Abstract: The successful deployment of green hydrogen systems requires rigorous information acquisition before large-scale capital commitment, analogous to the reconnaissance strategies employed by many animal species prior to resource-intensive actions. This perspective paper examines the state of the art of hybrid renewable energy systems for green hydrogen production through the lens of bio-inspired information-gathering processes. We map natural behaviors—scouting, environmental sampling, risk assessment, and adaptive decision-making—onto the technical pipeline...
Keywords: green hydrogen; hybrid renewable systems; multi-objective optimization; bio-inspired algorithms; Hippopotamus Optimization; NSGA-III; northern Sinaloa; Mexico; information gathering; Pareto front
[1].
Terlouw, T., Bauer, C., McKenna, R., & Mazzotti, M. (2022). Large-scale hydrogen production via water electrolysis: a techno-economic and environmental assessment. Energy & Environmental Science, 15, 3583–3602. https://doi.org/10.1039/D2EE01023B
[2].
Hassan, Q., Algburi, S., Sameen, A. Z., Salman, H. M., & Jaszczur, M. (2024). Towards clean energy independence: Assessing MENA region hybrid PV-wind solutions for green hydrogen generation and storage and 24/7 power production. Sustainable Energy Technologies and Assessments, 66, 104158. https://doi.org/10.1016/j.seta.2024.104158
[3].
Terlouw et al. (2022), op. cit.; also Ahmadi, S., Sadeghi, D., Marzband, M., Abusorrah, A., & Sedraoui, K. (2022). A thorough economic evaluation by implementing solar/wind energies for hydrogen production: A case study. Sustainability, 14(3), 1177.
[4].
Hussam, W. K., Barhoumi, E. M., Abdul-Niby, M., & Sheard, G. J. (2024). Techno-economic analysis and optimization of hydrogen production from renewable hybrid energy systems: Shagaya renewable power plant-Kuwait. International Journal of Hydrogen Energy, 58, 56–68.
[5].
Amiri, M. H., Mehrabi Hashjin, N., Montazeri, M., Mirjalili, S., & Khodadadi, N. (2024). Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm. Scientific Reports, 14, 5032. https://doi.org/10.1038/s41598-024-54910-3