Autonomous UAV Systems Powered by Hybrid Energy Harvesting for Long-Term Environmental Mapping and Disaster Assessment

Wei Lin

doi:10.71222/16c9tv04

Authors

Wei Lin Northeastern University, Boston, USA Author

DOI:

https://doi.org/10.71222/16c9tv04

Keywords:

UAVs, Hybrid Energy Harvesting, Environmental Mapping, Disaster Assessment, Renewable Vigor

Abstract

This research article thereby explores the ontogenesis of UAV systems power by energy harvesting technologies for -term map and disaster assessment. On integrate energy sources, as solar and wind, with energy storage systems to enable protracted UAV operation, the study focus. A methodology is face, detail the blueprint of intercrossed energy systems, UAV protocols. And environmental data collection techniques. Results evidence significant betterment in UAV endurance. Mapping accuracy. And disaster response capabilities. The treatment inherently highlights the significance of these promotion for environmental monitoring and emergency management. The theme progressively concludes by accentuate the potency of intercrossed energy-powered UAVs to overturn -terminus environmental function and disaster assessment.

References

1. P. D. Mitcheson, D. Boyle, G. Kkelis, D. Yates, J. A. Saenz, S. Aldhaher, and E. Yeatman, "Energy-autonomous sensing systems using drones," in 2017 IEEE SENSORS, 2017, pp. 1-3.

2. N. N. Elmadina et al., "Double deep RL-based strategy for UAV-assisted energy harvesting optimization in disaster-resilient IoT networks," in 2024 9th Int. Conf. Mechatronics Eng. (ICOM), 2024, pp. 411-416.

3. S. Li, R. Bi, H. Chen, K. Suto, and N. Zhang, "Performance Analysis of Joint Information-Energy Coverage Probability in UAV Networks With Hybrid Energy Harvesting," IEEE Internet Things J., 2025.

4. T. F. Frigioescu, G. P. Badea, M. Dombrovschi, and M. Căldărar, "Performance evaluation of a hybrid power system for unmanned aerial vehicles applications," Electronics, vol. 14, no. 14, p. 2873, 2025.

5. Y. Wang et al., "Design and innovative integrated engineering approaches based investigation of hybrid renewable energized drone for long endurance applications," Sustainability, vol. 14, no. 23, p. 16173, 2022.

6. S. Wu, M. Lv, Z. Ning, S. Guo, and Y. Chen, "Advancements in Energy Management Strategies for Hydrogen Fuel Cell Hybrid UAVs: Towards Intelligent, Sustainable, and Autonomous Flight Systems," Aerospace, vol. 12, no. 12, p. 1097, 2025.

7. M. M. Salim, K. M. Rabie, and A. H. Muqaibel, "Energy-efficient UAV-mounted RIS for IoT: A hybrid energy harvesting and DRL approach," IEEE Commun. Stand. Mag., 2025.

8. R. Stroman et al., "The hybrid tiger: A long endurance solar/fuel cell/soaring unmanned aerial vehicle," in 48th Power Sources Conf., 2018, pp. 317-320.

9. T. V. Quyen, C. V. Nguyen, A. M. Le, and M. T. Nguyen, "Optimizing Hybrid Energy Harvesting Mechanisms for UAVs," EAI Endorsed Trans. Energy Web, vol. 7, no. 30, p. e8, 2020.

10. C. Van Nguyen, T. Van Quyen, A. M. Le, L. H. Truong, and M. T. Nguyen, "Advanced hybrid energy harvesting systems for unmanned aerial vehicles (UAVs)," Adv. Sci. Technol. Eng. Syst. J., vol. 5, no. 1, pp. 34-39, 2020.

11. V. Dobrokhodov, K. D. Jones, C. Walton, and I. I. Kaminer, "Achievable endurance of hybrid uav operating in time-varying energy fields," in AIAA Scitech 2020 Forum, 2020, p. 2197.

12. O. C. Ubadike, G. E. Abbe, T. E. Amoako, M. U. Bonet, M. O. Momoh, C. A. Adeboye, and K. P. Ter, "Robust LQR-Based Autopilot Design for Hybrid Energy Harvesting UAVs," FUDMA J. Renewable At. Energy, vol. 1, no. 2, pp. 92-123, 2024.