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| Hauptseite > Publikationsdatenbank > On the origin of degradation in fuel cells and its fast identification by applying unconventional online-monitoring tools > print |
| Hauptseite > Publikationsdatenbank > On the origin of degradation in fuel cells and its fast identification by applying unconventional online-monitoring tools > print |
| 001 | 878313 | ||
| 005 | 20240712113254.0 | ||
| 024 | 7 | _ | |a 10.1016/j.apenergy.2020.115603 |2 doi |
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| 100 | 1 | _ | |a Subotić, Vanja |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a On the origin of degradation in fuel cells and its fast identification by applying unconventional online-monitoring tools |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2020 |b Elsevier Science |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a The key advantage of solid oxide fuel cells (SOFC) – high fuel flexibility – still remains the main challenge disturbing their stability, reliability and durability. Specific operating conditions induce and accelerate various degradation mechanisms and reduce the overall fuel cell lifetime. Identifying and predicting the onset of degradation at the preliminary stage is of crucial importance, in order to provoke appropriate countermeasures and to prolong the service time of the fuel cell technology. This is not possible when using available conventional monitoring tools. When employing appropriate online-monitoring tools the principle of which differs from the most common measurement of a linear stationary system, relevant information about the occurring failure modes can be obtained. An example for it is a total harmonic distortion (THD) tool, which is based on identification of the system non-linearity and its alternation from the stable state. Taking this into account, this study moves from the traditional concepts and we show that: (i) non-conventional methodologies can be used to identify relevant failure modes at their preliminary stage, (ii) it is possible to in-operando differentiate individual degradation mechanisms, and (iii) advanced unconventional online-monitoring tools are time-efficient and required measuring time can be reduced by factor up to 20. |
| 536 | _ | _ | |a 135 - Fuel Cells (POF3-135) |0 G:(DE-HGF)POF3-135 |c POF3-135 |f POF III |x 0 |
| 536 | _ | _ | |a SOFC - Solid Oxide Fuel Cell (SOFC-20140602) |0 G:(DE-Juel1)SOFC-20140602 |c SOFC-20140602 |f SOFC |x 1 |
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| 700 | 1 | _ | |a Menzler, Norbert H. |0 P:(DE-Juel1)129636 |b 1 |
| 700 | 1 | _ | |a Lawlor, Vincent |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Fang, Qingping |0 P:(DE-Juel1)145945 |b 3 |
| 700 | 1 | _ | |a Pofahl, Stefan |0 0000-0003-0975-7635 |b 4 |
| 700 | 1 | _ | |a Harter, Philipp |0 0000-0003-3643-3249 |b 5 |
| 700 | 1 | _ | |a Schroettner, Hartmuth |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Hochenauer, Christoph |0 0000-0001-8739-5217 |b 7 |
| 773 | _ | _ | |a 10.1016/j.apenergy.2020.115603 |g Vol. 277, p. 115603 - |0 PERI:(DE-600)2000772-3 |p 115603 - |t Applied energy |v 277 |y 2020 |x 0306-2619 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/878313/files/1-s2.0-S0306261920311107-main.pdf |
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