首页> 外文会议>Air and Waste Management Association annual conference and exhibition >Efficiency Analysis of Sequential Biotrickling- Biofiltration Treatment Systems for Emissions Control for Two Types of Petrochemical VOC Applications
【24h】

Efficiency Analysis of Sequential Biotrickling- Biofiltration Treatment Systems for Emissions Control for Two Types of Petrochemical VOC Applications

机译:顺序式生物滴滤-生物滤池处理系统用于两种石化VOC排放控制的效率分析

获取原文

摘要

The aim of this study was to compare the performance of a pilot and field-scale sequential biotrickling-biofiltration unit to remove hazardous air pollutants from two different oil and gas industry emissions. GC-MS characterization data indicated higher concentration of the aromatic compounds such as benzene and xylene in the wastewater sump at CITGO, Corpus Christi compared to the headspace of the storage tanks at Apache TAMU#2 tank battery, Snook. On the other hand, the concentration of the less water soluble compounds such as alkanes and alkenes were higher in the field test compared to the pilot test.The low concentration of the more biodegradable compounds such as benzene at the inlet of the full-scale unit at the upstream production site compared to the inlet of the pilot-scale system at the downstream refinery process unit led to the low concentration of the carbon and energy source for the microorganisms, low biomass growth and consequently lower destruction of the VOCs in the full-scale unit compared to the pilot scale unit. From an engineering perspective, comparison of the pilot and full-scale plant results indicates that the pilot study of the BTF-BF performance could be a timesaving tool for obtaining valuable data for the scale-up.
机译:这项研究的目的是比较中试和现场规模的生物滴滤-生物滤池装置从两种不同的石油和天然气工业排放物中去除有害空气污染物的性能。 GC-MS表征数据表明,与Apache TAMU#2储罐电池Snook的储罐顶部空间相比,科珀斯克里斯蒂市CITGO废水池中的芳族化合物(如苯和二甲苯)浓度更高。另一方面,与中试相比,现场测试中水溶性较低的化合物(例如烷烃和烯烃)的浓度较高,而全降解装置入口处的可生物降解性较高的化合物(例如苯)的浓度较低。与上游炼厂工艺单元中试规模系统的入口相比,上游生产基地的污染导致微生物的碳和能源浓度低,生物量低增长,从而降低了全过程中挥发性有机化合物的破坏。标尺单位与飞行员标尺单位的比较。从工程的角度来看,对中试和全规模工厂结果的比较表明,对BTF-BF性能的中试研究可能是节省时间的工具,可用于获取有价值的数据以进行大规模放大。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号