通过人工智能技术在不同季节优化基尔库克炼油厂的燃烧气体
A Zoeir1, J Qajar1, Y Kazemzadeh2
1Department of Petroleum Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz, Iran.
Scientific reports
|August 17, 2023
概括
在基尔库克炼油厂优化了火焰堆布局,减少了有害污染物排放. 该研究使用模拟和神经网络来找到城市和农场附近空气质量的最佳安排.
科学领域:
- 环境工程 环境工程
- 化学工程是化学工程的重要组成部分.
- 计算流体动力学的流体动力学.
背景情况:
- 炼油厂的燃烧会释放大量污染物,对附近的城市和农业地区构成风险.
- 基尔库克炼油厂靠近住宅和农田,因此迫切需要优化火焰堆布局.
研究的目的:
- 开发和应用一种计算方法来优化炼油厂火焰堆布局.
- 通过管理有毒气体排放和传播,尽量减少对环境的影响.
主要方法:
- 开发了用于模拟氧化和污染物生成反应的 MATLAB 代码.
- 使用FLUENT软件进行考虑季节性空气流的污染物分散模型.
- 采用神经网络方法,基于模拟数据进行快速布局优化.
主要成果:
- 优化效率取决于空气流的速度和方向.
- 在中间空气流处的最佳布局涉及使用现有火焰堆的子集.
- 像粒子群和人工免疫系统这样的启发式技术对于中间气流 (夏季/秋季) 是有效的,而蒙特卡洛适合低流量冬季条件.
结论:
- 结合模拟和神经网络的数据驱动方法可以有效地优化炼油厂火焰堆布局.
- 调整优化策略以适应季节性气流模式,对于最大限度地减少排放和保护环境至关重要.
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