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Using response surface methodology to optimize ultrasound-assisted oxidative desulfurization

  • Environmental Engineering
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Abstract

Latest strict environmental regulations have restricted the sulfur content of diesel fuels; therefore, deep desulfurization of fuels is required. Ultrasound-assisted oxidative desulfurization (UAOD) is an alternative for conventional desulfurization methods which can remove sulfur compounds from fuels under mild process conditions. In this study, UAOD of gasoil using tungstophosphoric acid catalyst and tetraoctylammonium bromide as a phase transfer agent in the presence of hydrogen peroxide as an oxidant was optimized. The optimal design of experiments was generated based on central composite face-centered design of Response surface methodology (RSM) to study effects of four process variables such as oxidant volume, mass of catalyst, mass of phase transfer agent and the ultrasonic wave amplitude on the sulfur conversion of gasoil. In addition, a predictive model of sulfur conversion was obtained based on RSM. The optimal values of process variables were evaluated to be 21.96 mL of oxidant, 1 gr of catalyst and 0.1 gr of phase transfer agent to achieve the maximum sulfur conversion of 95.92%.

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Authors and Affiliations

  1. Gas Department, Research Institute of Petroleum Industry (RIPI), West Boulevard of Azadi Stadium, P. O. Box 14665-1998, Tehran, Iran

    Javad Alaei Kadijani

  2. School of Chemical Engineering, Iran University of Science and Technology, P. O. Box 16765-163, Tehran, Iran

    Elhameh Narimani & Hessameddin Alaei Kadijani

Authors
  1. Javad Alaei Kadijani
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  2. Elhameh Narimani
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  3. Hessameddin Alaei Kadijani
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Correspondence to Elhameh Narimani.

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Kadijani, J.A., Narimani, E. & Kadijani, H.A. Using response surface methodology to optimize ultrasound-assisted oxidative desulfurization. Korean J. Chem. Eng. 33, 1286–1295 (2016). https://doi.org/10.1007/s11814-015-0276-7

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