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

Dimitrios A. Arvanitidis (), Dimitrios K. Nasiopoulos, Dimitrios M. Mastrakoulis () and Panagiotis Reklitis
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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

A chapter in Computational and Strategic Business Modelling, 2024, pp 161-174 from Springer

Abstract: 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.

Keywords: RPAS (remotely piloted aircraft system); Drone; UAV; Solar cells; Modeling and simulation; Optimization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-41371-1_15

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DOI: 10.1007/978-3-031-41371-1_15

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