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Modeling of a square channel monolith reactor for methane steam reforming

Author

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  • Inbamrung, Piyanut
  • Sornchamni, Thana
  • Prapainainar, Chaiwat
  • Tungkamani, Sabaithip
  • Narataruksa, Phavanee
  • Jovanovic, Goran N.

Abstract

This work comprises the systematic study of a monolithic reactor design for steam methane reforming (SMR) to achieve optimal dimensions for the highest rate of reaction. The design is developed using an analytical model to establish the optimum length of the reactor. The result is confirmed by a computational fluid dynamics (CFD) model. Experimental work on SMR is carried out in lab scale. In the analytical models, the design equations for the square channel reactor are derived to estimate the channel length that affords the highest rate of reaction. The optimum length is determined as 41.6 mm with a reaction rate of 2.88 × 10−8 mol/s at the channel height of 1.5 mm, 873 K, and 1 atm. The respective optimum channel length from the CFD and experimental results are 80.0 mm and 90.0 mm, respectively, with respective reaction rates of 7.42 × 10−7 mol/s and 6.85 × 10−7 mol/s. The effects of channel heights ranging from 0.5 to 3.0 mm are investigated by CFD. Methane conversion per unit channel perimeter is defined as a design parameter for the sizing and rating of this platform. The highest value (50% mm−1) is afforded at a channel height of 0.50 mm.

Suggested Citation

  • Inbamrung, Piyanut & Sornchamni, Thana & Prapainainar, Chaiwat & Tungkamani, Sabaithip & Narataruksa, Phavanee & Jovanovic, Goran N., 2018. "Modeling of a square channel monolith reactor for methane steam reforming," Energy, Elsevier, vol. 152(C), pages 383-400.
  • Handle: RePEc:eee:energy:v:152:y:2018:i:c:p:383-400
    DOI: 10.1016/j.energy.2018.03.139
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    1. Li, Lin & Tang, Dawei & Song, Yongchen & Jiang, Bo & Zhang, Qian, 2018. "Hydrogen production from ethanol steam reforming on Ni-Ce/MMT catalysts," Energy, Elsevier, vol. 149(C), pages 937-943.
    2. Zhou, Chunguang & Zhang, Lan & Swiderski, Artur & Yang, Weihong & Blasiak, Wlodzimierz, 2011. "Study and development of a high temperature process of multi-reformation of CH4 with CO2 for remediation of greenhouse gas," Energy, Elsevier, vol. 36(9), pages 5450-5459.
    3. Wu, Wei & Yang, Hsiao-Tung & Hwang, Jenn-Jiang, 2014. "Conceptual design of syngas production systems with almost net-zero carbon dioxide emissions," Energy, Elsevier, vol. 74(C), pages 753-761.
    4. Ouzounidou, Martha & Ipsakis, Dimitris & Voutetakis, Spyros & Papadopoulou, Simira & Seferlis, Panos, 2009. "A combined methanol autothermal steam reforming and PEM fuel cell pilot plant unit: Experimental and simulation studies," Energy, Elsevier, vol. 34(10), pages 1733-1743.
    5. Wang, Guoqiang & Wang, Feng & Li, Longjian & Zhang, Guofu, 2013. "Experiment of catalyst activity distribution effect on methanol steam reforming performance in the packed bed plate-type reactor," Energy, Elsevier, vol. 51(C), pages 267-272.
    6. Cheng, Chin-Hsiang & Huang, Yu-Xian & King, Shun-Chih & Lee, Chun-I & Leu, Chih-Hsing, 2014. "CFD (computational fluid dynamics)-based optimal design of a micro-reformer by integrating computational a fluid dynamics code using a simplified conjugate-gradient method," Energy, Elsevier, vol. 70(C), pages 355-365.
    7. Sharma, A.K. & Birgersson, E. & Vynnycky, M., 2015. "Towards computationally-efficient modeling of transport phenomena in three-dimensional monolithic channels," Applied Mathematics and Computation, Elsevier, vol. 254(C), pages 392-407.
    8. Tonekabonimoghadam, S. & Akikur, R.K. & Hussain, M.A. & Hajimolana, S. & Saidur, R. & Ping, H.W. & Chakrabarti, M.H. & Brandon, N.P. & Aravind, P.V. & Nayagar, J.N.S. & Hashim, M.A., 2015. "Mathematical modelling and experimental validation of an anode-supported tubular solid oxide fuel cell for heat and power generation," Energy, Elsevier, vol. 90(P2), pages 1759-1768.
    9. Pashchenko, Dmitry, 2018. "First law energy analysis of thermochemical waste-heat recuperation by steam methane reforming," Energy, Elsevier, vol. 143(C), pages 478-487.
    10. Hong, Sung Kook & Dong, Sang Keun & Han, Jeong Ok & Lee, Joong Seong & Lee, Young Chul, 2013. "Numerical study of effect of operating and design parameters for design of steam reforming reactor," Energy, Elsevier, vol. 61(C), pages 410-418.
    11. Tsuneyoshi, Koji & Yamamoto, Kazuhiro, 2012. "A study on the cell structure and the performances of wall-flow diesel particulate filter," Energy, Elsevier, vol. 48(1), pages 492-499.
    12. Ji, Guozhao & Zhao, Ming & Wang, Geoff, 2018. "Computational fluid dynamic simulation of a sorption-enhanced palladium membrane reactor for enhancing hydrogen production from methane steam reforming," Energy, Elsevier, vol. 147(C), pages 884-895.
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