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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Milewski, Jarosław (Συγγραφέας), Świrski, Konrad (Συγγραφέας), Santarelli, Massimo (Συγγραφέας), Leone, Pierluigi (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2011.
Σειρά:Green Energy and Technology,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03582nam a22005655i 4500
001 978-0-85729-262-9
003 DE-He213
005 20151204182519.0
007 cr nn 008mamaa
008 110303s2011 xxk| s |||| 0|eng d
020 |a 9780857292629  |9 978-0-85729-262-9 
024 7 |a 10.1007/978-0-85729-262-9  |2 doi 
040 |d GrThAP 
050 4 |a TA342-343 
072 7 |a PBWH  |2 bicssc 
072 7 |a TBJ  |2 bicssc 
072 7 |a MAT003000  |2 bisacsh 
072 7 |a TEC009060  |2 bisacsh 
082 0 4 |a 003.3  |2 23 
100 1 |a Milewski, Jarosław.  |e author. 
245 1 0 |a Advanced Methods of Solid Oxide Fuel Cell Modeling  |h [electronic resource] /  |c by Jarosław Milewski, Konrad Świrski, Massimo Santarelli, Pierluigi Leone. 
264 1 |a London :  |b Springer London,  |c 2011. 
300 |a XIV, 218 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Green Energy and Technology,  |x 1865-3529 
505 0 |a 1. Introduction -- 2. Theory -- 3. Advanced Methods in Mathematical Modeling -- 4. Experimental Investigation -- 5. SOFC Modeling. 
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. 
650 0 |a Mathematics. 
650 0 |a Chemical engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Mathematical models. 
650 0 |a Power electronics. 
650 1 4 |a Mathematics. 
650 2 4 |a Mathematical Modeling and Industrial Mathematics. 
650 2 4 |a Industrial Chemistry/Chemical Engineering. 
650 2 4 |a Power Electronics, Electrical Machines and Networks. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Świrski, Konrad.  |e author. 
700 1 |a Santarelli, Massimo.  |e author. 
700 1 |a Leone, Pierluigi.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780857292612 
830 0 |a Green Energy and Technology,  |x 1865-3529 
856 4 0 |u http://dx.doi.org/10.1007/978-0-85729-262-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)