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Reduced modelling of planar fuel cel...

He, Zhongjie.

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Reduced modelling of planar fuel cells = spatial smoothing and asymptotic reduction /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reduced modelling of planar fuel cells/ by 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.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Fuel cells - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-42646-4
ISBN:	9783319426464

Reduced modelling of planar fuel cells = spatial 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

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

1374922
Fuel cells
--Mathematical models.

LC Class. No.: TK2931 / .H49 2017

Dewey Class. No.: 621.312429

Reduced modelling of planar fuel cells = spatial smoothing and asymptotic reduction /
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100 1 $a He, Zhongjie. $3 3219477
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 1374922
650 1 4 $a Energy. $3 876794
650 2 4 $a Energy Storage. $3 1532778
650 2 4 $a Physics of Energy Technology. $3 3135160
650 2 4 $a Renewable and Green Energy. $3 928108
650 2 4 $a Environmental Economics. $3 895247
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
700 1 $a Li, Hua. $3 1084500
700 1 $a Birgersson, Karl Erik. $3 3219478
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42646-4
950 $a Energy (Springer-40367)