首页> 外文会议>International Laser Radar Conference >Standoff stack emissions monitoring using short range lidar
【24h】

Standoff stack emissions monitoring using short range lidar

机译:使用短程LIDAR进行支出堆栈排放监控

获取原文

摘要

There are well documented methods for stack emissions monitoring. These are all based on stack sampling through sampling ports in well defined conditions. Once sampled, the molecules are quantified in instruments that often use optical techniques. Unfortunately sampling ports are not found on all stacks/ducts or the use of the sampling ports cannot be planned efficiently because of operational constraints or the emissions monitoring equipment cannot be driven to a remote stack/duct. Emissions monitoring using many of the same optical techniques, but at a standoff distance, through the atmosphere, using short range high spatial resolution lidar techniques was thus attempted. Standoff absorption and Raman will be discussed and results from a field campaign will be presented along with short descriptions of the apparatus. In the first phase of these tests, the molecules that were targeted were NO and O_2. Spatially resolved optical measurements allow for standoff identification and quantification of molecules, much like the standardized methods, except for the fact that it is not done in the stack, but in the plume formed by the emissions from the stack. The pros and cons will also be discussed, and in particular the problem of mass emission estimates that require the knowledge of the flow rate and the distribution of molecular concentration in the plane of measurement.
机译:有很好的记录方法,用于堆栈排放监控。这些都基于堆栈采样通过在定义的条件下采样端口进行采样。一旦采样,分子在通常使用光学技术的仪器中量化。不幸的是,在所有堆叠/管道上找不到采样端口,或者由于操作约束,不能有效地规划采样端口,或者不能被驱动到远程堆叠/管道的排放监控设备。因此,尝试了使用许多相同光学技术的许多相同的光学技术,但是在通过大气中,使用短程高空间分辨率激光雷达技术。将讨论支座吸收和拉曼,并且将与该设备的简短描述一起展示域运动中的结果。在这些测试的第一阶段,靶向的分子是否,o_2。空间分辨的光学测量允许对分子的次数识别和定量,类似于标准化方法,除了它在堆栈中没有完成,而是在由堆叠的排放形成的羽毛中。还将讨论利弊,特别是需要了解流量的批量排放估计问题,这些估计是测量平面中的流速和分子浓度分布的问题。

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