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Numerical modeling and optimization of product selectivity and catalyst activity in Fischer-Tropsch synthesis via response surface methodology: Cobalt carbide particle size and H_2/CO ratio effects

机译:响应面法中Fischer-Tropsch合成产品选择性和催化剂活性的数值模拟与优化:碳化钴粒径和H_2 / CO比效应

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The effects of cobalt carbide (Co2C) catalyst particle size and usage ratio (H-2/CO) on the Fischer-Tropsch selectivity, cobalt time yield and turnover frequency were investigated through statistical modeling by means of response surface methodology based on the data obtained over seven SiO2 supported cobalt catalysts at three different usage ratio levels. The effects of predictor variables on responses are illustrated in contour and surface plots and analyzed based on both model equation and plots. C5+ selectivity was found to increase with increasing Co2C particle size up to the range of 9.6-11.75 nm, after which decreases slightly. Furthermore, a linear relationship was detected between CH4 selectivity and C5+ selectivity for predicted data at all H-2/CO ratios (0.5-2) in the Co2C particle size range of 5.3-9.4 nm. Multi-objective optimization conducted for the enhancement of C5+ selectivity predicted the particle size of 6.795 nm and usage ratio of 0.500 as optimum conditions. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:通过基于所获得的数据,通过统计建模研究了碳化钴(CO2C)催化剂粒度和使用率(H-2 / CO)对Fischer-Tropsch选择性,钴时间产量和周转频率的影响超过七种SiO 2支持三种不同的使用率水平的钴催化剂。在轮廓和表面图中示出了预测变量对响应的影响,并基于模型方程和图分析。发现C5 +选择性随着CO2C粒度的增加而增加,高于9.6-11.75nm,在此之后略微降低。此外,在CH 4选择性和C5 +选择性之间检测到线性关系,用于在CO 2C粒度范围为5.3-9.4nm的所有H-2 / CO比(0.5-2)的预测数据之间。对C5 +选择性增强进行的多目标优化预测了6.795nm的粒度,使用率为0.500作为最佳条件。 (c)2020氢能源出版物LLC。 elsevier有限公司出版。保留所有权利。

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