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Advanced Methods of Solid Oxide Fuel Cell Modeling (Record no. 10028)

000 -LEADER
fixed length control field 03314nam a22004815i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310143330.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110303s2011 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780857292629
978-0-85729-262-9
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 003.3
Edition number 23
264 #1 -
-- London :
-- Springer London,
-- 2011.
912 ## -
-- ZDB-2-ENG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Milewski, Jarosław.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Advanced Methods of Solid Oxide Fuel Cell Modeling
Medium [electronic resource] /
Statement of responsibility, etc by Jarosław Milewski, Konrad Świrski, Massimo Santarelli, Pierluigi Leone.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 218 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Green Energy and Technology,
International Standard Serial Number 1865-3529
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 2. Theory -- 3. Advanced Methods in Mathematical Modeling -- 4. Experimental Investigation -- 5. SOFC Modeling.
520 ## - SUMMARY, ETC.
Summary, etc 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 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Chemical engineering.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Production of electric energy or power.
Topical term or geographic name as entry element Mathematics.
Topical term or geographic name as entry element Mathematical Modeling and Industrial Mathematics.
Topical term or geographic name as entry element Industrial Chemistry/Chemical Engineering.
Topical term or geographic name as entry element Power Electronics, Electrical Machines and Networks.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Świrski, Konrad.
Relator term author.
Personal name Santarelli, Massimo.
Relator term author.
Personal name Leone, Pierluigi.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9780857292612
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-85729-262-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-03-27AUM Main Library2014-03-27 2014-03-27 E-Book   AUM Main Library003.3
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