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Proposing innovative modeling for Fischer–Tropsch synthesis product selectivity over Cobalt catalyst and skewness analyzing
Petroleum Science and Technology ( IF 1.5 ) Pub Date : 2019-12-26 , DOI: 10.1080/10916466.2019.1705859
Mohammad Riyahin 1 , Davod Mohebbi-Kalhori 1 , Hossein Zohdi-Fasaei 1 , Ali Akbar Mirzaei 2 , Hossein Atashi 1
Affiliation  

Abstract The effects of process conditions: temperature of 478–503 (K), pressure of 1.5–2.5 (MPa) and space velocity (SV) of 1–22.5 (NL gcat-1h-1) on Fischer-Tropsch product distribution were studied by using a 1-L stirred tank slurry reactor and a 0.48% Re–25% Co/Al2O3 catalyst . Response surface methodology was applied to investigate the effects of operating variables and optimization of reaction conditions. Analysis of variance (ANOVA) for modeling selectivity of methane, olefins, and C5+ indicated that mathematical quadratic models were significant. Furthermore, the interactions between operating parameters were analyzed. It was concluded that the maximum amount of C5+ and C2-C4 and the minimum amount of methane achieved in T = 478 K, P = 1.5 MPa and SV = 1 NL gcat-1h-1. In addition, the regression results indicated that the maximum average number of carbon and good skewness (∼1) was obtained in low pressure and temperature ranges. Also, data analysis showed that the reaction tended to produce more heavy hydrocarbons and less methane in a lower range of temperature. The prediction of the behavior of the reactor conditions and the control of industrial processes by the achieved models, as well as the reduction of costly errors during the process, are important points of use of these models.

中文翻译:

为费-托合成产物对钴催化剂的选择性和偏度分析提出创新模型

摘要 研究了工艺条件:温度 478–503 (K)、压力 1.5–2.5 (MPa) 和空速 (SV) 1–22.5 (NL gcat-1h-1) 对 Fischer-Tropsch 产物分布的影响通过使用 1-L 搅拌釜淤浆反应器和 0.48% Re–25% Co/Al2O3 催化剂。应用响应面方法研究操作变量的影响和反应条件的优化。对甲烷、烯烃和 C5+ 的选择性建模的方差分析 (ANOVA) 表明数学二次模型很重要。此外,还分析了操作参数之间的相互作用。得出的结论是,在 T = 478 K、P = 1.5 MPa 和 SV = 1 NL gcat-1h-1 时,C5+ 和 C2-C4 的最大量和甲烷的最小量达到。此外,回归结果表明,在低压和温度范围内获得了最大的平均碳数和良好的偏度(~1)。此外,数据分析表明,在较低的温度范围内,该反应往往会产生更多的重质烃和更少的甲烷。通过实现的模型预测反应器条件的行为和控制工业过程,以及减少过程中代价高昂的错误,是使用这些模型的重要点。
更新日期:2019-12-26
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