Plymouth PL4 8AA, UK
    Chemical Engineering and Petroleum Industries Department, Al-Mustaqbal University College, Babylon 51001, Iraq)

Abstract

At present, surveillance is attracting attention in the field of UAV development. In particular, border surveillance plays a vital role in obtaining the required data around the border and for assisting in military operations. The primary function of this Hybrid UAV (VTOL and Fixed Wing) is to provide prerequisite data, captured during day/night surveillance, to the respective database. One of the primary problems that arise in border patrolling is the use of the UAV under different environmental conditions, thereby reducing its endurance firmly. In addition to the surveillance equipment, energy harvesting techniques are involved in solving the problem of endurance. The piezoelectric energy harvester and solar panels are added to harvest electrical energy in the UAV. Based on this application, the conceptual design of the Hybrid UAV, based on nature, was designed and investigated theoretically, as well as computationally. A series of analysis, which includes Computational Fluid Dynamics, Finite Element Analysis and Analytical approach, was used to determine the energy harvested from the energy harvester. This work confirms the proposed integrated engineering approach for the estimation of renewable energy, via PVEH patches, and the same approach is thus offered to researchers for subsequent applications. Additionally, a hybrid energy idea for newly developed drones was proposed in this work. This concept will be extensively used in the unmanned aircraft system sectors.

Suggested Citation

  • Yinyin Wang & Lokeshkumar Kumar & Vijayanandh Raja & Hussein A. Z. AL-bonsrulah & Naveen Kumar Kulandaiyappan & Ashok Amirtharaj Tharmendra & Nagaraj Marimuthu & Mohammed Al-Bahrani, 2022. "Design and Innovative Integrated Engineering Approaches Based Investigation of Hybrid Renewable Energized Drone for Long Endurance Applications," Sustainability, MDPI, vol. 14(23), pages 1-48, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16173-:d:992849
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    References listed on IDEAS

    as
    1. Rohini Janaki Balamurugan & Hussein A Z AL-bonsrulah & Vijayanandh Raja & Lokeshkumar Kumar & Sri Diviyalakshmi Kannan & Senthil Kumar Madasamy & Raffik Rasheed & Parvathy Rajendran & Mohammed Al-Bahr, 2022. "Design and multiperspectivity-based performance investigations of H-Darrieus vertical axis wind turbine through computational fluid dynamics adopted with moving reference frame approaches [Numerica," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 17, pages 784-806.
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    Cited by:

    1. Yiwei Na & Yulong Li & Danqiang Chen & Yongming Yao & Tianyu Li & Huiying Liu & Kuankuan Wang, 2023. "Optimal Energy Consumption Path Planning for Unmanned Aerial Vehicles Based on Improved Particle Swarm Optimization," Sustainability, MDPI, vol. 15(16), pages 1-16, August.

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