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Modeling of passive direct ethanol fuel cells

Author

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  • Oliveira, V.B.
  • Pereira, J.P.
  • Pinto, A.M.F.R.

Abstract

Direct ethanol fuel cells (DEFCs) are promising substitute power sources for compact and mobile applications. Passive feed systems are especially desirable because they are less expensive, more compact and simpler than the active systems. Aiming for the introduction of passive DEFCs in the market, this work describes a steady-state and one-dimensional model considering the electrochemical reactions and all the transport phenomena (heat and mass transport) occurring in a passive feed DEFC. This model can be used to estimate the concentration profiles of the different chemical species, as well as, the temperature distribution on the different layers. Moreover, the model can accurately predict the influence of the operating conditions and design parameters on the ethanol and water crossover rate. The model predictions for the polarization curves are successfully compared with recent published data for different ethanol concentrations. The current model is rapidly implemented and can be a useful tool to optimize the performance of a passive DEFC.

Suggested Citation

  • Oliveira, V.B. & Pereira, J.P. & Pinto, A.M.F.R., 2017. "Modeling of passive direct ethanol fuel cells," Energy, Elsevier, vol. 133(C), pages 652-665.
    • Handle: RePEc:eee:energy:v:133:y:2017:i:c:p:652-665
    DOI: 10.1016/j.energy.2017.05.152
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    Citations

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    Cited by:

    1. Ismail, A. & Kamarudin, S.K. & Daud, W.R.W. & Masdar, S. & Hasran, U.A., 2018. "Development of 2D multiphase non-isothermal mass transfer model for DMFC system," Energy, Elsevier, vol. 152(C), pages 263-276.
    2. Ghadamian, Hossein & Moghadasi, Meisam & Baghban yousefkhani, Mojtaba & Javaheri, Masoumeh & Massoudi, Abouzar & Amirian, Hajar, 2024. "Experimental investigation on a novel empirical parameter for simultaneous analysis of the temperature and concentration effects on fuel utilization coefficient of direct ethanol fuel cell," Renewable Energy, Elsevier, vol. 224(C).
    3. Dabiri, Soroush & Hashemi, Mohammadreza & Rahimi, Mohammadfazel & Bahiraei, Mehdi & Khodabandeh, Erfan, 2018. "Design of an innovative distributor to improve flow uniformity using cylindrical obstacles in header of a fuel cell," Energy, Elsevier, vol. 152(C), pages 719-731.
    4. Sánchez-Monreal, Juan & García-Salaberri, Pablo A. & Vera, Marcos, 2019. "A mathematical model for direct ethanol fuel cells based on detailed ethanol electro-oxidation kinetics," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    5. Mohammed, Hanin & Al-Othman, Amani & Nancarrow, Paul & Tawalbeh, Muhammad & El Haj Assad, Mamdouh, 2019. "Direct hydrocarbon fuel cells: A promising technology for improving energy efficiency," Energy, Elsevier, vol. 172(C), pages 207-219.
    6. Wu, Horng-Wen & Lin, Ke-Wei, 2019. "Hydrogen-rich syngas production by reforming of ethanol blended with aqueous urea using a thermodynamic analysis," Energy, Elsevier, vol. 166(C), pages 541-551.
    7. Hosseini, Mir Ghasem & Mahmoodi, Raana & Daneshvari-Esfahlan, Vahid, 2018. "Ni@Pd core-shell nanostructure supported on multi-walled carbon nanotubes as efficient anode nanocatalysts for direct methanol fuel cells with membrane electrode assembly prepared by catalyst coated m," Energy, Elsevier, vol. 161(C), pages 1074-1084.
    8. Maria H. de Sá & Alexandra M. F. R. Pinto & Vânia B. Oliveira, 2022. "Passive Small Direct Alcohol Fuel Cells for Low-Power Portable Applications: Assessment Based on Innovative Increments since 2018," Energies, MDPI, vol. 15(10), pages 1-48, May.

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