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Modeling and process optimization for microbial desulfurization of coal by using a two-level full factorial design
Department of Mining Engineering, Science and Research Branch,Islamic Azad University.
Department of Mining Engineering, Science and Research Branch,Islamic Azad University.
Young Researchers and Elites club, Science and Research Branch, Islamic Azad University, Iran.ORCID iD: 0000-0002-2265-6321
School of Mining Engineering, University of Tehran, Iran.
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2013 (English)In: International Journal of Mining Science and Technology, ISSN 2095-2686, Vol. 23, no 2, p. 261-265Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2013. Vol. 23, no 2, p. 261-265
Keywords [en]
Coal, Microbial desulfurization, Ferrooxidant microorganisms, Statistical technique
National Category
Mineral and Mine Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-72279DOI: 10.1016/j.ijmst.2013.04.009Scopus ID: 2-s2.0-84879556418OAI: oai:DiVA.org:ltu-72279DiVA, id: diva2:1272073
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2019-02-25

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Chelgani, Saeed Chehreh

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