Modeling and analysis of short-period transient response of a single, planar, anode supported, solid oxide fuel cell during load variations

Nerat, Marko

doi:10.1016/j.energy.2017.07.133

Cited by 33 publications

(9 citation statements)

References 32 publications

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“…Nerat et al [20] investigated the dynamic reactions of an SOFC to load fluctuations, which might impact fuel starvation within the porous anode active layer and, as a result, quicken the rate of degradation of the SOFC. Using the local linear model tree technique, Marzooghi et al [21] proposed a dynamic model for SOFC stack that is appropriate for both dynamic and steady-state research.…”

Section: Parminder Singhmentioning

confidence: 99%

Parameter Identification of a Solid Oxide Fuel Cell Model under Different Temperature Conditions

Singh

Sandhu

2023

Chem Eng & Technol

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A new effective method for optimization of unknown parameters in solid oxide fuel cell (SOFC) stack models is suggested. The overall voltage of the SOFC stack depends on these predicted parameters. The goal is to reduce the mean square error (MSE) between the empirical and the predicted polarization curve obtained using the method. Black widow optimization (BWO), a metaheuristic method inspired by nature, describes the minimization process. This algorithm is made to alter the search space, avoid local optima, and deliver greater efficiency in the exploitation and exploration stages. Situations based on multidimensional benchmark functions and SOFC stack temperature variations are investigated to ascertain the system consistency.

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Section: Parminder Singhmentioning

confidence: 99%

Parameter Identification of a Solid Oxide Fuel Cell Model under Different Temperature Conditions

Singh

Sandhu

2023

Chem Eng & Technol

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“…Several studies focus on the cell or stack response to rapid changes in the applied current [49,56,80,183,[247][248][249][250]. Here [248,249] are to highlight as they include both a high spatial and temporal resolution in a 3D channel RPU.…”

Section: Transient Behaviormentioning

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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“…The electrical response time of SOC is constrained by the slow heat and mass transfer processes within the cell 15 , 16 . Varying load changes may result in under-performance, thermal safety concerns, and degradation of SOCs 11 , 17 – 19 . To mitigate these challenges, researchers have proposed several control and design strategies 20 – 24 aimed at facilitating safe operation and improving the inherent transient characteristics of SOCs.…”

Section: Introductionmentioning

confidence: 99%

“…To mitigate these challenges, researchers have proposed several control and design strategies 20 – 24 aimed at facilitating safe operation and improving the inherent transient characteristics of SOCs. For example, Nerat 19 recommended maintaining the anode supporting layer thickness above 0.1 mm to prevent local fuel starvation during the dynamic operation of a planar SOFC, and proposed a load variation rate with a time constant of 50 ms to minimize electrical overshoot. Bae et al 25 emphasized the significance of fuel utilization on the current relaxation time of SOFCs following electrical load changes.…”

Section: Introductionmentioning

confidence: 99%

Discovering two general characteristic times of transient responses in solid oxide cells

Liang,

Wang,

Ren

et al. 2024

Nat Commun

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A comprehensive understanding of the transient characteristics in solid oxide cells (SOCs) is crucial for advancing SOC technology in renewable energy storage and conversion. However, general formulas describing the relationship between SOC transients and multiple parameters remain elusive. Through comprehensive numerical analysis, we find that the thermal and gaseous response times of SOCs upon rapid electrical variations are on the order of two characteristic times (τh and τm), respectively. The gaseous response time is approximately 1τm, and the thermal response time aligns with roughly 2τh. These characteristic times represent the overall heat and mass transfer rates within the cell, and their mathematical relationships with various SOC design and operating parameters are revealed. Validation of τh and τm is achieved through comparison with an in-house experiment and existing literature data, achieving the same order of magnitude for a wide range of electrochemical cells, showcasing their potential use for characterizing transient behaviors in a wide range of electrochemical cells. Moreover, two examples are presented to demonstrate how these characteristic times can streamline SOC design and control without the need for complex numerical simulations, thus offering valuable insights and tools for enhancing the efficiency and durability of electrochemical cells.

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Modeling and analysis of short-period transient response of a single, planar, anode supported, solid oxide fuel cell during load variations

Cited by 33 publications

References 32 publications

Parameter Identification of a Solid Oxide Fuel Cell Model under Different Temperature Conditions

Parameter Identification of a Solid Oxide Fuel Cell Model under Different Temperature Conditions

High Temperature Solid Oxide Electrolysis – Technology and Modeling

Discovering two general characteristic times of transient responses in solid oxide cells

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