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Use of an unmanned aircraft system to quantify NOx emissions from a natural gas boiler
Atmospheric Measurement Techniques ( IF 3.8 ) Pub Date : 2021-02-09 , DOI: 10.5194/amt-14-975-2021
Brian Gullett 1 , Johanna Aurell 2 , William Mitchell 1 , Jennifer Richardson 3
Affiliation  

Aerial emission sampling of four natural gas boiler stack plumes was conducted using an unmanned aerial system (UAS) equipped with a lightweight sensor–sampling system (the “Kolibri”) for measurement of nitrogen oxide (NO), and nitrogen dioxide (NO2), carbon dioxide (CO2), and carbon monoxide (CO). Flights (n= 22) ranged from 11 to 24 min in duration at two different sites. The UAS was maneuvered into the plumes with the aid of real-time CO2 telemetry to the ground operators and, at one location, a second UAS equipped with an infrared–visible camera. Concentrations were collected and recorded at 1 Hz. The maximum CO2, CO, NO, and NO2 concentrations in the plume measured were 10 000, 7, 27, and 1.5 ppm, respectively. Comparison of the NOx emissions between the stack continuous emission monitoring systems and the UAS–Kolibri for three boiler sets showed an average of 5.6 % and 3.5 % relative difference for the run-weighted and carbon-weighted average emissions, respectively. To our knowledge, this is the first evidence of the accuracy performance of UAS-based emission factors against a source of known strength.

中文翻译:

使用无人驾驶飞机系统量化天然气锅炉的 NOx 排放

使用配备轻型传感器采样系统 (“Kolibri”) 的无人机系统 (UAS) 对四个天然气锅炉烟囱羽流进行空中排放采样,以测量氮氧化物 (NO) 和二氧化氮 (NO 2 ) 、二氧化碳(CO 2)和一氧化碳(CO)。航班 ( n =  22) 在两个不同地点的持续时间为 11 至 24 分钟。借助对地面操作员的实时 CO 2遥测,UAS 被操纵进入羽流,在一个位置,第二个 UAS 配备了红外可见相机。以 1 Hz 的频率收集和记录浓度。最大 CO 2、CO、NO 和 NO 2 测量的羽流中的浓度分别为 10 000、7、27 和 1.5 ppm。三台锅炉组的烟囱连续排放监测系统和 UAS-Kolibri 之间的 NO x排放比较显示,运行加权和碳加权平均排放的平均相对差异分别为 5.6% 和 3.5%。据我们所知,这是基于 UAS 的排放因子对已知强度源的准确性表现的第一个证据。
更新日期:2021-02-09
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