生物柴油合成中FFA酯化反应精馏稳态与动态模拟研究

R. D. Kusumaningtyas, H. Prasetiawan, D. Nugroho, Ajeng Riswanti Wulandari, I. Istadi, A. Hisyam
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引用次数: 0

摘要

反应蒸馏(RD)集反应和分离于一体,有望在生物柴油生产中强化工艺。它简化了过程并提高了平衡受限反应的转化率。为了确保RD操作的稳定性,有必要进行灵敏度研究和过程控制模拟。在本工作中,RD被用于合成生物柴油中混合非食用油的游离脂肪酸(FFA)酯化。使用的非食用油是废弃的食用油、粗麻疯树油和粗nyamplung油(Calophyllum inophyllum L)。使用ASPEN Plus V8.8进行模拟。进行了敏感性研究,以确定操作条件改变的影响。作为比例积分微分(PID)控制器的调谐,进行了动态仿真。结果表明,最高的FFA转化率为85%,在进料阶段为7,馏出物速率为0.22kmol/hr,油与甲醇摩尔比为1:5时实现。在RD中安装液位、压力和温度控制器。然后,应用动态仿真作为PID控制器的整定。研究了三种不同的控制器整定方法,即Ziegler-Nichols、Cohen-Coun和内部模型控制。采用Cohen Coon方法获得了最佳PID参数,该方法具有最快的上升时间、最低的稳定时间和最低的超调量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Steady-State and Dynamic Simulation Study of Reactive Distillation for FFA Esterification in Biodiesel Synthesis
Reactive distillation (RD) holds promise for process intensification in biodiesel production since it integrates reaction and separation. It simplifies the process and enhances the conversion of the equilibrium limited reactions. To ensure the stability in RD operation, sensitivity study and process control simulation are necessary. In this work, RD was employed for free fatty acid (FFA) esterification of mixed non edible oils in biodiesel synthesis. Non edible oils used were waste cooking oil, crude jatropha oil, and crude nyamplung oil (Calophyllum inophyllum L). Simulation was conducted using ASPEN Plus V8.8. Sensitivity study was carried out to determine the effects of the operating condition alteration. A dynamic simulation was performed as a Proportional-Integral-Derivative (PID) controller tuning. It was revealed that the highest FFA conversion was 85%, achieved at the feed stage of 7, distillate rate of 0.22 kmol/hr, and oil to methanol molar ratio of 1:5. Level, pressure and temperature controls were installed in RD. Then, a dynamic simulation was applied as a PID controller tuning. Three different controller tuning methods, viz. Ziegler-Nichols, Cohen-Coon, and Internal Model Control, were studied. The best PID parameter was obtained by using Cohen-Coon method which provided fastest rise time, lowest settling time and lowest overshoot.
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