Continuous Methane Monitoring: Equivalency Evaluation of Regulator-Approved Alternative Leak Detection and Repair Program in Alberta, Canada

Tim Benko, A. Macgregor, Eric Wen, Thomas Fox, B. Moorhouse
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Abstract

Diverse methods have emerged for methane leak detection and repair (LDAR), alongside a growing interest in continuous monitoring (CM). Novel LDAR programs must demonstrate equivalent (or better) emissions reductions compared to conventional handheld methods to be approved by regulators and trusted by industry. We apply and test a widely accepted equivalency framework and report on a regulatory approved alternative LDAR pilot program to evaluate the performance of CM relative to conventional LDAR. The framework, which has not been formally tested to date, relies on a combination of controlled release testing, simulation modeling, and field piloting. First, controlled release testing at known emission rates is used to establish probability of detection functions and other performance metrics for the CM device. Performance metrics are then used to build a CM module in LDAR Simulator (LDAR-Sim), an open-access modeling framework. Finally, CM devices are deployed as part of a field pilot. Controlled release testing results and dispersion modeling suggest that the CM devices can reliably detect (i.e., 90% detection probability or greater) a rate of 1 kg/h (~54 scf/hr) from distances of 75–100 m with no false positive detections. A set of work practices were established using the LDAR-Sim framework. The CM program requires close-range follow-up for any detection event and is estimated by LDAR-Sim to reduce aggregate annual fugitive methane emissions by 91.8% relative to the baseline, doubling the reductions anticipated from a conventional regulatory program. For the pilot, 52 devices are deployed across 16 facilities with Enhance Energy. All devices are positioned within 100 m of monitored assets. Each time devices record a detection event, which is defined as a sustained anomaly three standard deviations above a moving average background concentration for 24 hours, 7 days, or 60 days, the operator performs a close-range follow-up inspection. Preliminary results show that the CM devices can detect leaks and that follow-up protocols are effective at immediately finding leaks and avoiding false positives. Confirmed detections include fugitive emissions such as a tank thief hatch leak and vented emissions including high-bleed pneumatics. Both types of emissions were confirmed as repaired or improved by CM. These results indicate that repairing leaks more expeditiously through faster detection can reduce emissions by up to 90%.
连续甲烷监测:加拿大阿尔伯塔省监管机构批准的替代泄漏检测和修复计划的等效评估
甲烷泄漏检测和修复(LDAR)的方法多种多样,人们对连续监测(CM)的兴趣也越来越大。与传统的手持方法相比,新型的LDAR项目必须证明其减排效果相当(或更好),才能得到监管机构的批准,并得到行业的信任。我们应用并测试了一个被广泛接受的等效框架,并报告了监管部门批准的替代性LDAR试点项目,以评估CM相对于传统LDAR的性能。到目前为止,这个框架还没有经过正式的测试,它依赖于控制发布测试、模拟建模和现场试验的组合。首先,在已知的发射速率下进行控制释放测试,以建立CM器件的检测功能概率和其他性能指标。然后使用性能指标在开放访问的建模框架LDAR模拟器(LDAR- sim)中构建CM模块。最后,CM设备作为现场试验的一部分进行部署。控制释放测试结果和分散模型表明,CM装置可以在75-100米的距离上可靠地检测(即90%或更高的检测概率)1 kg/h (~54 scf/hr)的速率,没有假阳性检测。使用LDAR-Sim框架建立了一组工作实践。CM计划需要对任何检测事件进行近距离跟踪,LDAR-Sim估计,相对于基线,CM计划可以减少每年总逸失性甲烷排放量91.8%,是传统监管计划预期减量的两倍。在试点项目中,将在16个设施中部署52台设备。所有设备定位在被监控资产100米范围内。每当设备记录到一个检测事件(定义为高于移动平均背景浓度三个标准差的持续异常,持续时间为24小时、7天或60天),操作人员就会进行近距离的后续检查。初步结果表明,CM设备可以检测到泄漏,后续协议在立即发现泄漏和避免误报方面是有效的。已确认的检测包括逃逸排放,如坦克小偷舱口泄漏和排气排放,包括高排气。这两种类型的排放都被CM修复或改善。这些结果表明,通过更快的检测更快地修复泄漏可以减少高达90%的排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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