Importance and applications of DOE/optimization methods in PEM fuel cells: A review

Karanfil, Gamze

doi:10.1002/er.4815

Cited by 63 publications

(32 citation statements)

References 60 publications

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“…1 As a key part of DMFCs, the proton-exchange membrane (PEM) is responsible for the proton transportation to ensure the normal operation of fuel cells. 2,3 Although Nafion is widely used as a PEM due to its high proton conductivity and stability, 4 its applications are limited by unacceptable cost and poor methanol barrier. [5][6][7] Chitosan (CS) is explored as promising membrane-forming material for PEMs because of low cost and considerable methanol barrier properties.…”

Section: Highlightsmentioning

confidence: 99%

Carbon nanocomposites self‐assembly UiO‐66‐doped chitosan proton exchange membrane with enhanced proton conductivity

et al. 2020

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Summary One‐dimensional (1D) sodium ligninsulfonate functionalized carbon nanotubes (SCNT), two‐dimensional (2D) graphene oxide (GO), and three‐dimensional (3D) zirconium‐based metal‐organic frameworks (UiO‐66) are self‐assembled as filler materials for proton‐exchange membranes (PEMs) because of their potential for extending proton transport pathways. Herein, UiO‐66‐SCNT and UiO‐66‐SCNT@GO were prepared by a facile solvothermal synthesis and then the nanohybrid chitosan (CS) PEMs were fabricated via solution casting. The hybrid PEMs with higher ion exchange capacity than the pure CS membrane displayed higher proton conductivity and selectivity. The proton conductivity of nanohybrid membrane doped with 7 wt% UiO‐66‐SCNT@GO (CS/U‐S@GO‐7) was enhanced to 64 mS cm−1 at 70°C. Simultaneously, the selectivity was reached 19.4 × 104 S s cm−3 and was much higher than the pristine CS membrane (0.13 × 103 S s cm−3). Moreover, the mechanical properties of all composite membranes were significantly enhanced compared with that of the pure CS membrane. The results showed that our research provided a valuable strategy for designing high‐performance CS‐based PEMs in direct methanol fuel cell (DMFC). Highlights A simple and facile solvothermal synthesis was used to prepare UiO‐66‐SCNT@GO. UiO‐66‐SCNT@GO was introduced into chitosan (CS) matrix to optimize proton transport channels. CS‐based hybrid membranes exhibit high proton conductivity and selectivity. CS‐based hybrid membranes show low methanol permeability.

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Section: Highlightsmentioning

confidence: 99%

Carbon nanocomposites self‐assembly UiO‐66‐doped chitosan proton exchange membrane with enhanced proton conductivity

et al. 2020

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“…Recently, several studies have been reported to model the PEMFCs which are collected and summarized by Karanfil in 2020 . Actually, the principal goal of these studies is to create a precise model of the PEMFC that can represent it accurately in simulation studies.…”

Section: Introductionmentioning

confidence: 99%

“…13 Recently, several studies have been reported to model the PEMFCs which are collected and summarized by Karanfil in 2020. 14 Actually, the principal goal of these studies is to create a precise model of the PEMFC that can represent it accurately in simulation studies. The preciseness of the model depends mainly on minimizing the error value between the simulation and experimental results.…”

mentioning

confidence: 99%

Parameters extraction of PEMFC's model using manta rays foraging optimizer

2020

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Summary In this article, a recently developed bio‐inspired based manta rays foraging optimizer (MRFO) is attempted for reliable and accurate extraction of the model uncertain parameters of proton exchange membrane fuel cells (PEMFCs). The parameter estimation is formulated as a non‐linear optimization problem subject to set of restrictions. The great development and tremendous revolution of computation heuristic‐based algorithms are the impetus of the authors to apply the MRFO to solve this constrained optimization problem resulting in a precise PEMFC model. Three case studies of typical field PEMFC stacks namely Ballard type Mark V, NedStack type PS6, and Horizon type H‐12. Various I to V datasets are demonstrated to appraise the performance of MRFO among other recent optimizers available in the literature. To be objective and for sake of quantifications, the best scores of minimum fitness values are 0.8533, 2.1360, and 0.0966 for the later said PEMFC stacks, correspondingly. At a later stage, production of various characteristics under varying operating conditions such as changeable cell temperature and regulating pressures are established using the generated best values of PEMFCs model. Further calculations of statistical indices are performed to validate the robustness of obtained results by the MRFO. Through comprehensive performance assessments, it can be confirmed that MRFO is very promising tool for the effective extraction of PEMFCs' model and suggested to be applied for solving other engineering problems.

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“…Continuously, platinum blossoms out to be the most practical catalyst for ORR catalysis in the real application of PEMFC . Nevertheless, developing the more active and better durable Pt‐based catalysts are still imperative in achieving more efficient energy conversion.…”

Section: Introductionmentioning

confidence: 99%

“…10,11 Continuously, platinum blossoms out to be the most practical catalyst for ORR catalysis in the real application of PEMFC. 12,13 Nevertheless, developing the more active and better durable Pt-based catalysts are still imperative in achieving more efficient energy conversion. Preparation of the desired Pt alloyed catalysts paves the way in developing the next-generation ORR catalysts, promising in replacing the commercial Pt/C.…”

Section: Introductionmentioning

confidence: 99%

H ₂ ‐induced thermal treatment significantly influences the development of a high performance low‐platinum core‐shell PtNi/C alloyed oxygen reduction catalyst

Zhao

Wang

Wang³

et al. 2020

Int J Energy Res

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Summary In the purpose of maximizing the utilization of noble metal Pt in oxygen reduction catalysts, we illustrate a synthesis method of preparing the low‐platinum PtNi/C alloyed oxygen reduction reaction (ORR) catalyst, which is developed through the H2‐induced treatment to a glucose reduced PtNi/C alloy. After post‐treatment with H2/N2 mixture gases, this catalyst displays excellent ORR catalytic activity and durability for the synergetic influences of electronic and geometry effects on catalysts during the alloying. Specifically, the as‐prepared PtNi/C (350°C‐6 h) sample delivers preponderant ORR activity with only 53.5% Pt usage than the commercial Pt/C. The specific activity and mass activity are corresponding 7.49 times and 3.5 times to the commercial Pt/C. This catalyst exhibits excellent ORR catalytic activity after 10 000 potential cycles in acid, which benefits from the well alloyed core‐shell structure of PtNi/C. H2‐induced thermal treatment has significant effects on the development of high performance low‐platinum PtNi/C alloy catalyst, and plays the significant role in the formation of well‐alloyed core‐shell structures. The lowered d‐band center is believed to facilitate ORR catalysis through weakening the adsorption of intermediate oxygen species on the alloyed Pt surface. Therefore, PtNi/C(350°C‐6 h) alloyed catalyst possesses outstanding ORR catalytic activity with much lower Pt loading.

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Importance and applications of DOE/optimization methods in PEM fuel cells: A review

Cited by 63 publications

References 60 publications

Carbon nanocomposites self‐assembly UiO‐66‐doped chitosan proton exchange membrane with enhanced proton conductivity

Carbon nanocomposites self‐assembly UiO‐66‐doped chitosan proton exchange membrane with enhanced proton conductivity

Parameters extraction of PEMFC's model using manta rays foraging optimizer

H ₂ ‐induced thermal treatment significantly influences the development of a high performance low‐platinum core‐shell PtNi/C alloyed oxygen reduction catalyst

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Importance and applications of DOE/optimization methods in PEM fuel cells: A review

Cited by 63 publications

References 60 publications

Carbon nanocomposites self‐assembly UiO‐66‐doped chitosan proton exchange membrane with enhanced proton conductivity

Carbon nanocomposites self‐assembly UiO‐66‐doped chitosan proton exchange membrane with enhanced proton conductivity

Parameters extraction of PEMFC's model using manta rays foraging optimizer

H 2 ‐induced thermal treatment significantly influences the development of a high performance low‐platinum core‐shell PtNi/C alloyed oxygen reduction catalyst

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H ₂ ‐induced thermal treatment significantly influences the development of a high performance low‐platinum core‐shell PtNi/C alloyed oxygen reduction catalyst