推进汽油脱硫:系统技术中的多目标模糊优化
Stephen S Correa1, Kate Andre T Alviar1, Angel Nicole V Arbilo1
1Department of Chemical Engineering, De La Salle University, 2401 Taft Ave, Manila, 0922, Philippines.
Heliyon
|July 4, 2024
概括
超声波辅助氧化脱硫 (UAOD) 通过平衡效率和成本来优化汽油清洁. 这种方法为工业应用提供了一种可行的,具有成本效益的方法.
科学领域:
- 环境化学环境化学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 燃料产生的硫排放导致环境问题.
- 超声波辅助氧化脱硫 (UAOD) 是一种有前途的硫去除技术.
- 之前的研究重点是针对UAOD有效性的响应表面方法.
研究的目的:
- 评估汽油脱硫的UAOD效率和运营成本.
- 使用多目标模糊优化 (MOFO) 方法确定最佳运行条件.
- 评估汽油UAOD的经济可行性.
主要方法:
- 采用多目标模糊优化 (MOFO) 方法.
- 使用最大-最小聚合用于模糊模型优化.
- 确定了最佳条件:超声波功率445.43W,辐射时间4.74分钟,氧化剂6.73毫升.
主要成果:
- 实现了78.64%的脱硫效率 (YA),运营成本为13.49美元/升.
- 在最佳条件下达到66.79%的满意度.
- 与现有文献相比,证明效率和成本较低.
结论:
- MOFO为汽油脱硫提供了一个可行的经济解决方案.
- 优化条件简化了流程,降低了运营成本.
- 为未来的工业规模UAOD实施提供了洞察力.
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