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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.
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Alaa Selim
Ain Shams University
M. EL-Shimy
Ain Shams University
Ghada M. Amer
Benha University
Scientific Reports
UNSW Sydney
University of Connecticut
Institució Catalana de Recerca i Estudis Avançats
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Selim et al. (Fri,) studied this question.
synapsesocial.com/papers/68e72b9db6db6435876a5684 — DOI: https://doi.org/10.1038/s41598-024-55631-3
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