|Abstract Title:||Affordable long-term real-time fugitive methane detection and quantification using Gas cloud imaging (GCI) cameras|
|Presenter Name:||Dr Patrick O'Driscoll|
|Co-authors:||Dr Robert Kester|
Dr Bo Fu
Dr Jaehoon Lee
Abstract Information :
With increasing in regulatory requirement for fugitive methane emissions, cost-effective long-term real-time methane detection and quantification methodologies are desired. Among the various existing methodologies for methane detection, passive hyperspectral camera based detection is favored due to the flexibility in monitoring and the overall cost-effectiveness for long-term monitoring. Rebellion Photonics have delivered the first real-time passive hyperspectral camera product that can both detect and quantify fugitive methane in real-time. Initially, based on a pure physics based approach, the Gas Cloud Imaging system (GCI) system have been demonstrated to be capable of monitoring methane pipelines and other industrial facilities 24/7. In this presentation we present the latest development of methane detection algorithms at Rebellion Photonics, including our latest Physics Enhanced AI Real-time Logic (PEARL) gas analytics product.