Author/Authors :
Hosseini، Seyed Ali نويسنده Faculty of Chemistry,Department of Applied Chemistry,Urmia University,Urmia,Iran , , Nouri، Sirus نويسنده Faculty of Chemistry,Department of Applied Chemistry,Urmia University,Urmia,Iran , , Hashemi، Sajad نويسنده Faculty of chemistry,Department of Applied chemistry,Urmia university,Urmia,Iran , , Akbari، Mansor نويسنده Faculty of Chemistry,Department of Applied Chemistry,Urmia University,Urmia,Iran ,
Abstract :
The removal of sulfur compounds from petroleum is extremely necessary for industrial and environmental reasons. Sulfur in transportation fuels is a major air pollution source. In this work, the efficiency of nanostructured Niclinoptilolite adsorbent was investigated in the removal of sulfur from gas oil. For this purpose, the design of experiments was performed by selecting effective factors in desulfurization process. Response surface methodology was selected to model the desulfurization process. Nicontaining nanoadsorbents were prepared by a wetimpregnation method. Gas oil model containing 300 ppmW [M. N.1] sulfur was prepared by dissolving a calculated amount of dibenzothiophene (DBT) in ndecane. The concentration of DBT in ndecane was determined by UV-Visible spectrophotometer. The results revealed that sulfur removal extremely depended on the amount of metal and the nature of both metal and support. 5% Ni/support adsorbent resulted in higher sulfur removal efficiency. The optimum ratio of H2O2 to gas oil in the studied conditions was in the range of 5% (v/v) and 240 minutes for the best desulfurization performance during the process.
Keywords :
Response surface methodology , Nickel Supported Nanoadsorbent , optimization , Desulfurization , Clinoptilolite
