9780857292612 - advanced methods of solid oxide fuel cell modeling di milewski, jaros¿aw; leone, pierluigi; santarelli, massimo; ¿wirski, konrad (8 risultati)
Advanced Methods of Solid Oxide Fuel Cell Modeling (Green Energy and Technology)
Milewski, Jarosław; Świrski, Konrad; Santarelli, Massimo; Leone, Pierluigi
Lingua: Inglese
Editore: Springer, 2011
Serie: Green Energy and Technology, Libro 24 di 432. Libro 24 di 432 - Green Energy and Technology
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Condizione: New. In.
Lingua: Inglese
Editore: Springer Verlag, 2011
Serie: Green Energy and Technology, Libro 24 di 432. Libro 24 di 432 - Green Energy and Technology
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Hardcover. Condizione: Brand New. 217 pages. 9.00x6.00x0.75 inches. In Stock.
Lingua: Inglese
Editore: Springer, Springer London, 2011
Serie: Green Energy and Technology, Libro 24 di 432. Libro 24 di 432 - Green Energy and Technology
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Buch. Condizione: 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 proce…ss 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.
Advanced Methods of Solid Oxide Fuel Cell Modeling (Green Energy and Technology)
Milewski, Jaroslaw, Swirski, Konrad, Santarelli, Massimo, Le
Lingua: Inglese
Editore: Springer, 2011
Serie: Green Energy and Technology, Libro 24 di 432. Libro 24 di 432 - Green Energy and Technology
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Hardcover. Condizione: Like New. Like New. book.
Lingua: Inglese
Editore: Springer, 2011
Serie: Green Energy and Technology, Libro 24 di 432. Libro 24 di 432 - Green Energy and Technology
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer London Mrz 2011, 2011
Serie: Green Energy and Technology, Libro 24 di 432. Libro 24 di 432 - Green Energy and Technology
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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 th…e 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
Lingua: Inglese
Editore: Springer London, 2011
Serie: Green Energy and Technology, Libro 24 di 432. Libro 24 di 432 - Green Energy and Technology
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: 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 descript…ion of modern fuel cell theory.
Lingua: Inglese
Editore: Springer, Springer London Mär 2011, 2011
Serie: Green Energy and Technology, Libro 24 di 432. Libro 24 di 432 - Green Energy and Technology
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: 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 ph…ysical 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.
