Project Canary and Colorado School of Mines Pioneer Advancement of Methane Emissions Quantification Models
August 07 2024 - 9:35AM
Business Wire
The project is the first-of-its-kind in-depth
performance evaluation of open-source and proprietary methane
emissions quantification models on Natural Gas Production Sites
Project Canary, a climate tech company focused on enterprise
emissions data management, and Colorado School of Mines (Mines)
today announced their collaboration to evaluate the performance of
models for methane emission flux rate estimation on natural gas
production sites using single-blind controlled release data.
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The project is the first-of-its-kind
evaluation of methane emissions quantification models on Natural
Gas Production Sites. (Graphic: Business Wire)
Project Canary’s emissions detection, localization, and
quantification algorithms have been developed from knowledge gained
from over a year of controlled release testing and working with
500+ operators to quantify emissions at oil and gas production and
midstream facilities.
Separately, Mines’ Dr. Dorit Hammerling and her team have
developed an open-source modular framework that uses concentration
and wind data from point-in-space continuous monitoring systems to
detect, localize, and quantify methane emissions. Comparing the two
models' performance using single-blind controlled release data
helps expand knowledge of emissions quantification and its existing
challenges to advance the state of emission event characterization
and total site emissions quantification.
This study will include two sets of single-blind controlled
release data; (i) collected at the Colorado State University’s
Methane Emissions Technology Evaluation Center (METEC) facility as
part of the 2024 Advancing Development of Emissions Detection
campaign (2024 ADED), and (ii) complex controlled release testing
that better simulates "operational" emissions in addition to
"leaks". Project Canary committed to sharing the single-blind
controlled release testing results as well as its single-blind
emission rate quantification and event source characterization
results with Mines. In addition to source emission rate
quantification, this study will also look into the performance of
models for total site-level emissions estimation as well as
simulation of short-duration releases to mimic a wide range of
operational emission events.
This project is the first-of-its-kind in-depth performance
evaluation of open-source and proprietary models. The initiative
hopes to set the stage for the validation of both open-source and
proprietary models, which is crucial to ensuring transparency and
inspiring the development of tools that reduce greenhouse gas
emissions by both the public and private sectors.
After the project is completed, partners intend to publish a
peer-reviewed journal paper that includes the general framework of
the two models, the results of the comparative study, and lessons
learned on the capabilities and challenges of the two models.
“As an academic institution, our goal is to advance science and
in my research group, we are particularly focused on developing and
contributing to solutions to the critical issue of climate change,”
said Dr. Dorit Hammerling, Associate Professor at Mines. “We are
excited to provide open-source analytical frameworks for methane
emission quantification, that can serve as benchmarks for the
innovative solutions coming from the private sector, and engage in
comparative studies to further advance this area of research.
Projects like this in-depth performance evaluation are critical to
pinpoint aspects that need improvement and an important step
towards credible and accurate analytical frameworks for methane
emission quantification.”
“This collaboration will help prove out the extent of what’s
possible related to quantifying total site-level emissions using
continuous monitoring point sensors, thereby paving the way for a
more comprehensive understanding of methane emissions at
operational oil and gas production sites across the United States
and beyond,” said Will Foiles, Co-Founder and Chief Executive
Officer of Project Canary. “We value the peer-review process as
a key step in building transparency and credible emissions
quantification.”
About Project Canary
Project Canary is a climate technology company offering an
enterprise emissions data platform that helps energy companies
improve and report on their emissions footprint. Project Canary
builds high-fidelity sensors, ingests data from various other
technologies and sources, and leverages proprietary analytics and
models to deliver insights that operators can act on to reduce
emissions. Project Canary’s end-to-end emissions data solution
enables energy operators to stop leaks faster, reduce risk,
streamline reporting, and differentiate their operations for key
stakeholders.
www.projectcanary.com.
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version on businesswire.com: https://www.businesswire.com/news/home/20240807417505/en/
Dr. Ali Lashgari, Senior Scientist, Project Canary
ali.lashgari@projectcanary.com
Dr. Dorit Hammerling, Associate Professor, Colorado School of
Mines hammerling@mines.edu
Project Canary Media Inquiries
mediainquiries@projectcanary.com