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Détail de l'auteur
Auteur Gaber, J.
Documents disponibles écrits par cet auteur
Affiner la rechercheModeling and simulation of PEM fuel cell thermal behavior on parallel computers / Salah, A. in IEEE transactions on energy conversion, Vol. 25, N° 3 (Septembre 2010)
[article]
in IEEE transactions on energy conversion > Vol. 25, N° 3 (Septembre 2010) . - pp. 768 - 777
Titre : Modeling and simulation of PEM fuel cell thermal behavior on parallel computers Type de document : texte imprimé Auteurs : Salah, A., Auteur ; Gaber, J., Auteur ; Outbib, R., Auteur Année de publication : 2011 Article en page(s) : pp. 768 - 777 Note générale : energy conversion Langues : Anglais (eng) Mots-clés : C language; message passing; partial differential equations; power engineering computing; proton exchange membrane fuel cells; synchronisation Résumé : Proton exchange membrane fuel cells (PEMFCs) have aroused great interest in recent years, in particular for transportation applications. However, fuel cell (FC) technology is not yet ready for large-scale commercial use, as it requires more understanding and intensive development, in particular in the thermal behavior area. Such understanding of the FC requires many large-scale simulations that can take unacceptably large execution time. This is especially true when using traditional models that are governed by heat equations and based on computational tools that derive approximate solutions to partial differential equations. Such multimodel systems also require synchronization that results in overhead. Instead, in this paper, a new fully integrated modeling approach that lends itself to parallelism is introduced. This approach can benefit from advances in parallel computing, and thus dramatically reduce time and enable multiple large simulations. This is called the global nodal method, which is intended to analyze and simulate the thermal behavior of PEMFCs. Parallel simulations are implemented with the message passing interface (MPI) and using the unified parallel C (UPC) language on parallel systems. It will be shown that computation time to conduct thermal behavior in large-scale simulation using MPI and UPC is significantly reduced compared to sequential simulations, and obtained data are highly precise and accurate. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5552146&sortType%3Das [...] [article] Modeling and simulation of PEM fuel cell thermal behavior on parallel computers [texte imprimé] / Salah, A., Auteur ; Gaber, J., Auteur ; Outbib, R., Auteur . - 2011 . - pp. 768 - 777.
energy conversion
Langues : Anglais (eng)
in IEEE transactions on energy conversion > Vol. 25, N° 3 (Septembre 2010) . - pp. 768 - 777
Mots-clés : C language; message passing; partial differential equations; power engineering computing; proton exchange membrane fuel cells; synchronisation Résumé : Proton exchange membrane fuel cells (PEMFCs) have aroused great interest in recent years, in particular for transportation applications. However, fuel cell (FC) technology is not yet ready for large-scale commercial use, as it requires more understanding and intensive development, in particular in the thermal behavior area. Such understanding of the FC requires many large-scale simulations that can take unacceptably large execution time. This is especially true when using traditional models that are governed by heat equations and based on computational tools that derive approximate solutions to partial differential equations. Such multimodel systems also require synchronization that results in overhead. Instead, in this paper, a new fully integrated modeling approach that lends itself to parallelism is introduced. This approach can benefit from advances in parallel computing, and thus dramatically reduce time and enable multiple large simulations. This is called the global nodal method, which is intended to analyze and simulate the thermal behavior of PEMFCs. Parallel simulations are implemented with the message passing interface (MPI) and using the unified parallel C (UPC) language on parallel systems. It will be shown that computation time to conduct thermal behavior in large-scale simulation using MPI and UPC is significantly reduced compared to sequential simulations, and obtained data are highly precise and accurate. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5552146&sortType%3Das [...]