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UAV-based gas detector optimization for fugitive source identification

UAV-based gas detector optimization for fugitive source identification
基于无人机的气体探测器优化用于逃逸源识别
批准号:
499531-2016
负责人:
Hugenholtz, Chris
金额:
$1.79万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2016
资助国家:
加拿大
项目状态:
已结题
起止时间:
2016-01-01 至 2017-12-31

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英文摘要
The goal of this project is to improve the ability to detect fugitive gas emissions of methane from natural gas pipelines and associated infrastructure using unmanned aerial vehicles (UAVs) and Boreal Laser's miniaturized GasFinder system. UAV-based gas sensing is a relatively new approach for auditing, monitoring, and surveilling fugitive gas emissions. However, no prior research has been conducted to inform the effective use of open-path laser gas sensing technology onboard UAVs, or how to process the measurements to detect fugitive gas emissions. To address these technical challenges, we are proposing a new collaboration between the University of Calgary and Boreal Laser - one of Canada's leading manufacturers of open-path laser gas analyzers. The research challenge is twofold: (i) to optimize the configuration of the UAV GasFinder system for detecting fugitive gases in the atmosphere, and (ii) to develop analytical tools that improve the ability of the system to identify the sources of fugitive gas emissions. The target gas for this research is methane, which is an extremely potent greenhouse gas associated with the extraction and transport of natural gas. Beyond the company-specific challenge, the science and tools we are proposing have significant benefits for responsible energy extraction, the environment, climate change, and Canada's economy.
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