模拟和优化Jatropha油转化为脂肪酸甲基的转化:应用响应表面方法 (CCD) 和Taguchi直角方法
Cyrus Aseibichin1, Wisdom Chukwuemeke Ulakpa2, Ikoko Omenogor3
1Department of Chemical/Petrochemical Engineering, Rivers State University Nkpolu-Oroworukwo Port Harcourt 500101 Nigeria.
RSC advances
|April 15, 2024
概括
这项研究利用响应表面方法 (RSM) 和Taguchi方法优化了用于生物柴油生产的Jatropha油转化. RSM获得了94.10%的更高脂肪酸甲基 (FAME) 产量,而Taguchi提供了更高的成本效益.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 可再生能源可再生能源来源
- 过程优化 过程优化
背景情况:
- 来自Jatropha油的生物柴油生产对于可持续能源至关重要.
- 优化转化过程是提高生物柴油产量和质量的关键.
- 开发具有成本效益和有效的生物柴油合成方法是一个持续的挑战.
研究的目的:
- 用响应表面方法 (RSM) 和Taguchi直角方法优化Jatropha油转化为脂肪酸甲基 (FAME).
- 确定最佳的过程参数,以最大限度地提高生物柴油产量和效率.
- 在此优化中比较RSM和Taguchi方法的有效性和成本效益.
主要方法:
- 优化五个关键的过程参数:甲醇与油的比率,催化剂重量,反应温度,反应持续时间和速度.
- 响应表面方法 (RSM) 与中央复合设计 (CCD) 的应用.
- 塔古奇直角法用于实验设计和分析的应用.
- 使用一种纳米催化剂,该催化剂来自氧化物 (CaO),通过水热技术从牛中合成.
主要成果:
- 在优化条件下 (5:1甲醇/油,1.5%催化剂,50°C,45分钟,250rpm) RSM实现了94.10%的最大FAME产量.
- 塔古奇方法预测FAME产量为86.36%,具有不同的最佳参数 (4:1甲醇/油,0.5%催化剂,60°C,25分钟,200rpm).
- 差异分析 (ANOVA) 表明,甲醇与油的比率显著影响了产量 (49.61%),RSM显示的确定系数 (R2=0.9943) 比Taguchi.
结论:
- 无论是RSM方法还是Taguchi方法都对优化Jatropha油转化有效.
- RSM提供了更高的产量,而塔古奇方法提供了更高的成本效益.
- 甲醇与油的比率是影响生物柴油产量的最关键参数,强调了优化可再生燃料生产过程参数的重要性.
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