How does it work?
The lidar's laser is continuously tuned in wavelength over an
absorption line of the gas molecule of interest, in this case
methane in the near-infrared at 1651nm. The laser is
simultaneously amplitude modulated with a random code and is
projected by the lidar transceiver out onto objects in the
distance, passing through any gas plumes between the solid
object and the lidar. Light scattered off surfaces in the
distance travels back into the transceiver and is detected by
the SPAD.
The time-correlated lidar signal gives the distance to
scattering surface and using absorption spectroscopy enabled
by the laser tuning, the gas concentration pathlength (ppm*m)
is measured along each pointing vector of the laser as the
lidar scanner - a set of rotating Risley prisms - scans the
beam across the lidar's circular, two-dimensional field of
view (FoV). This provides a lidar point cloud from which lidar
images (lidar intensity and range) and a gas density image of
any gas plume within the FoV can be produced.
Scanning the lidar's laser around a scene builds up a 3D
picture (lidar point cloud) of objects and gas showing the
exact plume location, shape and size.
The total gas volume is calculated by summing up the
individual gas density measurements at each point and then
using the lidar distance measurement to determine the physical
size of the plume as seen by the lidar. To calculate gas
emission (flow) rate, the wind speed and direction is measured
locally with an anemometer and this data is used to calculate
the volumetric flow of the gas plume through the FoV.
To date, QLM has produced lidars for detecting CH4
and CO2, and we plan to add other gas species in
the near future such as ammonia.
QLM Analytics - transforming lidar data into actionable
information
QLM's system captures environmental and lidar point cloud data
that contain a wealth of time-based, 3-dimensional and gas
plume information. This rich dataset can be mined with the
customizable analytics in the QLM Cloud solution to support a
variety of operational objectives - from early warning and
remote leak detection, to LDAR supplementation to emissions
reporting, management and compliance for ESG or RSG
initiatives. QLM's unique lidar technology not only uncovers
individual sources of fugitive emissions on a facility, but it
can also be used to produce a highly-credible, full-site
measurement of emissions with very high time resolution for
regulatory emissions compliance purposes.
To prioritize actions to address emitters, we want to know:
- What exactly is leaking (and what is not leaking!)
- How big is it?
- When did it start/end?
- Is it a vent or a leak?
- Is it expected or unexpected?
- Is it a safety issue?
- Is it caused by routine activity?
- Is it real and not from some other site or source?
-
And most important of all, is it actionable - with what
urgency?
Emission sources have characteristics we can measure that
define their importance:
- Emission Rate & Variation
- Duration / Persistence
- Location
- Timing Patterns
QLM's analytics transform these data to prioritized actions.
QLM's technology has been thoroughly evaluated by industry and
accredited third party and academic organizations. These
include multiple test campaigns at the Colorado State
University METEC (Methane Technology Evaluation Center )
facility, multiple tests at the TotalEnergies TADI (Total
Anomaly Detection Initiative) facility in France, and multiple
tests at the UK National Physical Laboratory (NPL).