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首页> 外文期刊>Energy Conversion & Management >Taguchi design approach for extraction of methyl ester from waste cooking oil using synthesized CaO as heterogeneous catalyst: Response surface methodology optimization
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Taguchi design approach for extraction of methyl ester from waste cooking oil using synthesized CaO as heterogeneous catalyst: Response surface methodology optimization

机译：Taguchi设计方法，使用合成的CaO作为非均相催化剂从废食用油中提取甲酯：响应面方法的优化

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摘要

The ongoing requirements for fuel in meeting the ever-growing demand in commercial sector have pushed researchers in finding and optimizing the production of biofuels from cheap sources, enabling for a sustainable production. The present study aims at bridging the gap in optimizing the process parameters which are required for converting cheap waste cooking oil (WCO) into methyl esters, using cost effective source of heterogeneous catalyst (Egg shells). Characterization of synthesized calcium oxide (CaO) and the methyl esters were performed. Catalyst calcinations temperature (C-Temp), catalyst calcinations time (C-Time), catalyst loading (C-L), alcohol to oil ratio (A(O)), reaction temperature (R-Temp) and reaction time (R-Time) were being analyzed in a 3-level-6-factor array using an L27 Taguchi orthogonal array (OA). Response surface methodology (RSM) optimization and analysis of variance (ANOVA) test are carried out for determining the most significant parameter. Amongst the entire variable, the transesterification reaction temperatures have a contribution of 30.14%, followed by calcinations temperature with 29.70%. A confirmation test is conducted using the optimal values from both RSM and ANOVA and a yield of 96.6 +/- 0.05% and 96.3 +/- 0.10% respectively is obtained which is more than the predicted value of 96.08% and at par with studies of researchers work. Thus, at same OA design, RSM and ANOVA can be equally applied for optimization.
机译：为了满足商业部门不断增长的需求，对燃料的持续需求推动了研究人员寻找和优化廉价来源生物燃料的生产，从而实现了可持续的生产。本研究旨在利用成本有效的非均相催化剂（蛋壳）来缩小优化廉价的食用油（WCO）转化为甲酯所需的工艺参数的差距。对合成的氧化钙（CaO）和甲酯进行了表征。催化剂煅烧温度（C-Temp），催化剂煅烧时间（C-Time），催化剂负载量（CL），醇油比（A（O）），反应温度（R-Temp）和反应时间（R-Time）使用L27 Taguchi正交阵列（OA）在3级6因子阵列中进行分析。为了确定最重要的参数，进行了响应面方法（RSM）优化和方差分析（ANOVA）测试。在整个变量中，酯交换反应温度占30.14％，其次是煅烧温度29.70％。使用来自RSM和ANOVA的最佳值进行确认测试，得出的产率分别为96.6 +/- 0.05％和96.3 +/- 0.10％，高于96.08％的预测值，与研究人员的工作。因此，在相同的OA设计中，RSM和ANOVA可以同等地应用于优化。

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