Comprehensive comparative evaluation of different possible optimization scenarios for a polymer electrolyte membrane fuel cell

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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“…Recently, a comprehensive evaluation of different optimization scenarios for a PEMFC is provided by Sohani et al. and Vuppala et al. .…”

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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“…From the mathematical expressions described by equations (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16), it is obviously noticed that the operation and performance characteristics of the PEMFC stack system are originally depended on a number of parameters. A part of these parameters are not available in the datasheet of the manufacturer and have to be carefully estimated to guarantee an accurate representation of the PEMFC, which gives results that match with experimental data.…”

Section: Objective Functionmentioning

confidence: 99%

“…Due to its sufficient way to obtain optimum solutions for complicated problems, Metaheuristics can be adapted to provide robust parameter estimation for fuel cell modeling. From this fact, the no-freelunch theorem has made a cogent remark that is employed by several optimization techniques to solve various engineering optimization problems [6,7].…”

Section: Introductionmentioning

confidence: 99%

Fuel Cell Parameters Estimation via Marine Predators and Political Optimizers

et al. 2020

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Proton Exchange Membrane Fuel Cells (PEMFC) is considered a propitious solution for an environmentally friendly energy source. A precise model of PEMFC for accurate identification of its polarization curve and an in-depth understanding of all its operating characteristics attracted the interest of many researchers. In this paper, recent meta-heuristic optimization methods have been successfully applied to evaluate the unknown parameters of PEMFC models, particularly Marine Predators Algorithm (MPA) and Political Optimizer (PO) techniques. The proposed optimization algorithms have been tested on three different commercial PEMFC stacks, namely BCS 500-W, SR-12PEM 500 W, and 250 W stack under various operating conditions. The sum of square errors (SSE) between the results obtained by the application of the estimated parameters and the experimentally measured results of the fuel cell stacks was considered as the objective function of the optimization problem. In order to validate the effectiveness of the proposed methods, the results are compared with those obtained in the literature. Moreover, the I/V curves obtained by the application of MPA and PO showed a clear matching with datasheet curves for all the studied cases. Statistical analysis has been performed to evaluate the robustness of the MPA and PO techniques. Finally, the PEMFC model based on the MPA technique surpasses all compared algorithms in terms of the solution accuracy and the convergence speed. The obtained results confirmed the superiority and reliability of the applied approach of the MPA algorithm. The results prove that the MPA algorithm has a superior performance based on its reliability. INDEX TERMS Fuel cell modelling, Parameter estimation, metaheuristic algorithms.

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“…It was found that when the air-to-inlet ratio of the second stage is increased, there is an equality of performance criteria, so it has an optimal value. 21,22 Also A. Abdalisousan et al come up with a particle swarm in a new possible way. Optimization (PSO) was investigated to achieve economic optimization and in this study, the economic analysis of combined cycle power plants was performed using classical optimization.…”

Section: Petrakopoulou Et Al Have Investigated Common Exergy Analysimentioning

confidence: 99%

Exergoeconomic analysis and optimization of reverse osmosis desalination integrated with geothermal energy

Hoseinzadeh

Yargholi

Kariman

et al. 2020

Env Prog and Sustain Energy

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In this research, the integrated carbon dioxide power cycle with the geothermal energy source to supply the required reverse osmosis desalination power for freshwater production is defined. The cycling power is consumed by the desalination system and sodium hypochlorite generator. Exergoeconomic analysis, and optimization are studied. Exergoeconomic analysis is shown that the desalination system, sodium hypochlorite generator, carbon dioxide turbine, and natural gas turbine have the highest rate for the sum of capital gain and exergy destruction cost. For the first case of optimization, the total cost rate is considered as the objective function. The optimal inlet discharge rate of sodium hypochlorite generator was 62% of the brine water outlet discharge rate of the desalination system. Plus, the total cost rate is reduced by 10% compared to the general case when 100% of brine water discharge rate of the desalination system enters into the sodium hypochlorite generator. The second case is multiobjective optimization to reduce costs and increase productivity.

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Comprehensive comparative evaluation of different possible optimization scenarios for a polymer electrolyte membrane fuel cell

Cited by 73 publications

References 49 publications

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

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

Fuel Cell Parameters Estimation via Marine Predators and Political Optimizers

Exergoeconomic analysis and optimization of reverse osmosis desalination integrated with geothermal energy

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