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@ARTICLE{Suboti:885781,
author = {Subotić, Vanja and Thaller, Thomas and Königshofer,
Benjamin and Menzler, Norbert H. and Bucher, Edith and
Egger, Andreas and Hochenauer, Christoph},
title = {{P}erformance assessment of industrial-sized solid oxide
cells operated in a reversible mode: {D}etailed numerical
and experimental study},
journal = {International journal of hydrogen energy},
volume = {45},
number = {53},
issn = {0360-3199},
address = {New York, NY [u.a.]},
publisher = {Elsevier},
reportid = {FZJ-2020-04082},
pages = {29166 - 29185},
year = {2020},
abstract = {Reversible solid oxide cells (rSOCs) present a unique
possibility in comparison to other available technologies to
generate electricity, heat and valuable fuels in one system,
in a highly-efficient manner. The major issue hindering
their commercialization are system reliability and
durability. A detailed understanding of the processes and
mechanisms that occur within rSOCs of industrial-size, is of
critical importance for addressing this challenge. This
study provides in-depth insight into behavior of large
planar rSOCs based on a comprehensive experimental and
numerical study. All the numerical data obtained are
validated with the in-house made cells and experiments. The
sensitivity analysis, which covers a wide range of operating
conditions relevant for industrial-sized systems, such as
varying operating temperature, H2/H2O-ratio, operating
current etc., provides very good accordance of the cell
performance measured and simulated. It reveals that lowering
fuel volume and thus causing fuel starvation has more
pronounced effect in an electrolysis mode, which is visible
in both the low-frequency and the middle-frequency range.
Moreover, both co- and counter-flow are appropriate for the
reversible operation. However, more uniform current density
distribution is achievable for the counter-flow, which is of
crucial importance for the real system design. The most
accurate performance prediction can be achieved when
dividing the cell into 15 segments. Slightly lower accuracy
is reached by logarithmic averaging the fuel compositions,
thus reducing the calculation time required. A
computationally- and time-efficient model with very precise
performance prediction for industrial-sized cells is thus
developed and validated.},
cin = {IEK-1},
ddc = {620},
cid = {I:(DE-Juel1)IEK-1-20101013},
pnm = {135 - Fuel Cells (POF3-135) / SOFC - Solid Oxide Fuel Cell
(SOFC-20140602)},
pid = {G:(DE-HGF)POF3-135 / G:(DE-Juel1)SOFC-20140602},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000579568300080},
doi = {10.1016/j.ijhydene.2020.07.165},
url = {https://juser.fz-juelich.de/record/885781},
}