Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Reduced modelling of planar fuel cel...
~
Birgersson, Karl Erik.
Reduced modelling of planar fuel cells = spatial smoothing and asymptotic reduction /
Record Type:
Language materials, printed : 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.;
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 cells
spatial 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:
811023
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 /
LDR
:02289nam a2200313 a 4500
001
957827
003
DE-He213
005
20161226103918.0
006
m d
007
cr nn 008maaau
008
201118s2017 gw s 0 eng d
020
$a
9783319426464
$q
(electronic bk.)
020
$a
9783319426457
$q
(paper)
024
7
$a
10.1007/978-3-319-42646-4
$2
doi
035
$a
978-3-319-42646-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK2931
$b
.H49 2017
072
7
$a
THRH
$2
bicssc
072
7
$a
TEC031000
$2
bisacsh
082
0 4
$a
621.312429
$2
23
090
$a
TK2931
$b
.H432 2017
100
1
$a
He, Zhongjie.
$3
1249650
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 :
$c
2017.
$b
Springer International Publishing :
$b
Imprint: Springer,
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
811023
650
1 4
$a
Energy.
$3
784773
650
2 4
$a
Energy Storage.
$3
784791
650
2 4
$a
Physics of Energy Technology.
$3
1113680
650
2 4
$a
Renewable and Green Energy.
$3
683875
650
2 4
$a
Environmental Economics.
$3
668788
650
2 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
669172
700
1
$a
Li, Hua.
$3
768662
700
1
$a
Birgersson, Karl Erik.
$3
1249651
710
2
$a
SpringerLink (Online service)
$3
593884
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)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login