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Application of response surface methodology to optimize and investigate the effects of operating conditions on the performance of DMFC

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  • Taymaz, Imdat
  • Akgun, Fehmi
  • Benli, Merthan

Abstract

In this study, the response surface methodology (RSM) has been applied to optimize the operating conditions of direct methanol fuel cell (DMFC). A quadratic model was developed through RSM in terms of related independent variable to describe the current as the response. The input data required in this model has been obtained experimentally. For this purpose, an experimental set up for testing of direct methanol fuel cell has been established to investigate the effects of temperature and flow rate parameters on the cell performance. Two different analyses for operating conditions were performed applying the response surface method to obtain the maximum power. These analyses were based on the unlimited and minimum methanol consumptions. Methanol flow rate, oxygen flow rate, methanol temperature, humidification temperature and cell temperature were the main parameters considered that they were varied between 2 and 50 ml/min, 100–1000 ml/min, 30–70 °C, 30 70 °C and 30–80 °C in the analyses respectively. The maximum current under the unlimited and minimum methanol consumptions was found as 1230 mA and 582 mA based on the contour plots and variance analysis.

Suggested Citation

  • Taymaz, Imdat & Akgun, Fehmi & Benli, Merthan, 2011. "Application of response surface methodology to optimize and investigate the effects of operating conditions on the performance of DMFC," Energy, Elsevier, vol. 36(2), pages 1155-1160.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:2:p:1155-1160
    DOI: 10.1016/j.energy.2010.11.034
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    Citations

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    Cited by:

    1. Zhengang Zhao & Dongjie Li & Xiaoping Xu & Dacheng Zhang, 2023. "An Adaptive Joint Operating Parameters Optimization Approach for Active Direct Methanol Fuel Cells," Energies, MDPI, vol. 16(5), pages 1-14, February.
    2. Gai, Chao & Dong, Yuping & Zhang, Tonghui, 2014. "Distribution of sulfur species in gaseous and condensed phase during downdraft gasification of corn straw," Energy, Elsevier, vol. 64(C), pages 248-258.
    3. Boyacı San, Fatma Gül & Okur, Osman & İyigün Karadağ, Çiğdem & Isik-Gulsac, Isil & Okumuş, Emin, 2014. "Evaluation of operating conditions on DBFC (direct borohydride fuel cell) performance with PtRu anode catalyst by response surface method," Energy, Elsevier, vol. 71(C), pages 160-169.
    4. Sayadi, Parvin & Rowshanzamir, Soosan & Parnian, Mohammad Javad, 2016. "Study of hydrogen crossover and proton conductivity of self-humidifying nanocomposite proton exchange membrane based on sulfonated poly (ether ether ketone)," Energy, Elsevier, vol. 94(C), pages 292-303.
    5. Bessa, Larissa C.B.A. & Ferreira, M.C. & Batista, Eduardo A.C. & Meirelles, Antonio J.A., 2013. "Performance and cost evaluation of a new double-effect integration of multicomponent bioethanol distillation," Energy, Elsevier, vol. 63(C), pages 1-9.
    6. Najafi Roudbari, Mohsen & Ojani, Reza & Raoof, Jahan Bakhsh, 2017. "Investigation of hot pressing parameters for manufacture of catalyst-coated membrane electrode (CCME) for polymer electrolyte membrane fuel cells by response surface method," Energy, Elsevier, vol. 140(P1), pages 794-803.
    7. Najafi, Gholamhassan & Ghobadian, Barat & Yusaf, Talal & Safieddin Ardebili, Seyed Mohammad & Mamat, Rizalman, 2015. "Optimization of performance and exhaust emission parameters of a SI (spark ignition) engine with gasoline–ethanol blended fuels using response surface methodology," Energy, Elsevier, vol. 90(P2), pages 1815-1829.
    8. Rahnavard, Aylin & Rowshanzamir, Soosan & Parnian, Mohammad Javad & Amirkhanlou, Gholam Reza, 2015. "The effect of sulfonated poly (ether ether ketone) as the electrode ionomer for self-humidifying nanocomposite proton exchange membrane fuel cells," Energy, Elsevier, vol. 82(C), pages 746-757.
    9. Boyaci San, Fatma Gül & Isik-Gulsac, Isil & Okur, Osman, 2013. "Analysis of the polymer composite bipolar plate properties on the performance of PEMFC (polymer electrolyte membrane fuel cells) by RSM (response surface methodology)," Energy, Elsevier, vol. 55(C), pages 1067-1075.
    10. Bornatico, Raffaele & Hüssy, Jonathan & Witzig, Andreas & Guzzella, Lino, 2013. "Surrogate modeling for the fast optimization of energy systems," Energy, Elsevier, vol. 57(C), pages 653-662.
    11. Boyacı San, Fatma Gül & İyigün Karadağ, Çiğdem & Okur, Osman & Okumuş, Emin, 2016. "Optimization of the catalyst loading for the direct borohydride fuel cell," Energy, Elsevier, vol. 114(C), pages 214-224.
    12. Fang, Shuo & Zhang, Yufeng & Zou, Yuezhang & Sang, Shengtian & Liu, Xiaowei, 2017. "Structural design and analysis of a passive DMFC supplied with concentrated methanol solution," Energy, Elsevier, vol. 128(C), pages 50-61.
    13. Sharifi, Shima & Rahimi, Rahbar & Mohebbi-Kalhori, Davod & Colpan, C. Ozgur, 2020. "Coupled computational fluid dynamics-response surface methodology to optimize direct methanol fuel cell performance for greener energy generation," Energy, Elsevier, vol. 198(C).
    14. Roudbari, Mohsen Najafi & Ojani, Reza & Raoof, Jahan Bakhsh, 2019. "Performance improvement of polymer fuel cell by simultaneously inspection of catalyst loading, catalyst content and ionomer using home-made cathodic half-cell and response surface method," Energy, Elsevier, vol. 173(C), pages 151-161.
    15. Fang, Shuo & Zhang, Yufeng & Ma, Zezhong & Sang, Shengtian & Liu, Xiaowei, 2016. "Systemic modeling and analysis of DMFC stack for behavior prediction in system-level application," Energy, Elsevier, vol. 112(C), pages 1015-1023.
    16. Yuan, Zhenyu & Yang, Jie & Zhang, Yufeng & Zhang, Xiwei, 2015. "The optimization of air-breathing micro direct methanol fuel cell using response surface method," Energy, Elsevier, vol. 80(C), pages 340-349.

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