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Ehsan Salehi

Ehsan Salehi

Academic rank: Professor
ORCID: https://orcid.org/0000-0003-4409-1242
Education: PhD.
ScopusId: 25643697300
Faculty: Engineering
Address: Arak University
Phone: 086-32625020

Research

Title
Adsorptive desulfurization of wild naphtha using magnesium hydroxidecoated ceramic foam filters in pilot scale: Process optimization and sensitivity analysis
Type
JournalPaper
Keywords
Adsorptive desulfurization, Optimization, Sensitivity analysis, Temperature
Year
2020
Journal Chemical Engineering and Processing: Process Intensification
DOI
Researchers Ehsan Salehi ، Mahdi Askari ، Saeedeh Afshar ، Babak Eidi ، Mohammad Hosein Aliei

Abstract

Ultra-deep desulfurization for production of clean fuels is of great significance from environmental outlook. In this paper, adsorptive desulfurization (ADS) of wild naphtha was investigated in pilot scale using Mg(OH)2- impregnated aluminosilicate ceramic foam filters (ASCFs) as adsorbent. Effects of four operating parameters including temperature, pressure, adsorption bed length and initial sulfur concentration on sulfur removal efficiency of the process were studied via central composite design of experiment methodology. Sobol’s sensitivity analysis was employed to quantitatively determine the impacts of the operating parameters on the removal performance of the separation system. The process was further optimized for the maximization of sulfur removal. Sulfur removal was found to be favored at higher temperatures, pressures, bed lengths and initial concentrations. Maximum sulfur removal efficiency was found to be 89.75% at the theoretically optimized conditions of temperature =154.13 °C, pressure =6 bar, bed length = 106 cm and initial sulfur concentration of 3000 ppm. The theoretical optimal conditions were rechecked and found to be in 97% agreement with the actual experimental conditions. Sobol’s sensitivity analysis results disclosed that temperature is the most affective operating variable on the sulfur removal with more than 93% impact compared to the impact of all the other operating variables