9781447126409 - advanced methods of solid oxide fuel cell modeling (green energy and technology) de milewski, jarosław; świrski, konrad; santarelli, massimo; leone, pierluigi (12 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, 2013
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Idioma: Inglés
Editorial: Springer, 2013
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Condición: New. pp. 232.
Advanced Methods of Solid Oxide Fuel Cell Modeling
Milewski, Jaroslaw/ Swirski, Konrad/ Santarelli, Massimo/ Leone, Pierluigi
Idioma: Inglés
Editorial: Springer Verlag, 2013
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Paperback. Condición: Brand New. 2011 edition. 240 pages. 9.25x6.10x0.55 inches. In Stock.
Idioma: Inglés
Editorial: Springer, 2013
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Taschenbuch. Condición: Neu. Advanced Methods of Solid Oxide Fuel Cell Modeling | Jaros¿aw Milewski (u. a.) | Taschenbuch | Green Energy and Technology | xiv | Englisch | 2013 | Springer | EAN 9781447126409 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]spr…inger[dot]com | Anbieter: preigu.
Idioma: Inglés
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Taschenbuch. 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… 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.
Advanced Methods of Solid Oxide Fuel Cell Modeling (Green Energy and Technology)
Milewski, Jaroslaw, Swirski, Konrad, Santarelli, Massimo, Le
Idioma: Inglés
Editorial: Springer, 2013
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Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Editorial: Springer, 2013
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
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Taschenbuch. 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, 2013
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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, 2013
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. Print on Demand pp. 232.
Idioma: Inglés
Editorial: Springer, 2013
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 232.
Idioma: Inglés
Editorial: Springer London, Springer London Apr 2013, 2013
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 106,99
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Taschenbuch. 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 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 232 pp. Englisch.
