Determining the composition of hydrocarbon gas mixtures through mid-infrared gas imaging
通过中红外气体成像确定碳氢化合物气体混合物的成分
基本信息
- 批准号:513271-2017
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
As part of its action plan on climate change, Canada is committed to reducing methane emissions by 40-45% of2012 levels by 2023. In order to meet these goals, Canadian industry needs to accurately quantify methaneemissions, as well as those of other hydrocarbons, such as benzene-ethylbenzene-toluene-xylene (BTEX),which must be reported to the National Pollutant Emissions Inventory. The use of mid-wavelength infrared(MWIR) cameras to detect and visualize hydrocarbon leaks is commonplace, particularly in Canada's oil andgas industry. Recent advancements in hardware and algorithms/computing now enable quantitativehydrocarbon flux estimates through MWIR image analysis. This technique has the potential to provide moreaccurate flux estimates than the current standard-of-practice, which relies on point-concentrationmeasurements. Infrared gas imaging is also more efficient and permits stand-off measurements, therebyreducing the time that personnel must spend working under often hazardous conditions.This Engage grant supports a new collaboration between FLIR Lorex, FLIR Inc.'s Canadian subsidiary, andthe University of Waterloo, aimed at enhancing quantitative infrared gas detection so it can isolate componentsof hydrocarbon mixtures, including methane/BTEX. The University of Waterloo team, led by Professor KyleDaun, brings an expertise in thermal radiation, remote sensing, and mathematical analysis. They will workclosely with Mr. Rob Milner and Dr. Austin Richards from FLIR Lorex, internationally-recognized experts oninfrared gas detection. The methodology will be numerically-prototyped using CFD simulations, and thenevaluated by making measurements with a MWIR camera provided by FLIR on a specialized test rig at theUniversity of Waterloo. The technology developed through this research will help FLIR develop newtechnology that Canadian industry will use to reduce greenhouse gas emissions, thereby helping safeguardCanada's environment. The research activities will also help equip three HQP with skills in infrared gasdetection, experimentation, and numerical analysis, which are in high demand by Canadian industry.
作为应对气候变化行动计划的一部分,加拿大承诺到2023年将甲烷排放量在2012年的基础上减少40%-45%。为了实现这些目标,加拿大工业需要准确量化甲烷以及其他碳氢化合物的排放量,如苯-乙苯-甲苯-二甲苯(BTEX),这些必须报告给国家污染物排放清单。使用中波长红外(MWIR)相机来检测和可视化碳氢化合物泄漏是司空见惯的,特别是在加拿大的石油和天然气行业。最近在硬件和算法/计算方面的进步现在可以通过MWIR图像分析来定量地估计碳氢化合物流量。这项技术有可能提供比目前的实践标准更准确的通量估计,目前的实践标准依赖于点集中测量。红外气体成像的效率也更高,可以进行远距离测量,从而减少了人员必须在通常危险的条件下工作的时间。这项Engage赠款支持FLIR Lorex、FLIR Inc.的加拿大子公司S和滑铁卢大学之间的一项新合作,旨在增强红外气体的定量检测,以便它能够分离碳氢化合物混合物的成分,包括甲烷/苯系物。滑铁卢大学的团队由KyleDaun教授领导,带来了热辐射、遥感和数学分析方面的专业知识。他们将与来自FLIR Lorex的国际公认的红外气体探测专家Rob Milner先生和Austin Richards博士密切合作。该方法将使用CFD模拟进行数值原型设计,然后通过在滑铁卢大学的专门试验台上使用由FLIR提供的MWIR相机进行测量来进行评估。通过这项研究开发的技术将帮助FLIR开发加拿大工业将用于减少温室气体排放的新技术,从而帮助保护加拿大的环境。研究活动还将帮助三个HQP掌握加拿大工业对红外气体检测、实验和数值分析的高需求技能。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Daun, Kyle其他文献
Daun, Kyle的其他文献
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