Grant: Alliance Grants
University of Waterloo
$268,000.00
Development of hyperspectral imaging platforms for quantifying methane emissions from managed wetlands, landfills, and the upstream oil and gas industry
FY 2022-23
Summary
Canada urgently needs a domestic capacity to compile accurate bottom-up, year-over-year inventories from landfills, oil and gas operations, and wetlands, which represent the majority of Canada's methane (CH4) emissions. Landfill and wetland emissions are particularly challenging since they are highly dispersed and often intermittent. Imaging Fourier transform spectrometers (IFTSs), recently commercialized by Quebec City-based Telops, Inc., appear well-suited to these sources, since they can survey large areas; are sensitive to low CH4 concentrations, and are robust to uncertain gas temperatures and compositions. The research team is leveraging their expertise in spectroscopy, remote sensing, and CH4 emission quantification from landfills, wetlands, and Canada's oil and gas industry, to fully realize the potential of this technology. By working alongside scientists with Defence Research Development Canada, Environment and Climate Change Canada, and Ducks Unlimited Canada, along with Canada's oil and gas and waste management industries, they will develop a made-in-Canada solution for quantifying CH4 emissions using HS imaging. Research will commence with laboratory studies to develop machine learning measurement models, transition to controlled release experiments from point and diffuse sources, and culminate with proof-of-concept measurements from landfills, wetlands, and an upstream petroleum facility.The Federal and provincial governments will use highly accurate IFTS-compiled methane inventories to inform science-based policies and enforce environmental laws. This research will give Telops a new capacity for environmental monitoring, which Canadian petroleum and waste management industries will use to reduce their emissions. Finally, the multidisciplinary training environment will equip at least 7 HQP with skills needed by the Federal government, regulators, and Canada's growing clean technology sector.
Program
Alliance Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
577095-2022
Name nom
Daun, Kyle KJ
Department département
Mechanical Engineering and Mechatronics
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
268000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
401
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Climate and atmosphere
Area of application fr
Climat et atmosphère
Research subject code
4405
Research subject group en
Atmospheric science
Research subject group fr
Étude de l'atmosphère
Research subject en
Atmospheric chemistry (including air pollution)
Research subject fr
Chimie atmosphérique (y compris pollution atmosphérique)
Installment
inst:1;2
Partie
2
Nb partie
2
Application title
Development of hyperspectral imaging platforms for quantifying methane emissions from managed wetlands, landfills, and the upstream oil and gas industry
Application summary
Canada urgently needs a domestic capacity to compile accurate bottom-up, year-over-year inventories from landfills, oil and gas operations, and wetlands, which represent the majority of Canada's methane (CH4) emissions. Landfill and wetland emissions are particularly challenging since they are highly dispersed and often intermittent. Imaging Fourier transform spectrometers (IFTSs), recently commercialized by Quebec City-based Telops, Inc., appear well-suited to these sources, since they can survey large areas; are sensitive to low CH4 concentrations, and are robust to uncertain gas temperatures and compositions. The research team is leveraging their expertise in spectroscopy, remote sensing, and CH4 emission quantification from landfills, wetlands, and Canada's oil and gas industry, to fully realize the potential of this technology. By working alongside scientists with Defence Research Development Canada, Environment and Climate Change Canada, and Ducks Unlimited Canada, along with Canada's oil and gas and waste management industries, they will develop a made-in-Canada solution for quantifying CH4 emissions using HS imaging. Research will commence with laboratory studies to develop machine learning measurement models, transition to controlled release experiments from point and diffuse sources, and culminate with proof-of-concept measurements from landfills, wetlands, and an upstream petroleum facility.The Federal and provincial governments will use highly accurate IFTS-compiled methane inventories to inform science-based policies and enforce environmental laws. This research will give Telops a new capacity for environmental monitoring, which Canadian petroleum and waste management industries will use to reduce their emissions. Finally, the multidisciplinary training environment will equip at least 7 HQP with skills needed by the Federal government, regulators, and Canada's growing clean technology sector.