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Energy Saving of an RPAS (Remotely Piloted Aircraft System) Using Solar Panels, Modeling, and Optimization

In: Computational and Strategic Business Modelling

Author

Listed:
  • Dimitrios A. Arvanitidis

    (University of Peloponnese)

  • Dimitrios K. Nasiopoulos

    (BICTEVAC LABORATORY Business Information and Communication Technologies in Value Chains laboratory, School of Applied Economics and Social Sciences, Agricultural University of Athens)

  • Dimitrios M. Mastrakoulis

    (University of Thessaly)

  • Panagiotis Reklitis

    (Organizational Innovation and Management Systems, School of Applied Economics and Social Sciences, Agricultural University of Athens)

Abstract

Drones are increasingly being used for a variety of purposes, such as monitoring forests and locating threatened individuals or objects in a large area. For countries where there is a huge border airport that becomes difficult to track, where even manned aircraft tracking ends up being very costly either in terms of fuel or aircraft maintenance, then the use of unmanned aerial vehicles as a solution is advisable. So manned aircraft are used more in cases where it becomes necessary. However, there is still a very big problem, as the autonomy of the batteries used by these RPAS devices is very short. Hence, they must land at some point to replace the batteries and continue their mission. There are many studies being done to reduce the energy consumption of the aircraft’s built-in system, as well as to change their design, but the focus of this work is to use the findings from performed flights with electric aircraft using solar cells. This research work studies the problem with the use of modeling and simulation, aiming to bring an improvement in the process.

Suggested Citation

  • Dimitrios A. Arvanitidis & Dimitrios K. Nasiopoulos & Dimitrios M. Mastrakoulis & Panagiotis Reklitis, 2024. "Energy Saving of an RPAS (Remotely Piloted Aircraft System) Using Solar Panels, Modeling, and Optimization," Springer Proceedings in Business and Economics, in: Damianos P. Sakas & Dimitrios K. Nasiopoulos & Yulia Taratuhina (ed.), Computational and Strategic Business Modelling, pages 161-174, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-41371-1_15
    DOI: 10.1007/978-3-031-41371-1_15
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