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.

从环境的观点来看，用于生产清洁燃料的超深度脱硫具有重要意义。本文使用Mg（OH）₂以中试规模研究了野生石脑油的吸附脱硫（ADS）浸渍的铝硅酸盐陶瓷泡沫过滤器（ASCF）作为吸附剂。通过实验方法的中心复合设计，研究了温度，压力，吸附床长度和初始硫浓度四个操作参数对工艺脱硫效率的影响。Sobol的灵敏度分析用于定量确定操作参数对分离系统去除性能的影响。为了使脱硫最大化，进一步优化了该工艺。发现在较高的温度，压力，床长和初始浓度下脱硫是有利的。在理论上最优化的条件下，温度= 154.13°C，压力= 6 bar，最大硫去除效率为89.75％，床长= 106厘米，初始硫浓度为3000 ppm。重新检查了理论上的最佳条件，发现与实际实验条件符合97％。Sobol的灵敏度分析结果显示，温度是影响脱硫效果的最有效操作变量，与所有其他操作变量的影响相比，影响超过93％。