Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method

Vuppala, Rohit K. S. S.; Chaedir, Benitta A.; Jiang, Lishuai; Chen, Lianjun; Aziz, Muhammad; Sasmito, Agus P.

doi:10.3390/molecules24173097

Cited by 22 publications

(10 citation statements)

References 115 publications

(65 reference statements)

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“…Figure 6 shows the response surface plot for power density versus the membrane and catalyst layer thickness. As seen in the figure, the power density increases with a decrease in the thickness size of the membrane and catalyst layer thickness [18]. Both parameters play a significant role in the PEM fuel cell.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Integrated Taguchi and response surface methods in geometric and parameter optimization of PEM fuel cells

Ngetich,

Mutua,

Kareru

et al. 2023

Fuel Cells

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Proton exchange membrane (PEM) fuel cell has emerged as a promising alternative to fossil fuels as it is employed to generate electricity for portable applications with low carbon emissions. However, the high cost of the technology hinders its widespread commercialization. Optimizing PEM fuel cell model parameters is crucial in performance improvement and production cost reduction. This study presents an optimization approach for a PEM fuel cell operating and design parameters by integrating Taguchi and Response Surface Methodology. A 3D‐CFD model of a PEM fuel cell is developed and used as a base model for the optimization study. Thirteen input parameters with notable effects on the fuel cell's performance are selected for this study. By the Taguchi method, these parameters decreased from thirteen to five. A response surface methodology (RSM) Box‐Behnken experimental design is employed to study the interactions of the parameters on the power density. The optimum working parameters that result in optimum power density of 0.8476 W cm−2 include an operating pressure (2.5 bar), temperature (80°C), flow channel width (1.30 mm), membrane thickness (0.036 mm), and catalyst layer thickness of 0.01 mm. This study provides a quick and efficient way of optimizing PEM fuel cell model for maximum power density.

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Section: Resultsmentioning

confidence: 99%

“…Both methods can be employed to obtain optimal conditions from a minimum number of experiments. This method is effective in optimizing PEM fuel cell operating parameters [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Integrated Taguchi and response surface methods in geometric and parameter optimization of PEM fuel cells

Ngetich,

Mutua,

Kareru

et al. 2023

Fuel Cells

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show abstract

“…To determine the influence of each factor on the objective functions, the response surfaces are generated for the two objective functions using the GA method 40 . The response surfaces confirm the reliability of the predictions via the evaluation of “goodness of fit.” 41 The accuracy of the assessment can be determined by performing CFD simulations for the verification points 36 . If the result of the verification point is not within the proper range of goodness of fit, the point would be added as a refined point, and the response surface is then modified.…”

Section: Resultsmentioning

confidence: 99%

Multi‐objective optimization design for pressure uniformity in a proton exchange membrane fuel cell stack

Chen

Lin

et al. 2022

Intl J of Energy Research

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Summary For a proton exchange membrane fuel cell (PEMFC), the pressure uniformity of fluid in the stack is a significant factor influencing the cell performance. This study employs the multi‐objective genetic algorithm (MOGA) to optimize the pressure uniformity in a PEMFC stack by adjusting the geometric design of inlet and outlet flow channels. The flow channel geometry is divided into three parts or named factors: tube length, tapered tube length, and channel height. The target is to find the minimum pressure difference between the inlet and outlet flow channels and optimize the pressure uniformity in the stack. The Latin hypercube sampling (LHS) method is used to organize the simulations for the design of experiments (DoEs), and the genetic aggregation (GA) method is employed to generate the response surfaces of the three factors. The resultant response surfaces are utilized to analyze the effects of the three factors on two objective functions, namely, pressure uniformity and pressure drop. The analysis of variance (ANOVA) method is also used to evaluate the influences of the factors, and the results are consistent with those obtained by the response surface method. The results show that the channel height produces the greatest impact on pressure uniformity. An increase in channel height can improve the pressure uniformity and reduce the pressure drop between the inlet and outlet channels. The MOGA analysis determines the optimal geometric design where the maximized pressure uniformity is 0.97 and the minimized pressure drop is 31 kPa. The number of cells in the stack is also taken into consideration. It is found that the influence of the inlet/outlet channel geometry on pressure uniformity is more pronounced when the cell number increases. The results benefit the design of inlet/outlet flow channels and the improvement of pressure uniformity in a PEMFC stack.

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“… and Vuppala et al. . In our case, we are trying to capture the response of degradation rate with known design levers, temperature and humidity.…”

Section: Resultsmentioning

confidence: 99%

Effects of Fuel Cell Operating Conditions on Proton Exchange Membrane Durability at Open‐Circuit Voltage

et al. 2020

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Proton exchange membrane fuel cells (PEMFCs) continue to face cost and durability challenges which need to be addressed before their large scale commercialization. The PEM is an essential component of the fuel cell stack and its durability is thus a critical factor for the overall fuel cell reliability. Significant membrane degradation leads to the development of internal transfer leaks and cell short circuiting irreversibly affecting the fuel cell's functionality. In this study, perfluorosulfonic acid (PFSA) membranes were investigated for the effects of operating temperature and relative humidity on membrane durability using an open circuit voltage (OCV) accelerated stress test. The response surface methodology (RSM) was used to evaluate and optimize the effects of the operating temperature and humidity. As a result, the optimum fuel cell operational region was mapped and suggested as an alternative approach to maintain membrane durability without modifying membrane materials. The mapping could provide valuable guidelines for PEMFC designers and system engineers to optimize the operating conditions during idling to achieve a targeted membrane lifetime.

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Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method

Cited by 22 publications

References 115 publications

Integrated Taguchi and response surface methods in geometric and parameter optimization of PEM fuel cells

Integrated Taguchi and response surface methods in geometric and parameter optimization of PEM fuel cells

Multi‐objective optimization design for pressure uniformity in a proton exchange membrane fuel cell stack

Effects of Fuel Cell Operating Conditions on Proton Exchange Membrane Durability at Open‐Circuit Voltage

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