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Kinetic Parameter Estimation and Mathematical Modelling of Lipase Catalysed Biodiesel Synthesis in a Microreactor

机译:微反应器中脂肪酶催化生物柴油合成的动力学参数估计和数学建模

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摘要

Development of green, clean, and sustainable processes presents new challenges in today’s science. Production of fuel is no exception. Considering the utilisation of various renewable sources, the synthesis of biodiesel, characterised as more environmentally-friendly then fossil fuel, has drawn significant attention. Even though the process based on chemical transesterification in a batch reactor still presents the most used method for its production, enzyme catalysed synthesis of biodiesel in a microreactor could be a new approach for going green. In this research, edible sunflower oil and methanol were used as substrates and lipase from (Lipolase L100) was used as catalyst for biodiesel synthesis. Experiments were performed in a polytetrafluoroethylene (PTFE) microreactor with three inlets and in glass microreactors with two and three inlets. For a residence time of 32 min, the fatty acids methyl esters (FAME) yield was 30% higher than the yield obtained for the glass microreactor with three inlets. In comparison, when the reaction was performed in a batch reactor ( = 500 mL), the same FAME yield was achieved after 1.5 h. In order to enhance the productivity of the process, we used proposed reaction kinetics, estimated kinetic parameters, and a mathematical model we developed. After validation using independent experimental data, a proposed model was used for process optimization in order to obtain the highest FAME yield for the shortest residence time.
机译:开发绿色,清洁和可持续发展的流程对当今的科学提出了新的挑战。燃料生产也不例外。考虑到各种可再生资源的利用,生物柴油的合成具有比化石燃料更环保的特点,因此受到了极大的关注。即使基于间歇式反应器中化学酯交换的方法仍然是生产中使用最多的方法,在微反应器中酶催化合成生物柴油仍可能是绿色环保的新方法。在这项研究中,食用向日葵油和甲醇被用作底物,而(Lipolase L100)的脂肪酶被用作生物柴油合成的催化剂。在具有三个入口的聚四氟乙烯(PTFE)微反应器中以及在具有两个和三个入口的玻璃微反应器中进行实验。对于32分钟的停留时间,脂肪酸甲酯(FAME)的产率比具有三个入口的玻璃微反应器的产率高30%。相比之下,当反应在间歇式反应器(= 500 mL)中进行时,在1.5 h后达到相同的FAME收率。为了提高该过程的生产率,我们使用了建议的反应动力学,估算的动力学参数和我们开发的数学模型。在使用独立的实验数据进行验证之后,将提出的模型用于工艺优化,以便在最短的停留时间内获得最高的FAME产量。

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