Development of practical empirically and statistically-based equations for predicting the temperature characteristics of PEMFC applied in the CCHP system

Zhao, Junjie; Li, Song; Tu, Zhengkai

doi:10.1016/j.ijhydene.2022.12.180

Cited by 8 publications

(4 citation statements)

References 47 publications

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“…This section briefly describes the computational model applied in this investigation. The foundation of our current model is a two-phase model that has been adapted from the literature , to include isotropic transport mechanisms in gas diffusion layers. It is considered that the cell is in a steady state.…”

Section: Numerical Model Developmentmentioning

confidence: 99%

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Analyzing Temperature Distribution, Mass Transport, and Cell Performance in PEM Fuel Cells with Emphasis on GDL Face Permeability and Thermal Contact Resistance Parameters

Binyamin,

Lim

2023

ACS Omega

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Temperature distribution, mass transport, and current density are crucial parameters to characterize the durability and output performance of proton exchange membrane fuel cell (PEMFC), which are affected by thermal contact resistance (TCR) and gas diffusion layer (GDL) face permeability within both cathode and anode GDL porous jumps. This study examined the effects of TCR and GDL face permeability on a single PEM fuel cell’s temperature profiles, mass transport, and cell performance using a three-dimensional, nonisothermal computational model with an isotropic gas diffusion layer (GDL). This model calculates the ideal thermal contact resistance by comparing the expected plate-cathode electrode temperature difference to the numerical and experimental literature. The combined artificial neural network-genetic algorithm (ANN-GA) method is also applied to identify the optimum powers and their operating conditions in six cases. Theoretical findings demonstrate that TCR and suitable GDL face permeability must be considered to optimize the temperature distribution and cell efficiency. TCR and GDL face permeability lead to a 1.5 °C rise in maximum cell temperature at 0.4 V, with a “Λ” shape in temperature profiles. The TCR and GDL face permeability also significantly impacts electrode heat and mass transfer. Case 6 had 1.91, 6.58, and 8.72% higher velocity magnitudes, oxygen mass fractions, and cell performances than case 1, respectively. Besides, the combined ANN-GA method is suitable for predicting fuel cell performance and identifying operation parameters for optimum powers. Therefore, the findings can improve PEM fuel cell performance and give a reference for LT-PEMFC design.

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Section: Numerical Model Developmentmentioning

confidence: 99%

“…According to Zhao et al, − operating PEM fuel cells at an appropriate temperature is imperative. Their experimental verification showed that working the PEMFC at an unsuitable temperature results in a decline in performance and a reduction in the service life of the fuel cell.…”

Section: Introductionmentioning

confidence: 99%

Analyzing Temperature Distribution, Mass Transport, and Cell Performance in PEM Fuel Cells with Emphasis on GDL Face Permeability and Thermal Contact Resistance Parameters

Binyamin,

Lim

2023

ACS Omega

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“…Performance degradation not only affects the efficiency and output power of fuel cells, but also shortens their service life and increases maintenance and replacement costs [15]. Therefore, the accurate prediction of fuel cell performance degradation has important theoretical and practical significance [16].…”

Section: Introductionmentioning

confidence: 99%

The Degradation Prediction of Proton Exchange Membrane Fuel Cell Performance Based on a Transformer Model

Meng,

Mei,

Tang

et al. 2024

Energies

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Proton exchange membrane fuel cells have attracted widespread attention due to their cleanliness and high energy density, but the performance degradation during operation greatly limits their commercialization. Therefore, the reliable degradation prediction of fuel cell performance is of great significance. The recovery phenomenon of the reversible voltage loss that occurs during the operation of fuel cells has posed great difficulties for model training and prediction. Moreover, the models may easily and erroneously learn the combined trends in the recovery of reversible voltage loss and performance degradation. To address this issue, this paper employs the Transformer model to predict the performance degradation of fuel cells. By utilizing the unique self-attention structure and masking mechanism of the Transformer model, the signal for the recovery of the reversible voltage loss is adopted as the input for the model to avoid interference from information before voltage recovery on subsequent predictions. Experimental results show that the model has the highest prediction accuracy at various prediction starting points. Meanwhile, it can predict the accelerated performance degradation of fuel cells, which has positive implications for health management.

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“…Lately, experimental results have been developed to examine the performance of the PEMFC in different operational conditions. For instance, Tai et al [28] designed an experimental setup to predict the temperature behavior of the PEMFC in a CCHP cycle. In another work, Li et al [29] studied the effect of the flow channel parameters on the Mathematics 2023, 11, 4094 3 of 25 durability of a PEMFC stack.…”

Section: Introductionmentioning

confidence: 99%

An Innovative Approach to Predict the Diffusion Rate of Reactant’s Effects on the Performance of the Polymer Electrolyte Membrane Fuel Cell

Ahmadi,

Rezazadeh

2023

Mathematics

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As the analytical solution can provide much more accurate and reliable results in a short time, in the present study, an innovative analytical approach based on the perturbation method is proposed. The governing equations, which consist of continuity, momentum, species, and energy equations, are solved analytically by using the regular perturbation method. The perturbation parameter is the function of the penetration (diffusion) velocity. At first, the momentum and continuity equations are coupled together and solved analytically to find the velocity distribution. In the polymer electrolyte membrane fuel cell (PEMFC), the penetration velocity can be increased by increasing the gas diffusion layer (GDL) porosity and the operating pressure of the PEMFC. The solution showed that by increasing the perturbation parameter from 0 to the higher values, the diffusion of the reactant toward the gas channel to the GDL is improved too, leading to the enhancement of the performance of the PEMFC. The axial velocity profile tends to the bottom of the flow channel. This fact helps the reactant to transfer into the reaction area quickly. For perturbation parameter 0.5, in the species equation, the distribution of species in the reaction areas is more regular and uniform. For the lower magnitudes of the Peclet number, the species gradient is enhanced, and as a result, the concentration loss takes place at the exit region of the channel. Also, increasing the perturbation parameter causes an increase in the temperature gradient along the flow channel. For higher perturbation parameters, there is a higher temperature gradient from the bottom to the top of the track in the flow direction. The temperature profile in the y direction has a nonlinear profile at the inlet region of the channel, which is converted to the linear profile at the exit region. To verify the extracted analytical results, the three-dimensional computational fluid dynamic model based on the finite volume method is developed. All of the achieved analytical results are compared to the numerical ones in the same condition with perfect accordance.

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Development of practical empirically and statistically-based equations for predicting the temperature characteristics of PEMFC applied in the CCHP system

Cited by 8 publications

References 47 publications

Analyzing Temperature Distribution, Mass Transport, and Cell Performance in PEM Fuel Cells with Emphasis on GDL Face Permeability and Thermal Contact Resistance Parameters

Analyzing Temperature Distribution, Mass Transport, and Cell Performance in PEM Fuel Cells with Emphasis on GDL Face Permeability and Thermal Contact Resistance Parameters

The Degradation Prediction of Proton Exchange Membrane Fuel Cell Performance Based on a Transformer Model

An Innovative Approach to Predict the Diffusion Rate of Reactant’s Effects on the Performance of the Polymer Electrolyte Membrane Fuel Cell

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