从西瓜种子油中优化微波辅助生物柴油生产,使用热修饰的Kale泥作为基础催化剂
Sunday Chukwuka Iweka1, Olayomi Abiodun Falowo2, Adebimpe Amos Amosun3
1Department of Mechanical Engineering, Delta State University of Science and Technology, Ozoro, Nigeria.
Heliyon
|August 4, 2023
概括
来自红色泥的新型催化剂可以有效地从西瓜种子中生产生物柴油. 机器学习模型优化了这一过程,实现了高产量,并证明了可持续生物燃料生产的卓越预测准确性.
科学领域:
- 催化剂是一种催化剂.
- 绿色化学 绿色化学
- 可再生能源可再生能源是可再生能源.
背景情况:
- 生物柴油生产在催化剂效率和过程优化方面面临挑战.
- 可持续且具有成本效益的催化剂对生物燃料行业至关重要.
- 西瓜种子油是生物柴油生产中未充分利用的原料.
研究的目的:
- 从红色泥开发一种新的异质催化剂,用于生物柴油生产.
- 通过中央复合设计和机器学习,模拟和优化西瓜种子油的生物柴油产量.
- 评估机器学习的性能和准确性与中央复合设计对比,以优化流程.
主要方法:
- 通过在900°C的热处理,从红色泥中合成了一种异质的催化剂.
- 中央复合设计 (CCD) 和机器学习 (Python) 用于过程建模和优化.
- 生物柴油产量使用气体染色学-质谱学 (GC-MS) 来分析.
主要成果:
- 合成的催化剂呈现出高孔度 (42.16 m2/g),稳定性和催化活性.
- 使用CCD优化实现了93.41%的最大生物柴油产量.
- 与CCD (R2=0.9827) 相比,机器学习模型显示出更高的预测准确性 (R2=1.0).
- 生物柴油的性能符合推标准,已确定脂肪酸甲基.
结论:
- 一个有效的,绿色的催化剂来自土废物可以显著提高生物柴油生产从西瓜种子油.
- 与CCD相比,机器学习为优化生物柴油产量提供了更准确,更可靠的方法.
- 这项研究强调了利用废物材料生产生物燃料的可持续性和经济可行性.
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