The transition to sustainable power infrastructure necessitates integrating various renewable energy sources efficiently. Our study introduces the deterministic balanced method (DBM) for optimizing hybrid energy systems, with a particular focus on using hydrogen for energy balance. The DBM translates the sizing optimization problem into a deterministic one, significantly reducing the number of iterations compared to state-of-the-art methods. Comparative analysis with HOMER Pro demonstrates a strong alignment of results, with deviations limited to a 5% margin, confirming the precision of our method in sizing determinations. Utilizing solar and wind data, our research includes a case study of Cairo International Airport, applying the DBM to actual energy demands.
CITATION STYLE
Selim, A., El-shimy, M., Amer, G., Ihoume, I., Masrur, H., & Guerrero, J. M. (2024). Hybrid off-grid energy systems optimal sizing with integrated hydrogen storage based on deterministic balance approach. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-55631-3
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