A comprehensive 3-D modeling of a single planar solid oxide fuel cell

Nerat, Marko; Juričić, Đani

doi:10.1016/j.ijhydene.2015.11.136

Cited by 47 publications

(18 citation statements)

References 31 publications

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“…T is the temperature in Kelvin (K), p is the pressure in bar (1 bar = 10 5 Pa), M i/j is the molar mass (g mol −1 ) of gas species in the binary mixture, and V i/j is the diffusion volume in cm 3 . Detailed values of M i and V i can be found in one of our previous papers [15]. The S i is calculated at the TPBs, where all three phases (i.e., solid, electrolyte, and gas) meet, otherwise it is zero.…”

Section: Conservation Of Speciesmentioning

confidence: 99%

A Model of Solid Oxide Fuel Cell Degradation on a Microstructural Level

Nerat

2020

Applied Sciences

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The growth of nickel (Ni) particles in the porous anode is one of the most critical issues in solid oxide fuel cells (SOFC). It reduces the density of triple-phase boundaries (TPBs) over time and increases the polarization resistance of SOFC. Most of the three-dimensional models that are used to simulate this phenomenon in detail are numerically exhausting and as such intractable for on-line applications. This work presents a two-dimensional, microstructural model of reduced complexity as a trade-off between the numerical load and the level of detail. The model of Ni agglomeration is based on the power-law coarsening theory. The resulting model was validated by comparing the relative density of TPBs and the cell voltage to the experimentally measured values. It was shown that the calculated values closely fit the measured data. The advantage of the proposed model is that it takes lower computational load during the simulation compared to the complex phase field models and is suitable for estimation of SOFC electric performance over time.

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Section: Conservation Of Speciesmentioning

confidence: 99%

A Model of Solid Oxide Fuel Cell Degradation on a Microstructural Level

Nerat

2020

Applied Sciences

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“…The SCXI module is the NI-specific module designed for all types of signal conditioning, especially for use with M-series capture cards (Pasternak et al 2016). In this system, the SCXI module is mainly used to provide excitation of threewire Pt thermal resistance, cold junction compensation of thermocouple and voltage signal conditioning (Nerat & Đani Juričić 2016).…”

Section: Hardware Devices 231 Data Acquisition Hardware Equipmentmentioning

confidence: 99%

Integrated Parameter Test System for Dual Fuel Engines of Special Heavy Vehicles

2019

IJOMAM

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The comprehensive parameters of a dual-fuel engine for special heavy vehicles directly reflect vehicle performance. This paper takes the Yuchai YC6K420 series of inline six-cylinder CNG/dual fuel engine special heavy-duty vehicles as an example to build the comprehensive parameter test system for the engine. The PXI 6251 capture card is used to acquire engine analog signals. The fuel consumption and gas consumption meters of three German Endress + Hauser (E + H) companies are combined to measure, display and store fuel consumption and gas consumption data. The system data acquisition program mainly includes channel creation, configuration and signal acquisition, which can realize system data reading, filtering conditioning, display and save. The electronic control unit in the system uses the periodic interrupt to send and receive data, and analyzes the data transmitted by the CAN communication module of the controller area network through the data feedback function. The data is restored to its true value and displayed graphically. The test results show that the system can effectively detect the temperature of the vehicle's dual fuel engine. At the same time, it can be learned that the in-cylinder combustion of the dual fuel engine is relatively flat, and the maximum combustion heat release rate is relatively low; when the load and the rotational speed are low, the combustion duration is relatively long. Keeping other conditions constant, reducing only the nozzle flow area is not conducive to improving the combustion characteristics of the dual fuel engine.

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“…Models, such as [16][17][18][19][20][21][22][23]26], model from the electrochemical point of view of only a single reactant component fuel (hydrogen) and neglect the CO, and calculate its effects only via energy balances or via the water-gas shift reaction (WGSR) without addressing the kinetics of electrochemical co-oxidation. On the other end, these models aiming to address multi-component kinetics observed in SOFC are also being developed [24,25,[27][28][29][30][31][32][33][34][35][36][37]; however, they are usually embedded in higher fidelity models [27][28][29][30][31][32][33][34][35][36][37], ranging from 1D+1D [25] over 2D [28,29,31,32,[34][35][36][37] to 3D [29,30]. For a more in-depth review of these and other models, the reader is referred to the review article published by Bao et al [38].…”

Section: Introductionmentioning

confidence: 99%

Closed-Form Formulation of the Thermodynamically Consistent Electrochemical Model Considering Electrochemical Co-Oxidation of CO and H2 for Simulating Solid Oxide Fuel Cells

Kravos

Katrašnik

2022

Catalysts

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Achieving efficient solid oxide fuel cell operation and simultaneous prevention of degradation effects calls for the development of precise on-line monitoring and control tools based on predictive, computationally fast models. The originality of the proposed modelling approach originates from the hypothesis that the innovative derivation procedure enables the development of a thermodynamically consistent multi-species electrochemical model that considers the electrochemical co-oxidation of carbon monoxide and hydrogen in a closed-form. The latter is achieved by coupling the equations for anodic reaction rates with the equation for anodic potential. Furthermore, the newly derived model is capable of accommodating the diffusive transport of gaseous species through the gas diffusion layer, yielding a computationally efficient quasi-one-dimensional model. This resolves a persistent knowledge gap, as the proposed modelling approach enables the modelling of multi-species fuels in a closed form, resulting in very high computational efficiency, and thus enable the model’s real-time capability. Multiple validation steps against polarisation curves with different fuel mixtures confirm the capability of the newly developed model to replicate experimental data. Furthermore, the presented results confirm the capability of the model to accurately simulate outside the calibrated variation space under different operating conditions and reformate mixtures. These functionalities position the proposed model as a beyond state-of-the-art tool for model supported development and control applications.

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A comprehensive 3-D modeling of a single planar solid oxide fuel cell

Cited by 47 publications

References 31 publications

A Model of Solid Oxide Fuel Cell Degradation on a Microstructural Level

A Model of Solid Oxide Fuel Cell Degradation on a Microstructural Level

Integrated Parameter Test System for Dual Fuel Engines of Special Heavy Vehicles

Closed-Form Formulation of the Thermodynamically Consistent Electrochemical Model Considering Electrochemical Co-Oxidation of CO and H2 for Simulating Solid Oxide Fuel Cells

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