Mathematical modeling and simulation of hydrogen-fueled solid oxide fuel cell system for micro-grid applications - Effect of failure and degradation on transient performance

Colombo, Konrad W. Eichhorn; Хартон, В.В.; Berto, Filippo; Paltrinieri, Nicola

doi:10.1016/j.energy.2020.117752

Cited by 13 publications

(3 citation statements)

References 65 publications

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“…Eichhorn Colombo et al [81] employed a detailed solid oxide fuel cell (SOFC) model for micro-grid applications to analyze the effect of failure and degradation on system performance. They presented the design and operational constraints on a componentand system level.…”

Section: Computational Simulations Of Sofcmentioning

confidence: 99%

Simulation and Sensitivity Analysis for Various Geometries and Optimization of Solid Oxide Fuel Cells: A Review

Tonekabonimoghaddam

Shamiri²

2021

Eng

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Solid oxide fuel cells (SOFCs) are considered as one of the most promising fuel cell types for application as high efficiency power generators. This work reviews the use of computational fluid dynamics (CFD) to maximise SOFC performance and life, and minimise cost, by considering numerous configurations and designs. A critical analysis of available literature proves that detailed research on the simulation of thermal stress and its damaging impact on the SOFC is still in its early stage of development. Numerical simulation is expected to help optimize the design, operating parameters and fuel cell materials. Therefore, sensitivity analysis of fuel cell parameters using simulation models is analysed to address the issue. Finally, the present status of the SOFC optimization efforts is summarized so that unresolved problems can be identified and solved.

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Section: Computational Simulations Of Sofcmentioning

confidence: 99%

Simulation and Sensitivity Analysis for Various Geometries and Optimization of Solid Oxide Fuel Cells: A Review

Tonekabonimoghaddam

Shamiri²

2021

Eng

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“…Based on the results of the proposed NN model structure obtained during the learning phase, the second half samples were used to estimate the RUL of the SOFC system. From the literature, the SOFC stack failures can be explained as the water vapor produced by the cathode, preventing the delivery capability of ambient air, or the compound produced by the anode, leading to the degradation of the SOFC system [36,37]. In order to protect the SOFC system and adopt timely mitigation actions, a critical threshold, a little higher than the failure threshold, should be defined in advance.…”

Section: Remaining Useful Lifetime Inferencementioning

confidence: 99%

Data-Driven Prognostics of the SOFC System Based on Dynamic Neural Network Models

Cheng

Chang

et al. 2021

Energies

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Prognostics technology is important for the sustainability of solid oxide fuel cell (SOFC) system commercialization, i.e., through failure prevention, reliability assessment, and the remaining useful life (RUL) estimation. To solve SOFC system issues, data-driven prognostics methods based on the dynamic neural network (DNN), one of non-linear models, were investigated in this study. Based on DNN model types, the neural network autoregressive (NNARX) model with external inputs, the neural network autoregressive moving average (NNARMAX) model with external inputs, and the neural network output error (NNOE) were utilized to predict the degradation trend and estimate the RUL. First, the degradation trend prediction was executed to evaluate the correctness of the proposed DNN model structures in the first learning phase. Then, the RUL was estimated on the basis of the degradation trend of the NN models in the second inference phase. The comparison test results show the prediction accuracy of the NNARX model is higher and the RUL estimation can be given within a smaller relative error than the NNARMAX and NNOE models. The evaluation criteria of the root mean square error and mean absolute error of the NNARX model are the smallest among these three models. Therefore, the proposed NNARX model can effectively and precisely provide degradation trend prediction and RUL estimation of the SOFC system.

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“…Similarly, understanding the impact of hydrogen accumulation within the structure of ceramic fuel cells (CFCs) holds great significance, addressing both fundamental and practical considerations. This knowledge is crucial for assessing the CFC's durability and its ability to withstand hydrogenation, gas expansion, and embrittlement processes [12,13]. One of the ways to assess the resistance of ceramics to hydrogenation processes is to simulate these processes by irradiation with protons with a high irradiation fluence (10 14 -10 15 proton/cm 2 ), which can lead to the formation of structural distortions and deformations characteristic of the accumulation of hydrogen in ceramics and the subsequent influence on the properties of materials.…”

Section: Introductionmentioning

confidence: 99%

The Effect of the Addition of Aluminum Nitride to the Composition of NiAl2O4 Ceramics on Hydrogenation Processes and the Increase in Resistance to Swelling and Degradation

Kozlovskiy

2023

Ceramics

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This work examines the effects of the formation of impurity inclusions in the structure of NiAl2O4 ceramics when aluminum nitride is added to them and the occurrence of a reinforcement effect that prevents hydrogenation processes and the subsequent destruction of conductive and thermophysical characteristics. The appeal of ceramics possessing a spinel crystal structure lies in their potential use as ceramic fuel cells for both hydrogen generation and storage. Simultaneously, addressing the challenges related to ceramic degradation during hydrogenation, a critical aspect of hydrogen production, can enhance the efficiency of these ceramics while lowering electricity production costs. The selection of aluminum nitride as an additive for ceramic modification is based on its remarkable resistance to structural damage accumulation, its potential to enhance resistance to high-temperature degradation, and its ability to bolster strength properties. Moreover, an examination of the alterations in the strength characteristics of the examined samples subjected to hydrogenation reveals that the stability of two-phase ceramics is enhanced by more than three to five times compared to the initial ceramics (those without the addition of AlN). Additionally, it was noted that the most significant alterations in both structure and strength become apparent at irradiation fluences exceeding 1014 proton/cm2, where atomic displacements in the damaged ceramic layer reach over 5 dpa. During the evaluation of thermophysical properties, it was discerned that ceramics featuring an impurity phase in their composition exhibit the highest stability. These ceramics demonstrated a reduction in the thermal conductivity coefficient of less than 1% at the peak irradiation fluence.

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Mathematical modeling and simulation of hydrogen-fueled solid oxide fuel cell system for micro-grid applications - Effect of failure and degradation on transient performance

Cited by 13 publications

References 65 publications

Simulation and Sensitivity Analysis for Various Geometries and Optimization of Solid Oxide Fuel Cells: A Review

Simulation and Sensitivity Analysis for Various Geometries and Optimization of Solid Oxide Fuel Cells: A Review

Data-Driven Prognostics of the SOFC System Based on Dynamic Neural Network Models

The Effect of the Addition of Aluminum Nitride to the Composition of NiAl2O4 Ceramics on Hydrogenation Processes and the Increase in Resistance to Swelling and Degradation

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