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用CFD,GENN和NSGA-II进行费舍尔-托普施合成的微通道反应器的多目标优化设计

Shijie Ren¹, Yuanyang Wang²

¹Taiyuan University of Science and Technology, College of Materials Science and Engineering, College of Energy and Materials Engineering 66 Waliu Road, Wanbailin District Taiyuan Shanxi Province 030024 China renshijie@tyust.edu.cn.

|January 12, 2026

概括

这项研究优化了Fischer-Tropsch合成的微通道反应器,显著提高了产品产量和提高了热安全性. 改进的设计为工业应用提供了有价值的参考.

科学领域:

化学工程是化学工程的重要组成部分.
过程强化过程强化
催化剂是一种催化剂.

背景情况:

与固定式反应堆相比,微通道反应堆在菲舍-托普施合成中提供了显著的过程强化.
优化几何变量对于提高催化性能和安全至关重要.

研究的目的:

系统地评估几何变量对多管微通道反应堆性能的影响.
为了优化反应堆设计,最大限度地提高C5+产量并最大限度地降低温度上升.

主要方法:

结合计算流体动力学 (CFD) 与渐变增强的神经网络替代模型.
使用非主导排序遗传算法-II进行多目标优化.
分析帕雷托边界,以平衡热安全和生产力.

主要成果:

最佳配置将最大温度升高 (ΔTmax) 降低了7.2°C.
最佳配置增加了C5+产量 (Y_C5+) 的一个因子1.86.6.
在反应堆性能方面取得了实质性的改进.

结论:

优化的微通道反应堆设计显著提高了菲舍-托普施合成效率和安全性.
为试点规模和工业部署提供理论基础和设计参考.
证明了CFD替代模型合用于反应堆优化的有效性.

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