Modeling and process optimization for microbial desulfurization of coal by using a two-level full factorial design |
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Authors: | T Golshani E Jorjani S Chehreh Chelgani SZ Shafaei Y Heidari Nafechi |
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Affiliation: | 1. Department of Mining Engineering, Science and Research Branch, Islamic Azad University, Tehran 16846-13114, Iran;2. Young Researchers and Elites club, Science and Research Branch, Islamic Azad University, Tehran 16846-13114, Iran;3. School of Mining Engineering, University of Tehran, Tehran 16846-13114, Iran |
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Abstract: | The microbial sulfur removal was investigated on high sulfur content (1.9%) coal concentrate from Tabas coal preparation plant. A mixed culture of ferrooxidans microorganisms was isolated from the tailing dam of the plant. Full factorial method was used to design laboratory test and to evaluate the effects of pH, particle size, iron sulfate concentration, pulp density, and bioleaching time on sulfur reduction. Statistical analyses of experimental data were considered and showed increases of pH and particle size had negative effects on sulfur reduction, whereas increases of pulp density and bioleaching time raised microbial desulfurization rate. According to results of designing, and regarding statistical factors, the optimum values for maximum sulfur reduction were obtained; pH (1.5), particle size (?180 μm), iron sulfate concentration (2.7 mmol/L), pulp density (10%) and bioleaching time (14 d), which leaded to 51.5% reduction from the total sulfur of sample. |
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Keywords: | Coal Microbial desulfurization Ferrooxidant microorganisms Statistical technique |
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