首页> 外文期刊>International journal of green energy >RESPONSE SURFACE METHODOLOGY FOR OPTIMIZATION OF BIODIESEL PRODUCTION FROM HIGH FFA JATROPHA CURCAS OIL
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RESPONSE SURFACE METHODOLOGY FOR OPTIMIZATION OF BIODIESEL PRODUCTION FROM HIGH FFA JATROPHA CURCAS OIL

机译:响应面方法优化高FFA麻疯树油中生物柴油的生产

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摘要

In order to optimize reaction parameters of biodiesel production from high free fatty acid Jatropha curcas oil by alkali catalyst-based transesterification process, response surface methodology involving central composite design was applied. The effect of five-level three factors and their reciprocal interactions were studied. A total of 20 experiments were conducted and designed to study the effect of reaction temperature, catalyst quantity, and methanol to oil molar ratio on the biodiesel yield. A second-order polynomial regression model was fitted and found adequate with R~2 of 0.9879. The model predicted that the highest yield of methyl ester would be 81.93% at the following optimized conditions: reaction temperature of 61℃, alkali catalyst of 2.06% w/w of oil, and methanol to oil molar ratio of 7.28:1. Using these optimal factors under experimental conditions in three independent replicates, an average of 80.32 ± 0.82% yield was achieved and the value was well within the range predicted by the model.
机译:为了优化高游离脂肪酸麻风树油通过碱催化剂为基础的酯交换反应生产生物柴油的反应参数,采用了涉及中心复合设计的响应面方法。研究了五个层次的三个因素及其相互影响的作用。总共进行了20个实验,旨在研究反应温度,催化剂数量以及甲醇与油的摩尔比对生物柴油收率的影响。拟合二阶多项式回归模型,发现R〜2为0.9879足够。该模型预测,在以下优化条件下,最高甲酯产率为81.93%:反应温度为61℃,碱催化剂为油的2.06%w / w,甲醇与油的摩尔比为7.28:1。在实验条件下使用这些最佳因子进行三个独立的重复实验,平均收率达到80.32±0.82%,该值完全在模型预测的范围内。

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