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Hybrid off-grid energy systems optimal sizing with integrated hydrogen storage based on deterministic balance approach.
Selim, Alaa; El-Shimy, Mohamed; Amer, Ghada; Ihoume, Ilham; Masrur, Hasan; Guerrero, Josep M.
Afiliación
  • Selim A; Electrical and Computer Engineering Department, University of Connecticut, Storrs, Connecticut, USA. alaa.selim@uconn.edu.
  • El-Shimy M; Electrical Power and Machines Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt. alaa.selim@uconn.edu.
  • Amer G; University of New South Wales, Sydney, NSW, 2052 , Australia. alaa.selim@uconn.edu.
  • Ihoume I; Electrical Power and Machines Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt.
  • Masrur H; Electrical Power and Machines Dept., Faculty of Engineering, Benha University, Benha, Egypt.
  • Guerrero JM; Solar Energy and Environment Laboratory, Mohammed V University in Rabat, Rabat, Morocco.
Sci Rep ; 14(1): 6888, 2024 Mar 22.
Article en En | MEDLINE | ID: mdl-38519582
ABSTRACT
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido