Green energy and technology - 9780857292612 - advanced methods of solid oxide fuel cell modeling (green energy and technology) de milewski, jaroslaw; świrski, konrad; santarelli, massimo (8 resultados)
Advanced Methods of Solid Oxide Fuel Cell Modeling (Green Energy and Technology)
Milewski, Jarosław; Świrski, Konrad; Santarelli, Massimo; Leone, Pierluigi
Idioma: Inglés
Editorial: Springer, 2011
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Editorial: Springer, 2011
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fuel cells are widely regarded as the future of the power and transportation industries. Intensive research in this area now requires new methods of fuel cell operation modeling and cell design. Typical mathematical models are based on the physical proces…s description of fuel cells and require a detailed knowledge of the microscopic properties that govern both chemical and electrochemical reactions. Advanced Methods of Solid Oxide Fuel Cell Modeling proposes the alternative methodology of generalized artificial neural networks (ANN) solid oxide fuel cell (SOFC) modeling. Advanced Methods of Solid Oxide Fuel Cell Modeling provides a comprehensive description of modern fuel cell theory and a guide to the mathematical modeling of SOFCs, with particular emphasis on the use of ANNs. Up to now, most of the equations involved in SOFC models have required the addition of numerous factors that are difficult to determine. The artificial neural network (ANN) can be applied to simulate an object's behavior without an algorithmic solution, merely by utilizing available experimental data. The ANN methodology discussed in Advanced Methods of Solid Oxide Fuel Cell Modeling can be used by both researchers and professionals to optimize SOFC design. Readers will have access to detailed material on universal fuel cell modeling and design process optimization, and will also be able to discover comprehensive information on fuel cells and artificial intelligence theory.
Idioma: Inglés
Editorial: Springer Verlag, 2011
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Hardcover. Condición: Brand New. 217 pages. 9.00x6.00x0.75 inches. In Stock.
Advanced Methods of Solid Oxide Fuel Cell Modeling (Green Energy and Technology)
Milewski, Jaroslaw, Swirski, Konrad, Santarelli, Massimo, Le
Idioma: Inglés
Editorial: Springer, 2011
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Editorial: Springer, 2011
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer London Mrz 2011, 2011
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fuel cells are widely regarded as the future of the power and transportation industries. Intensive research in this area now requires new methods of fuel cell operation modeling and cell design. Typical mathematical models are based on the… physical process description of fuel cells and require a detailed knowledge of the microscopic properties that govern both chemical and electrochemical reactions. Advanced Methods of Solid Oxide Fuel Cell Modeling proposes the alternative methodology of generalized artificial neural networks (ANN) solid oxide fuel cell (SOFC) modeling. Advanced Methods of Solid Oxide Fuel Cell Modeling provides a comprehensive description of modern fuel cell theory and a guide to the mathematical modeling of SOFCs, with particular emphasis on the use of ANNs. Up to now, most of the equations involved in SOFC models have required the addition of numerous factors that are difficult to determine. The artificial neural network (ANN) can be applied to simulate an object's behavior without an algorithmic solution, merely by utilizing available experimental data. The ANN methodology discussed in Advanced Methods of Solid Oxide Fuel Cell Modeling can be used by both researchers and professionals to optimize SOFC design. Readers will have access to detailed material on universal fuel cell modeling and design process optimization, and will also be able to discover comprehensive information on fuel cells and artificial intelligence theory. 232 pp. Englisch.
Advanced Methods of Solid Oxide Fuel Cell Modeling
Jaroslaw Milewski|Konrad Swirski|Massimo Santarelli|Pierluigi Leone
Idioma: Inglés
Editorial: Springer London, 2011
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes a method of solid oxide fuel cell (SOFC) modeling that can be implemented easily using commonly available softwareOffers readers the chance to optimize SOFC designProvides a comprehensive description of mode…rn fuel cell theory.
Idioma: Inglés
Editorial: Springer, Springer London Mär 2011, 2011
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 106,99
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Fuel cells are widely regarded as the future of the power and transportation industries. Intensive research in this area now requires new methods of fuel cell operation modeling and cell design. Typical mathematical models are based on the phy…sical process description of fuel cells and require a detailed knowledge of the microscopic properties that govern both chemical and electrochemical reactions. Advanced Methods of Solid Oxide Fuel Cell Modeling proposes the alternative methodology of generalized artificial neural networks (ANN) solid oxide fuel cell (SOFC) modeling.Advanced Methods of Solid Oxide Fuel Cell Modeling provides a comprehensive description of modern fuel cell theory and a guide to the mathematical modeling of SOFCs, with particular emphasis on the use of ANNs. Up to now, most of the equations involved in SOFC models have required the addition of numerous factors that are difficult to determine. The artificial neural network (ANN) can be applied to simulate an object¿s behavior without an algorithmic solution, merely by utilizing available experimental data.The ANN methodology discussed in Advanced Methods of Solid Oxide Fuel Cell Modeling can be used by both researchers and professionals to optimize SOFC design. Readers will have access to detailed material on universal fuel cell modeling and design process optimization, and will also be able to discover comprehensive information on fuel cells and artificial intelligence theory.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.
