Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA.
School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA.
Sensors (Basel). 2021 Aug 24;21(17):5683. doi: 10.3390/s21175683.
Optical gas imaging through multispectral cameras is a promising technique for mitigation of methane emissions through localization and quantification of emissions sources. While more advanced cameras developed in recent years have led to lower uncertainties in measuring gas concentrations, a systematic analysis of the uncertainties associated with leak rate estimation have been overlooked. We present a systematic categorization of the involved uncertainties with a focus on a theoretical analysis of projection uncertainties that are inherent to this technique. The projection uncertainties are then quantified using Large Eddy Simulation experiments of a point source release into the atmosphere. Our results show that while projection uncertainties are typically about 5% of the emission rate, low acquisition times and observation of the gas plume at small distances from the emission source (<10 m) can amount to errors of about 20%. Further, we found that acquisition times on the order of tens of seconds are sufficient to significantly reduce (>50%) the projection uncertainties. These findings suggest robust procedures on how to reduce projection uncertainties, however, a balance between other sources of uncertainty due to operational conditions and the employed instrumentation are required to outline more practical guidelines.
通过多光谱相机进行光学气体成像是一种很有前途的技术,可通过定位和量化排放源来减少甲烷排放。虽然近年来开发的更先进的相机在测量气体浓度方面的不确定性有所降低,但对与泄漏率估算相关的不确定性的系统分析却被忽视了。我们对所涉及的不确定性进行了系统分类,重点对该技术固有的投影不确定性进行了理论分析。然后使用大气中释放点源的大涡模拟实验对投影不确定性进行了量化。我们的结果表明,虽然投影不确定性通常约为排放率的 5%,但在低采集时间和在离排放源较近的距离(<10 m)观察气体羽流的情况下,可能会导致约 20%的误差。此外,我们发现,采集时间为数秒量级就足以显著降低(>50%)投影不确定性。这些发现表明,有可靠的程序可以减少投影不确定性,但需要在操作条件和所使用仪器的其他不确定性源之间取得平衡,才能制定更实际的指南。