In-situ temperature monitoring directly from cathode surface of an operating solid oxide fuel cell

Guk, Erdogan; Ranaweera, Manoj Prasanna; Venkatesan, V.; Kim, Jung-Sik; Jung, WooChul

doi:10.1016/j.apenergy.2020.116013

Cited by 11 publications

(2 citation statements)

References 26 publications

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“…In contrast to modeling, approaches determining temperature distributions by measurements demand a high experimental and constructive effort and are thus only scarcely demonstrated in literature. Works that go through the endeavor mostly employ thermocouples [199,210], while integrated thermocouple arrays [211] and fiber optical sensors [212] are also proposed.…”

Section: Thermal Modelingmentioning

confidence: 99%

High Temperature Solid Oxide Electrolysis – Technology and Modeling

Mueller,

Klinsmann,

Sauter

et al. 2023

Chemie Ingenieur Technik

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In the global quest to renounce from fossil fuels, a large demand for the renewable production of hydrogen via water electrolysis exists. In this context, the solid oxide electrolyzer (SOE) is an interesting technology due to its high efficiency resulting from elevated operating temperatures of up to 900 °C. Physical modeling plays a vital role in the development of SOEs, as it lowers experimental costs and provides insight where measurements reach limits. A main challenge for modeling SOEs is the multitude of physical effects, occurring and interacting on various spatial and temporal scales. This requires assumptions and simplifications, particularly when increasing scope and dimensions of a model. In this review, we discuss the different approaches currently available in literature.

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Section: Thermal Modelingmentioning

confidence: 99%

High Temperature Solid Oxide Electrolysis – Technology and Modeling

Mueller,

Klinsmann,

Sauter

et al. 2023

Chemie Ingenieur Technik

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“…Fuel cells have various categories that the Solid Oxide Fuel Cells (SOFCs) have drawn into incredible consideration in recent years [4]. Guk et al [5] expressed that for acquiring better knowledge into the SOFC efficiency, the most significant factor to consider is the electrode temperature dispensation. In this way, to gauge the cathode and anode temperature dispensation from a functioning SOFC, they introduced a new cell-incorporated multi-intersection thermocouple cluster.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Mathematical Attitude Utilizing Fully Fuzzy BWM and Fuzzy WASPAS for Risk Evaluation in a SOFC

et al. 2021

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Nowadays, because of the energy crisis, combined heat and power systems have notable benefits. One of the best devices is SOFC (Solid Oxide Fuel Cell) which joins heat and power frameworks. Some considerable failure modes arise that can affect these devices’ productivity. Generally, failure modes evaluations need an experts team to achieve uncertainties belongs to the risk assessment procedure. To improve the efficiency of the routine FMEA methodology and to represent a suitable hybrid fuzzy MCDM approach for FMEA, in this work, fully fuzzy best-worst method (FF-BWM) is employed to achieve the risk factors weights then fuzzy weighted aggregated sum product assessment (F-WASPAS) approach to detect the failure modes priorities is utilized. Ultimately, the sensitivity analyses demonstrate that the offered framework is verified and can make applicable data in risk management decision-making evaluation.

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