Pan M, Wu Q, Jiang L (2015) Effect of microchannel structure on the reaction performance of methanol steam reforming.

Sci Bull 60:1049–1054Īgarwal V, Patel S, Pant KK (2005) H 2 production by steam reforming of methanol over Cu/ZnO/Al 2O 3 catalysts: transient deactivation kinetics modeling. Zhao J (2015) Development of China’s biofuel industry and policy making in comparison with international practices. Int J Hydrogen Energy 35:1160–1190Īn L, Zhao TS, Yan XH et al (2015) The dual role of hydrogen peroxide in fuel cells. Chem Eng Process 65:1–44Ībbas HF, Daud W (2010) Hydrogen production by methane decomposition: a review.

Kolb G (2013) Review: microstructured reactors for distributed and renewable production of fuels and electrical energy. The SR and DE activation energy obtained indicates that E SR < E DE, which can explain the previous observation that the CO 2 selectivity decreased with the temperature increase. The variance homogeneity test ( F test) shows that the dynamic models are feasible with high accuracy, which can be used to predict the generating rate of hydrogen under different reaction temperatures and feed flow rates in fluidized bed reactor.

The exponentials in kinetic equations were obtained by linear least-squares method based on the experimental data. The reaction rate per unit mass of catalyst was related to partial pressures of components. To describe the hydrogen generating rate with methanol steam reforming in fluidized bed reactor quantitatively, dual-rate kinetic models of the reactions with exponent form were developed, including that of steam reforming reaction (SR) and decomposition reaction (DE). Fluidized bed reactor provides a promising approach for hydrogen production. Hydrogen is one of the best energy carriers.

Steam link 1003