Performance Characterization of Supported Iron Nanocatalysts for Fischer-Tropsch Synthesis

Tasfy, S. H. and Mohd Zabidi, N. A. and Subbarao, D. (2011) Performance Characterization of Supported Iron Nanocatalysts for Fischer-Tropsch Synthesis. [Citation Index Journal]

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This study aimed to develop oxide-supported iron-based nanocatalyst and establish the particle-size dependence of the supported iron nanocatalyst in the Fischer-Tropsch synthesis (FTS) reaction. Iron nanocatalyst was synthesized using impregnation method at 3, 6, 10, and 15 wt % on SiO2 and Al2O3-SiO2 supports. Effects of iron loading and catalyst supports on the physicochemical properties of supported iron nanoparticles were investigated using N2 physical adsorption, FESEM, H2-TPR, and TEM. The performance of the supported iron nanocatalysts in the Fischer-Tropsch synthesis (FTS) was studied in a fixed-bed microreactor at atmospheric pressure. The average particle sizes were 5.8 ± 1.2, 8.6 ± 1.1, 12.6 ± 1.3 and 13 ± 1.2 nm for the 3, 6, 10 and 15 wt% Fe on SiO2, respectively. At lower iron loading (3 and 6 wt %) on SiO2, iron nanoparticles were more uniformly distributed compared to those at higher loadings. Using the Al2O3-SiO2 support, the average particle sizes for the 3, 6, 10, and 15 wt% Fe were 6.2 ± 1.8, 10 ± 2, 14.5 ± 3.3, and 17.8 ± 5.3 nm, respectively. The 3 and 6 wt% Fe/SiO2 resulted in 60 % and 54 % CO conversion, respectively at 250oC, H2/CO = 1.5 v/v and SV=3L/g-Fe/h. The CO conversion decreased to 30% when Fe loading was increased to 15 wt%. The CO conversion trend correlated to the size of the iron nanoparticles. For 6 wt% Fe/SiO2, the average size of iron nanoparticles was 8.6 nm whereas at 15 wt % iron loading, the average size of the iron nanoparticles was 13 nm. As the iron particle size increased from 8.6 nm to 13 nm, the C5+ selectivity decreased from 20% to 11% whereas the selectivity for the light hydrocarbons increased from 55 % to 77%.

Item Type:Citation Index Journal
Subjects:Q Science > QD Chemistry
Departments / MOR / COE:Research Institutes > Institute for Autonomous Systems
ID Code:6466
Deposited By: Assoc Prof Dr Noor Asmawati Mohd Zabidi
Deposited On:26 Sep 2011 09:36
Last Modified:19 Jan 2017 08:22

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