刘荣厚, 曹卫星, 黄彩霞. 菜籽油碱催化酯交换法制备生物柴油工艺参数的优化[J]. 农业工程学报, 2010, 26(6): 245-250.
    引用本文: 刘荣厚, 曹卫星, 黄彩霞. 菜籽油碱催化酯交换法制备生物柴油工艺参数的优化[J]. 农业工程学报, 2010, 26(6): 245-250.
    Optimization of process parameters of biodiesel production from rapeseed oil with alkaline catalyzed transesterification method[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(6): 245-250.
    Citation: Optimization of process parameters of biodiesel production from rapeseed oil with alkaline catalyzed transesterification method[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(6): 245-250.

    菜籽油碱催化酯交换法制备生物柴油工艺参数的优化

    Optimization of process parameters of biodiesel production from rapeseed oil with alkaline catalyzed transesterification method

    • 摘要: 为获得最佳反应条件,在单因素试验的基础上,采用响应面法对菜籽油碱催化酯交换法制备生物柴油的工艺参数进行了优化试验,结果表明,预测酯交换反应过程中菜籽油转化率变化的回归方程拟合程度良好,最优工艺参数为:醇油摩尔比6.12︰1,催化剂用量0.9%,反应时间40 min,反应温度57.74℃,并且在最优工艺参数下进行了验证试验,得到菜籽油转化率为97.43%,与预测值的误差为0.4%,小于5%。对生物柴油的组成成分进行了气相色谱/质谱联用(GC/MS)分析,结果表明,脂肪酸甲酯质量分数达到99.54%。因此,利用响应面分析法得到的最优工艺参数真实可靠,制得的生物柴油品质较好。

       

      Abstract: In order to get the best conditions of reaction, based on one-factor tests, response surface methodology was applied to optimize the process parameters of biodiesel production from rapeseed oil with alkaline catalyzed transesterification method. The results showed that, regression equation of the variation of rapeseed oil conversion rate during transesterification reaction fitted very well. The optimal parameters were determined as follows, molar ratio of methanol to rapeseed oil, catalyst dosage, reaction time and reaction temperature were 6.12:1, 0.9%, 40 min and 57.74℃ respectively. Under the optimal conditions, verification tests showed that the conversion rate of rapeseed oil reached 97.43%, and the error was 0.4%, less than 5% compared with the predicted value. GC/MS analysis showed that the content of fatty acid methyl ester in biodiesel was 99.54%. Thus, the optimized conditions obtained using response surface methodology is reliable and the quality of the biodiesel was very good.

       

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