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Fugitive Emissions Monitoring Program for Oil Sands Mining and Tailings Ponds

机译:油砂开采和尾矿池的逸散排放监测程序

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A three-year study to be completed in 2020 is ongoing to quantify fugitive Greenhouse Gas (GHG), CO_2 and CH_4 emissions from tailings ponds and mines through multi-season, long-term emissions measurements and modelling. This study assesses sensor technology to measure emissions, the modelling to determine emissions profiles for each season and variations in emissions profiles seasonally and diurnally. Multiple sensor technology, including; tunable lasers, stationary and mobile open path lasers, canister sampling, meteorological measurements, satellite sensors and flux chambers are combined to enhance the accuracy of fugitive emission profiles. Seasonal sampling for long durations provides data on the changes in emissions profiles under the annual and diurnal cycles to better quantify actual emissions. Measurements to date reveal substantive emissions rates from summer and spring measurements. Further measurements in winter, summer and fall will provide documentation of all seasons. Diurnal variation of emissions rates based on multiple source measurement methods and varying modelled emissions document that daytime emissions are higher than nighttime emissions by as much as 32%. Direct atmospheric measurements at ground level, up to 100 m using tethered instrumentation and 2700 m using SOnic Detection And Ranging (SODAR), document atmospheric boundary layers and emissions and atmospheric flux of emissions. Inverse Dispersion Modelling (IDM), with air quality models CALPUFF or Windtrax, is used to determine fugitive emission fluxes from the mine and tailings pond. Innovative technology is in development to measure real time flux emissions that use tunable laser innovation and a fiber optic based long path gas cell capable of measuring multiple gases simultaneously with a sensitivity of parts per billion to parts per trillion. This wireless system is being deployed in all seasons to collect long term emission flux data. The project is a consortium of partners including Emissions Reduction Alberta, Luxmux Technologies, RWDI, University of Alberta, University of Guelph and the Southern Alberta Institute of Technology. Joint programs are complimentary to the study, including GHGSat, Ontario Centres of Excellence, Boreal Laser and NASA Jet Propulsion Lab. Industry partners include COSIA, PTAC, Imperial, Suncor Energy and Teck. The outcome of the project is to develop alternative measurement technology to accurately quantify fugitive GHG emissions.
机译:正在进行一项为期三年的研究,该研究将于2020年完成,以通过多季节,长期排放测量和建模来量化尾矿池和矿山中的逸散性温室气体(GHG),CO_2和CH_4排放。这项研究评估了用于测量排放的传感器技术,用于确定每个季节的排放曲线以及季节性和昼夜排放曲线变化的建模。多传感器技术,包括;可调谐激光器,固定式和移动式开放路径激光器,罐采样,气象测量,卫星传感器和通量室相结合,可提高逃逸发射曲线的准确性。长期的季节性采样可提供有关排放曲线在年度和昼夜周期下变化的数据,以更好地量化实际排放。迄今为止的测量显示了夏季和春季测量的实质性排放率。冬季,夏季和秋季的进一步测量将提供所有季节的文档。基于多种排放源测量方法的排放率的日变化和变化的建模排放量表明,白天的排放量比夜间的排放量高多达32%。在地面上直接进行大气测量,使用栓系仪器的最大距离为100 m,使用声波探测与测距(SODAR)的最大距离为2700 m,记录大气边界层和排放物以及排放物的大气通量。空气质量模型为CALPUFF或Windtrax的逆扩散模型(IDM)用于确定矿山和尾矿池的逃逸通量。正在开发可测量实时通量排放的创新技术,该技术使用可调谐激光器创新技术以及基于光纤的长距离气室,该气室能够同时测量多种气体,且灵敏度达十亿分之几至万亿分之几。该无线系统在所有季节都被部署以收集长期排放通量数据。该项目由合作伙伴组成,包括阿尔伯塔省减排,Luxmux Technologies,RWDI,阿尔伯塔大学,圭尔夫大学和南阿尔伯塔技术学院。联合计划对这项研究是免费的,包括GHGSat,安大略省卓越中心,北方激光和NASA喷气推进实验室。行业合作伙伴包括COSIA,PTAC,Imperial,Suncor Energy和Teck。该项目的结果是开发替代测量技术,以准确地量化温室气体的散逸性。

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