Advanced methods of solid oxide fuel cell modeling
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 det...
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| Auteurs principaux: | , , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2011. |
| Collection: | Green Energy and Technology
|
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advanced Methods of Solid Oxide Fuel Cell Modeling, Texte imprimé, 9780857292612 • Advanced Methods of Solid Oxide Fuel Cell Modeling, Texte imprimé, 9781447126409 • Advanced Methods of Solid Oxide Fuel Cell Modeling, Texte imprimé, 9780857292636 |
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| 100 | 1 | |a Milewski, Jarosław. | |
| 245 | 1 | 0 | |a Advanced methods of solid oxide fuel cell modeling |c by Jarosław Milewski, Konrad Świrski, Massimo Santarelli, Pierluigi Leone. |
| 250 | |a 1st ed. 2011. | ||
| 260 | |a London : |b Springer London. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Green Energy and Technology |x 1865-3537 | |
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| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 1. Introduction 2. Theory 3. Advanced Methods in Mathematical Modeling 4. Experimental Investigation 5. SOFC Modeling. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 700 | 1 | |a Świrski, Konrad, |d 19..- |4 aut | |
| 700 | 1 | |a Santarelli, Massimo. |4 aut | |
| 700 | 1 | |a Leone, Pierluigi. |4 aut | |
| 776 | 0 | |t Advanced Methods of Solid Oxide Fuel Cell Modeling |b Texte imprimé |z 9780857292612 | |
| 776 | 0 | |t Advanced Methods of Solid Oxide Fuel Cell Modeling |b Texte imprimé |z 9781447126409 | |
| 776 | 0 | |t Advanced Methods of Solid Oxide Fuel Cell Modeling |b Texte imprimé |z 9780857292636 | |
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