首页> 外文会议>AWMA's (Air Waste Management Association) annual conference exhibition >FTIR and Advanced Gas Emissions Detection Techniques: 'They're Not Just for Breakfast (or Low-Level Emissions) Anymore'
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FTIR and Advanced Gas Emissions Detection Techniques: 'They're Not Just for Breakfast (or Low-Level Emissions) Anymore'

机译:FTIR和先进的气体排放检测技术:“它们不再只是早餐(或低水平排放)了”

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Initially, in the 1980's, Fourier Transform Infrared (FTIR) spectroscopy use and application was primarily confined to the emissions detection from the semiconductor and cement industries or to quantitate fugitive and flare releases. While emphasis appears to be directed towards how compounds can be detected at lower levels, FTIR and other detection techniques, such as particle size detectors, can be used in complex, concentrated, process gas streams, upstream of air pollution abatement equipment, to aid in, not only front-end feed process optimization, but also in the optimization, upgrading, and design of the abatement equipment as well as emission modeling using upstream data coupled with abatement efficiencies. Experience has shown that these detection tools may be superior to the manual testing techniques when applied to the upstream sides of industrial units because their principles of operation mitigate interferences from highly-concentrated chemical compounds. Presented here is the revolution of these advanced detection techniques, once thought to be reserved for low-level air emissions measurements, as useful engineering tools when applied to the process side of the industry and how they are being used for upstream optimization that translates into both operating efficiency as well as improved pollution abatement.
机译:最初,在1980年代,傅里叶变换红外(FTIR)光谱的使用和应用主要限于半导体和水泥行业的排放检测或定量逃逸和火炬释放。尽管重点似乎是如何以较低的水平检测化合物,但FTIR和其他检测技术(例如粒度检测器)可用于复杂,浓缩,工艺气流,空气污染消除设备的上游,以帮助不仅包括前端进料工艺的优化,还包括减排设备的优化,升级和设计以及使用上游数据和减排效率的排放建模。经验表明,当将这些检测工具应用于工业装置的上游时,它们可能优于手动检测技术,因为它们的工作原理可减轻高浓度化合物的干扰。此处介绍的是这些先进的检测技术的革命,这些技术曾经被认为仅用于低水平的空气排放测量,在应用于工业流程方面时,它们是有用的工程工具,以及如何将其用于上游优化,从而转化为两者运营效率以及改善的污染消除。

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