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Use of an unmanned aircraft system to quantify NOsubix/i/sub emissions from a natural gas boiler

机译:使用无人驾驶飞机系统来量化自然燃气锅炉的 x 排放量

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摘要

Aerial emission sampling of four natural gas boiler stack plumes wasconducted using an unmanned aerial system (UAS) equipped with a lightweightsensor–sampling system (the “Kolibri”) for measurement of nitrogen oxide(NO), and nitrogen dioxide (NO2), carbon dioxide (CO2), and carbonmonoxide (CO). Flights (n = 22) ranged from 11 to 24 min in duration attwo different sites. The UAS was maneuvered into the plumes with the aid ofreal-time CO2 telemetry to the ground operators and, at one location, asecond UAS equipped with an infrared–visible camera. Concentrations werecollected and recorded at 1 Hz. The maximum CO2, CO, NO, and NO2concentrations in the plume measured were 10 000, 7, 27, and 1.5 ppm, respectively. Comparison of the NOx emissions between the stackcontinuous emission monitoring systems and the UAS–Kolibri for three boilersets showed an average of 5.6 % and 3.5 % relative differencefor the run-weighted and carbon-weighted average emissions, respectively. Toour knowledge, this is the first evidence of the accuracy performance ofUAS-based emission factors against a source of known strength.
机译:四种天然气锅炉叠层的空中排放采样使用配备有轻量级传感器 - 取样系统(“Kolibri”)的无人机系统(UAS)进行用于测量氮氧化物(NO)和二氧化氮(NO2),二氧化碳(CO2)和碳氧化碳氧化物(CO)。航班(n = 22)在持续时间的不同网站上的11至24分钟。通过对地面运算符的辅助时间CO2遥测,在一个位置,亚进载能器的辅助遥控器中的辅助装置进行了处理到羽毛中,配备红外线可见相机。浓度在1赫兹时效果。测量的羽流中的最大CO 2,CO,NO和NO2CONCHATION分别为10 000,7,27和1.5ppm。对于三个盆座的堆叠堆积发射监测系统和UAS-Kolibri之间的NOx排放的比较分别显示了对牛加权和碳加权平均排放的平均值为5.6%和3.5%。为了知识,这是第一个证据表明,基于源于已知强度的源的基于源的排放因子。

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