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In-situ monitoring of temperature distribution in operating solid oxide fuel cell cathode using proprietary sensory techniques versus commercial thermocouples

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  • Guk, Erdogan
  • Kim, Jung-Sik
  • Ranaweera, Manoj
  • Venkatesan, Vijay
  • Jackson, Lisa

Abstract

Real time surface temperature distribution monitoring of Solid Oxide Fuel Cell (SOFC) systems is important to identify temperature related degradation and understand cell performance. This type of monitoring is limited due to the harsh operating environment of SOFC. Therefore, the temperature variation of an operating SOFC is generally predicted by applying modelling tools which take into account the conventional I-V (current (I)-voltage (V)) curve. However, experimentally obtained temperature data is vital for management of high temperature related degradation and for more reliable modelling of the SOFC. In this study, the temperature distribution of the SOFC is in-situ monitored along the entire cell cathode simultaneously, using commercial TCs on the gas flow channel (the present conventional method) alongside the in-house-developed sensor sensing points (SSPs) directly from the cell cathode surface under both open circuit voltage (OCV) and loading conditions. A considerable difference is observed, especially under the loading condition, between the temperature obtained from the TCs and SSPs even from the same locations. Furthermore, the contribution(s) of different parameters on the temperature variation are investigated, including fuel/air amount under OCV, gas cooling effect, contact area effect and flow direction effect under the loading condition for the given SOFC. There is a fivefold increase in spatial resolution, alongside higher temporal resolution, being observed with the implemented sensor compared to the resolution obtained from the conventional TCs, which yields promise for further development and investigation into test cells and stacks.

Suggested Citation

  • Guk, Erdogan & Kim, Jung-Sik & Ranaweera, Manoj & Venkatesan, Vijay & Jackson, Lisa, 2018. "In-situ monitoring of temperature distribution in operating solid oxide fuel cell cathode using proprietary sensory techniques versus commercial thermocouples," Applied Energy, Elsevier, vol. 230(C), pages 551-562.
    • Handle: RePEc:eee:appene:v:230:y:2018:i:c:p:551-562
    DOI: 10.1016/j.apenergy.2018.08.120
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    References listed on IDEAS

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    Cited by:

    1. Königshofer, Benjamin & Boškoski, Pavle & Nusev, Gjorgji & Koroschetz, Markus & Hochfellner, Martin & Schwaiger, Marcel & Juričić, Đani & Hochenauer, Christoph & Subotić, Vanja, 2021. "Performance assessment and evaluation of SOC stacks designed for application in a reversible operated 150 kW rSOC power plant," Applied Energy, Elsevier, vol. 283(C).
    2. Lee, Wooseok & Bae, Yonggyun & Lee, Sanghyeok & Hong, Jongsup, 2024. "Elucidating the dynamic transport phenomena of solid oxide fuel cells according to rapid electrical load change operation," Applied Energy, Elsevier, vol. 359(C).
    3. Guk, Erdogan & Ranaweera, Manoj & Venkatesan, Vijay & Kim, Jung-Sik & Jung, WooChul, 2020. "In-situ temperature monitoring directly from cathode surface of an operating solid oxide fuel cell," Applied Energy, Elsevier, vol. 280(C).
    4. Guk, Erdogan & Venkatesan, Vijay & Babar, Shumaila & Jackson, Lisa & Kim, Jung-Sik, 2019. "Parameters and their impacts on the temperature distribution and thermal gradient of solid oxide fuel cell," Applied Energy, Elsevier, vol. 241(C), pages 164-173.
    5. Preininger, Michael & Stoeckl, Bernhard & Subotić, Vanja & Mittmann, Frank & Hochenauer, Christoph, 2019. "Performance of a ten-layer reversible Solid Oxide Cell stack (rSOC) under transient operation for autonomous application," Applied Energy, Elsevier, vol. 254(C).
    6. BahooToroody, Ahmad & De Carlo, Filippo & Paltrinieri, Nicola & Tucci, Mario & Van Gelder, P.H.A.J.M., 2020. "Bayesian regression based condition monitoring approach for effective reliability prediction of random processes in autonomous energy supply operation," Reliability Engineering and System Safety, Elsevier, vol. 201(C).

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