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Variance based sensitivity analysis and statistical optimization of design and operating parameters of spiral wound pervaporation modules for thiophene removal from FCC gasoline
Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2020-06-26 , DOI: 10.1016/j.compchemeng.2020.106987
Rohan Sharma , Manish Jain

Global sensitivity analysis and optimization is an essential step to understand the overall influence of input parameters. In this study, the influence of different operating and design parameters of the spiral wound pervaporation module is examined for the desulfurization of model gasoline. Feed temperature is found most influential parameter among all parameters for flux and enrichment factor. The sensitivity of other parameters is found relatively lesser. For temperature drop in the feed section and pressure drop in the permeate section, influences of design parameters become significant. The influence of interactions among input parameters on the decision variables is also found substantial except for total flux.

Later, different operating and design parameters were also optimized. Lower permeate pressure, higher feed temperature, and Reynolds number are found better-operating conditions, and lower L/W (length to width ratio of a membrane leaf), smaller membrane area and the higher number of leaves are found better design conditions.



中文翻译:

基于方差的灵敏度分析以及用于FCC汽油中去除噻吩的螺旋缠绕式全蒸发模块的设计和运行参数的统计优化

全局灵敏度分析和优化是了解输入参数的整体影响的重要步骤。在这项研究中,考察了螺旋缠绕式全蒸发模块的不同运行和设计参数对模型汽油脱硫的影响。进料温度是所有通量和富集系数参数中影响最大的参数。发现其他参数的灵敏度相对较小。对于进料部分的温度下降和渗透物部分的压力下降,设计参数的影响变得显着。除了总通量外,还发现输入参数之间的交互对决策变量的影响很大。

后来,还优化了不同的操作和设计参数。较低的渗透压,较高的进料温度和雷诺数被认为是更好的操作条件,而较低的L / W(膜叶的长宽比),较小的膜面积和较高的叶数被认为是更好的设计条件。

更新日期:2020-06-27
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