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Advanced Methods of Solid Oxide Fuel Cell Modeling
Kategorie	Beschreibung
036a	XA-GB
037b	eng
077a	348066805 Buchausg. u.d.T.: ‡Milewski, Jarosław: Advanced methods of solid oxide fuel cell modeling
087q	978-0-85729-261-2
100	Milewski, Jarosław
104b	Świrski, Konrad
108b	Santarelli, Massimo
112b	Leone, Pierluigi
331	Advanced Methods of Solid Oxide Fuel Cell Modeling
410	London
412	Springer-Verlag London Limited
425	2011
425a	2011
433	Online-Ressource (XIV, 217p. 209 illus., 39 illus. in color, digital)
451b	Green Energy and Technology
501	Includes bibliographical references and index
527	Buchausg. u.d.T.: ‡Milewski, Jarosław: Advanced methods of solid oxide fuel cell modeling
540a	ISBN 978-0-85729-262-9
700	\|PBWH
700	\|TBJ
700	\|MAT003000
700	\|TEC009060
700b	\|003.3
700c	\|TA342-343
700g	1271549832 VN 6050
750	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.
012	339787104
081	Milewski, Jaroslaw: Advanced Methods of Solid Oxide Fuel Cell Modeling
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-0-85729-262-9