Unsteady state numerical study of carbon deposition on the performance of solid oxide fuel cell and variation of porosity

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 127

فایل این مقاله در 15 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_JCARME-12-2_009

تاریخ نمایه سازی: 19 فروردین 1402

چکیده مقاله:

Carbon deposition has a serious effect on the failure mechanism of solid oxide fuel cells. A comprehensive investigation based on a two-dimensional model of a solid oxide fuel cell with the detailed electrochemical model is presented to study the mechanism and effects of carbon deposition and unsteady state porosity variation.  Studies of this kind can be an aid to identify the SOFC optimal working conditions and provide an approximate fuel cell lifetime. It has been revealed that, due to carbon deposition, the porosity coefficient of the fuel cell decreases. Consequently, a reduction in the amount of fuel consumption along the fuel cell and the chemical and electrochemical reaction rates are resulted which can be clearly seen in the off-gases molar ratio. The percentage of output fuel changes in the timeframe is useful information for optimizing CHP systems including fuel cells. The percentage of the output water vapor, which usually increases compared to the input, decreases by ۱۷% at the end of the working period. Also, unreacted methane in the output of the fuel cell increased by ۱۲%; in other words, it is wasted. The other consequence of carbon deposition reduced electrochemical and chemical reaction rates and the reduction of temperature difference along the cell. The study shows that after ۱۴۵ working days, the temperature difference along the cell varies from ۱۱۷ °C for the starting time to ۷ °C. Also, by reducing the current density, the cell output power density decreases by ۷۲% after ۱۴۵ working days.

کلیدواژه ها:

نویسندگان

Hamed Khoshkam

Department of Mechanical Engineering, the University of Guilan, Rasht, Iran

Kazem Atashkari

Department of Mechanical Engineering, the University of Guilan, Rasht, Iran

Mehdi Borji

Department of Mechanical Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • M. Andersson, J. Yuan and B. Sundén, “Line approach and ...
  • Y. Patcharavorachot, A. Arpornwichanop and A. Chuachuebsuk, “Electrochemical study of ...
  • M. Borji, K. Atashkari, S. Ghorbani and N. Nariman-Zadeh, “Model-based ...
  • N. L. Panwar, R. Kothari and V. V. Tyagi, “Thermo ...
  • R. Toonssen, S. Sollai, PV. Aravind, N. Woudstra and AHM. ...
  • H. Xu and Z. Dang, “Numerical investigation of coupled mass ...
  • M. Borji, K. Atashkari, S. Ghorbani and N. Nariman-Zadeh, “Parametric ...
  • M. C. Williams, J. P. Strakey, W. A. Surdoval and ...
  • I. Khazaee and A. Rava, “Numerical simulation of the performance ...
  • J. Alinejad and J. A. Esfahani, “Numerical Stabilization of Three-Dimensional ...
  • S.M. Madani, J. Alinejad, Y. Rostamiyan and K. Fallah, “Numerical ...
  • M. Fardadi, D.F. McLarty and F. Jabbari, “Investigation of thermal ...
  • M. Borji, K. Atashkari, N. Nariman-zadeh and M. Masoumpour, “Modeling, ...
  • T. Meng, D. Cui, Y. Ji, M. Cheng, B. Tu ...
  • M. Andersson, J. Yuan and B. Sundén, “Review on modeling ...
  • O. Razbani and M. Assadi, “Artificial neural network model of ...
  • A new approach to microstructure optimization of solid oxide fuel cell electrodes [مقاله ژورنالی]
  • J. Kupecki, “Modelling of Physical, Chemical, and Material Properties of ...
  • K. Tseronis, I.S. Fragkopoulos, I. Bonis and C. Theodoropoulos, “Detailed ...
  • S. McIntosh and R.J. Gorte, “Direct Hydrocarbon Solid Oxide Fuel ...
  • T. Takeguchi, Y. Kani, T. Yano, R. Kikuchi, K. Eguchi, ...
  • T. Kim, G. Liu, M. Boaro, S. I. Lee, J. ...
  • A. Mostafaeipour, M. Qolipour, H. Goudarzi, M. Jahangiri, A. M. ...
  • M. Yan, M. Zeng, Q. Chen and Q. Wang, “Numerical ...
  • H. Xu and Z. Dang. “Lattice Boltzmann modeling of carbon ...
  • T. Ma , M. Yan , M. Zeng, J. l. ...
  • C. Schluckner, V. Subotic, V. Lawlor and C. Hochenauer, “Carbon ...
  • V. M. Janardhanan and O. Deutschmann, “CFD analysis of a ...
  • H. Pourziaei Araban, J. Alinejad and M. Mohsen Peiravi, “Entropy ...
  • M.M Peiravi and J.Alinejad, “Nano particles distribution characteristics in multi-phase ...
  • M. D. Sanwar, G. Alharbi, K. Z. Islam, and M. ...
  • P. Costamagna and K. Honegger, “Modeling at solid oxide heat ...
  • M.M. Hussain, X. Li and I. Dincer, “A general electrolyte–electrode-assembly ...
  • O. Razbani, M. Assadi and M. Andersson, “Three dimensional CFD ...
  • H. Iwai, Y. Yamamoto, M. Saito, H. Yoshida, “Numerical simulation ...
  • P. Sarmah, T.K. Gogoi and R. Das, “Estimation of operating ...
  • L. Maier, B. Schadel, K. Herrera Delgado, S. Tischer and ...
  • M. Andersson, J. Yuan and B. Sundén, “Modeling Validation and ...
  • نمایش کامل مراجع