Upgrading these building envelopes by deploying building-integrated photovoltaics (BIPV) and allocating UAV recharging stations on their roofs would represent a dual green solution. The environmental benefits of reducing energy consumption in upgraded buildings are coupled with generating clean electricity required for the UAV charging functions.
Dang et al. (2021) propose a multi-criteria decision-making framework for island photovoltaic charging station site selection. While literature is abundant on ground vehicles and ships, UAVs have had less share of this focus. Compared to ground vehicles, the average UAV range is 3 km, which is significantly lower.
That said, in the case of UAVs, studies suggest logistical approaches such as multi-trip drone routing problem (Cheng et al., 2020) to minimize the travel and energy cost under time window constraints. Another solution is proposed by Bian, (2021) to minimize the total mission time via a GA.
All research on UAV charging allocation and planning depended on 2D routing or ESP, which yields non-practical results (ElSayed and Mohamed, 2020b). There is a literature gap in addressing the precise estimate of UAV operational energy based on real-life trajectories to inform charging station allocation.
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