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Reduced modelling of planar fuel cel...

Birgersson, Karl Erik.

Reduced modelling of planar fuel cellsspatial smoothing and asymptotic reduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reduced modelling of planar fuel cellsby Zhongjie He, Hua Li, Karl Erik Birgersson.
Reminder of title:	spatial smoothing and asymptotic reduction /
Author:	He, Zhongjie.
other author:	Li, Hua.
Published:	Cham :Springer International Publishing :2017.
Description:	xxiv, 291 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Fuel cellsMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-3-319-42646-4
ISBN:	9783319426464$q(electronic bk.)

Reduced modelling of planar fuel cellsspatial smoothing and asymptotic reduction /
He, Zhongjie.

Reduced modelling of planar fuel cellsspatial smoothing and asymptotic reduction /[electronic resource] :by Zhongjie He, Hua Li, Karl Erik Birgersson. - Cham :Springer International Publishing :2017. - xxiv, 291 p. :ill., digital ;24 cm.

1 -- Introduction. 2 -- Full 3D Modeling of Planar Fuel Cells. 3 -- Development of Reduced PEMFC Models. 4 -- development of Reduced P-SOFC Models. 5 -- Integrated Stochastic and Deterministic Sensitivity Analysis of Cell and Stack Performances. 6 -- Conclusions.

This book focuses on novel reduced cell and stack models for proton exchange membrane fuel cells (PEMFCs) and planar solid oxide fuel cells (P-SOFCs) that serve to reduce the computational cost by two orders of magnitude or more with desired numerical accuracy, while capturing both the average properties and the variability of the dependent variables in the 3D counterparts. The information provided can also be applied to other kinds of plate-type fuel cells whose flow fields consist of parallel plain channels separated by solid ribs. These fast and efficient models allow statistical sensitivity analysis for a sample size in the order of 103 without prohibitive computational cost to be performed to investigate not only the individual, but also the simultaneous effects of a group of varying geometrical, material, and operational parameters. This provides important information for cell/stack design, and to illustrate this, Monte Carlo simulation of the reduced P-SOFC model is conducted at both the single-cell and stack levels.

ISBN: 9783319426464$q(electronic bk.)

Standard No.: 10.1007/978-3-319-42646-4doiSubjects--Topical Terms:

536362
Fuel cells
--Mathematical models.

LC Class. No.: TK2931 / .H49 2017

Dewey Class. No.: 621.312429

Reduced modelling of planar fuel cellsspatial smoothing and asymptotic reduction /
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100 1 $a He, Zhongjie. $3 772120
245 1 0 $a Reduced modelling of planar fuel cells $h [electronic resource] : $b spatial smoothing and asymptotic reduction / $c by Zhongjie He, Hua Li, Karl Erik Birgersson.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xxiv, 291 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1 -- Introduction. 2 -- Full 3D Modeling of Planar Fuel Cells. 3 -- Development of Reduced PEMFC Models. 4 -- development of Reduced P-SOFC Models. 5 -- Integrated Stochastic and Deterministic Sensitivity Analysis of Cell and Stack Performances. 6 -- Conclusions.
520 $a This book focuses on novel reduced cell and stack models for proton exchange membrane fuel cells (PEMFCs) and planar solid oxide fuel cells (P-SOFCs) that serve to reduce the computational cost by two orders of magnitude or more with desired numerical accuracy, while capturing both the average properties and the variability of the dependent variables in the 3D counterparts. The information provided can also be applied to other kinds of plate-type fuel cells whose flow fields consist of parallel plain channels separated by solid ribs. These fast and efficient models allow statistical sensitivity analysis for a sample size in the order of 103 without prohibitive computational cost to be performed to investigate not only the individual, but also the simultaneous effects of a group of varying geometrical, material, and operational parameters. This provides important information for cell/stack design, and to illustrate this, Monte Carlo simulation of the reduced P-SOFC model is conducted at both the single-cell and stack levels.
650 0 $a Fuel cells $x Mathematical models. $3 536362
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650 2 4 $a Physics of Energy Technology. $3 760099
650 2 4 $a Renewable and Green Energy. $3 309696
650 2 4 $a Environmental Economics. $3 274365
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 274070
700 1 $a Li, Hua. $3 483917
700 1 $a Birgersson, Karl Erik. $3 772121
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42646-4
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