Dr. Michael Schuppenhauer

Principal Investigator, Affiliate Berkeley Lab

Main Conference Day 1: Wednesday, December 4

Oil & Gas is responsible for significant methane leakages estimated to be 4.2% of total US GHG emissions in 2022 and has been singled out with regulations to measure and mitigate those.
Yet, the two key other emitting sources are biogenic in nature, i.e. agricultural and waste emissions, constituting at least 60% of total methane emissions, mainly from dairy/ruminants, rice cultivation, and landfills. However, those emissions are, much like other low-level emissions, not tractable for current measurement technologies at scale, as they do not come with thermal signatures or in amounts large enough to reach sensitivity levels of IR camera or satellite levels in kg to ton per hour range.
While there are stationary eddy covariance systems capable of measuring these irregular, low-level, areal methane emissions, they are not mobile, cheap or scalable to capture the vast remaining 2/3 of methane emissions, including pipelines, wells or instrument leaks below detection levels.
Combining heavy-lift NDAA-compliant drones with an ultra-lightweight mid-infrared sensor is striking a compromise between sensitivity, accuracy, and scale through mobility to reach beyond large point-emitters and reach the vastly larger pool of many small point and area sources that emit below kg/h down to less than 1/10th of a g per h.

Check out the incredible speaker line-up to see who will be joining Michael.

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