Thermal design and modeling of a steam reformer for solid oxide fuel cell fed by natural gas

Yıl 2019, Cilt: 3 Sayı: 2, 71 - 83, 28.06.2019

Oguz Emrah Turgut

Öz

In
this study, a compact heat exchanger type steam reformer has been modelled for
solid oxide fuel cells fed by natural gas. The commercial CFD code COMSOL
Multiphysics has been used for modelling the steam reformer. It has been
considered that the heat for the endothermic catalytic reactions in the steam
reforming processes is gained from the hot exhaust gases of the solid oxide
fuel cell. Thus it has been modelled that these hot gases flow through one side
of the heat exchanger. In the other side of the heat exchanger, there is a
catalyst area in which the mixture of steam and methane mixture flows through.
This area has been modelled as a porous medium because of the catalyst
particles. It is shown that hydrogen yield at the exit of the steam reformer
and the change of amount of the hydrogen yield are strongly connected with
various model parameters. 

Anahtar Kelimeler

COMSOL Multiphysics, Fuel cell, , Hydrogen, Natural gas, Steam reforming

Kaynakça

• [1] Erdener H, Erkan S, Eroğlu E, Gür N, Şengül E, Baç N, 2007. Sürdürülebilir Enerji ve Hidrojen, ODTÜ Yayıncılık, Ankara, p.105 (in Turkish)
• [2] Siddle A, Pointon KD, Judd RW, 2003. Jones SL, Fuel Processing for Fuel Cells – Status Review and Assessment of Prospects, A report of Advantica Ltd, ETSU F/03/00252/REP. URN 031644 p.124
• [3] Froment GF, Bischoff KB, 2010. Chemical Reactor Analysis and Design, John Wiley and Sons, Canada, p664
• [4] Ding Y, Alpay E, 2000. Adsorption-enhanced steam methane reforming. Chem Eng. Sci. 55:3929- 3940
• [5] Zamaniyan A, Zoghi AT, Ebrahimi H, 2008. Software development for design and simulation of terraced wall and top fired primary steam reformers. Comput. Chem. Eng. 32:1433-1446
• [6] Zanfir M, Gavriilidis A, 2003. Catalytic combustion assisted methane steam reforming in a catalytic plate reactor. Chem. Eng. Sci. 58: 3947- 3960
• [7] Wilke CH, 1950. A viscosity equation for gas mixtures. J. Chem. Phys. 18: 517- 519
• [8] Chung TH, Lee LL, Starling KE, 1984. Applications of kinetic gas theories and multiparameter correlation for prediction of dilute gas viscosity and thermal conductivity. Ind. Eng. Chem. Fund. 23: 8-13
• [9] Chung TH, Ajlan M, Lee LL, Starling KE, 1988. Generalized multiparameter correlation for nonpolar and polar fluid transport properties, Ind. Eng. Chem. Res. 27: 671- 679
• [10] Poling BE, Prausnitz JM, O’Connell JP, 2007. The Properties of Gases and Liquids, McGraw ill, Singapore, p.768
• [11] Wassiljewa A, 1904. Heat conduction in gas mixtures. Physik. Z. 5: 737 – 742
• [12] Mason EA, Saxena SC, 1958. Approximate formulae for the thermal conductivity of gas mixtures. Phys. Fluid 1: 361 – 369
• [13] Yaws CL, 1999. Chemical Properties Handbook, McGraw Hill, New York, p780
• [14] Blanc, MA, 1908. Recherches sur les mobilites des ions dans les gaz. J. Phys. 7: 825 – 839
• [15] Fuller EN, Giddings JC, 1965. A comparison of methods for predicting gaseous diffusion coefficients. J. Chromatogr. Sci. 3: 222- 227
• [16] Fuller EN, Schettler PD, Giddings JC, 1966. New method for prediction of binary gas-phase diffusion coefficients. Ind. Eng. Chem. 58: 18- 27
• [17] Fuller EN, Ensley K, Giddings JC, 1969. Diffusion of halogenated hydrocarbons in helium. The effect of structure on collision cross sections. J. Phys. Hem. 73: 3679-3685
• [18] Hoang, D.L., Chan, S.H., and Ding, O.I., 2005, Kinetic and modelling study of methane steam reforming over sulfide nickel catalyst on a gamma alumina support, Chemical Engineering Journal, 112:1–11.