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Response surface methodology as an efficient tool for optimizing the Fischer–Tropsch process over a novel Fe–Mn nano catalyst

机译:响应面方法作为优化新型Fe-Mn纳米催化剂优化Fischer-Tropsch过程的有效工具

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A novel Fe–Mn–resol/SiO _(2) nano-catalyst with improved surface area and porosity was prepared using a co-precipitation method. Characterization of both the precursor and calcined catalysts was carried out using X-ray diffraction, scanning electron microscopy, energy dispersive X-ray analysis, temperature-programmed reduction, N _(2) adsorption–desorption, Fourier transform infrared spectroscopy and laser particle size analysis. The optimization of the process parameters for Fischer–Tropsch synthesis over the Fe–Mn–resol/SiO _(2) catalyst was developed using response surface methodology coupled with central composite design. The relationship between the responses, i.e. , CO conversion, light hydrocarbons, heavy hydrocarbons and alcohols fragments, with four independent variables, i.e. , pressure, H _(2) /CO molar ratio, gas hourly space velocity and temperature, was presented in the form of empirical mathematical models. Analysis of variance was used for an investigation into the validity and predictability of the Fischer–Tropsch synthesis. Experimental runs under optimal conditions were repeated and compared with the simulated values obtained from the model. There was good agreement between the experimental and simulated values.
机译:使用共沉淀法制备具有改善的表面积和孔隙率的新型Fe-Mn-reat / siO_(2)纳米催化剂。使用X射线衍射进行前体和煅烧催化剂的表征,扫描电子显微镜,能量分散X射线分析,温度编程的减少,N _(2)吸附 - 解吸,傅里叶变换红外光谱和激光粒度分析。使用与中央复合设计相结合的响应表面方法,开发了对Fe-Mn-reat / SiO_(2)催化剂的Fischer-Tropsch合成的过程参数的优化。介绍了响应,即CO转化,轻质烃,重烃和醇片段的关系,提出了具有四个独立变量,即压力,H _(2)/ CO摩尔比,气体小时空速和温度。经验数学模型的形式。方差分析用于调查Fischer-Tropsch合成的有效性和可预测性。重复在最佳条件下进行实验运行,并与从模型中获得的模拟值进行比较。实验和模拟值之间存在良好的一致性。

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