Vibro-Acoustic Leak Detection in Energy Pipelines
Vibro-Acoustic Leak Detection in Energy Pipelines
批准号:
RGPIN-2022-03285
负责人:
Hugo, Ronald
金额:
$2.33万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
随着2015年《巴黎协定》和2019年《联合国气候变化框架公约》缔约方大会第二十五次会议协议的签署,加拿大同意到2050年将温室气体(GHG)排放量减少到净零。通过通常所说的能源转型,加拿大的能源行业,包括其管道基础设施,将发生转变。能源转型将导致为现代社会提供动力的能源发生变化。氢形式的化学能是难以脱碳的行业的强有力候选者,包括航空;长途卡车,火车和船舶运输;混凝土和钢铁生产;以及化肥生产。到2050年实现净零能源系统还需要积极的碳捕获、利用和储存方法。管道将在这一转变中发挥核心作用,运输氢和氨燃料、生物燃料、合成烃和二氧化碳。这种管道的再利用将需要泄漏检测技术的进步,以保护社会和环境。现有的泄漏检测技术分为三个主要类别之一:基于硬件的泄漏检测技术;基于软件的泄漏检测技术;以及基于检查的泄漏检测技术。顾名思义,基于硬件的系统确实需要在管道或周围区域添加额外的仪器或传感器,以确定管道系统中是否存在泄漏。基于软件的系统使用现有的监控和数据采集(SCADA)数据,包括压力、温度和质量流率,并使用计算方法来确定是否存在泄漏。最后,基于检查的系统定期对管道进行物理检查,以检查泄漏的证据。在这项研究中,基于硬件的传感研究使用壁挂式加速度计作为现场部署的泄漏检测技术。该方法最适合在高后果地区(人口密集地区、环境敏感地区等)附近应用。该研究将调查泄漏形态对早期泄漏检测和识别的操作雷诺数条件下的泄漏特征的影响。该研究将有助于了解管流泄漏的流体动力学和振动声学。通过该研究计划培训的高素质人员(HQP)将配备非侵入式光学诊断,实验流体力学,振动声学和信号分析的最新知识。HQP还将学习如何使用人工智能和机器学习来增强数据分析。经过培训的HQP可以在学术界,政府实验室,监管机构或行业中找到职业机会。工业职位将包括管道传输公司或服务公司,这些公司活跃于碳氢化合物生产或氢能传输和碳捕获,储存和利用的增长领域。
英文摘要
With the signing of the Paris Agreement in 2015 and the COP25 agreement in 2019, Canada has agreed to reduce greenhouse gas (GHG) emissions to net-zero by 2050. Through what is commonly referred to as Energy Transition, Canada's energy industry, including its pipeline infrastructure, will transform. Energy transition will see changes in the energy sources used to power modern society. Chemical energy in the form of hydrogen is a strong candidate for hard-to-decarbonize sectors that include aviation; long-distance truck, train and ship transport; concrete and steel production; and the production of fertilizers. Attaining net-zero energy systems by 2050 will also require aggressive Carbon Capture, Utilization, and Storage approaches. Pipelines will play a central role in this transition, transporting hydrogen and ammonia fuels, biofuels, synthetic hydrocarbons, and carbon dioxide. This repurposing of pipelines will require advances in leak detection technologies for the protection of society and environment. Existing leak detection technologies fall into one of three main categories: those that are hardware based; those that are software based; and those that are inspection based. Hardware-based systems do, as the name implies, require extra instruments or sensors to be added to the pipeline or surrounding area to determine if there is a leak in the pipeline system. Software-based systems use existing supervisory control and data acquisition (SCADA) data including pressure, temperature, and mass flow rate with computational methods to determine if a leak is present. Finally, inspection-based systems physically examine the pipeline periodically to check for evidence of a leak. In this research, hardware-based sensing is investigated using wall-mounted accelerometers for use as a field-deployable leak detection technology. The approach is best suited for application near high-consequence areas (high-population areas, environmentally sensitive areas, etc.). The research will investigate the influence of leak morphology on leak signatures under operational Reynolds number conditions for early-stage leak detection and identification. The research will contribute to the understanding of both the hydrodynamics and the vibro-acoustics of leaks from pipe flow. The highly qualified personnel (HQP) trained through this research program will be equipped with the latest knowledge in non-invasive optical diagnostics, experimental fluid mechanics, vibro-acoustics, and signal analysis. HQP will also learn how to augment data analysis using artificial intelligence and machine learning. Trained HQP could find career opportunities in academia, government laboratories, regulatory organizations, or industry. Industrial positions would include pipeline transmission companies or service companies active in both hydrocarbon production or in the growing area of hydrogen energy transmission and carbon capture, storage and utilization.
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会议论文
Accurate Leak Detection of Upstream Pipelines using Passive and Active Methods utilizing Artificial Intelligence
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批准号:558438-2020
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项目类别:Alliance Grants
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资助金额:$13.11万
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负责人:Hugo, Ronald
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依托单位:
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Thermal-science investigations applied to energy-infrastructure pipeline systems
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资助金额:$1.53万
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Thermal-science investigations applied to energy-infrastructure pipeline systems
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批准号:227634-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.53万
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负责人:Hugo, Ronald
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依托单位:
Thermal-science investigations applied to energy-infrastructure pipeline systems
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批准号:227634-2010
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.53万
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负责人:Hugo, Ronald
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项目类别:Discovery Grants Program - Individual
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依托单位:
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批准号:227634-2005
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.6万
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依托单位:
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依托单位:
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批准号:227634-2005
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资助金额:$1.6万
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依托单位:
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依托单位:
Slug-flow stabilized two-phase expander for low-cost waste-heat recovery
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批准号:307204-2004
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项目类别:NSERC/Energy Sector, Natural Resources Canada
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资助金额:$4.19万
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负责人:Hugo, Ronald
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依托单位:
Slug-flow stabilized two-phase expander for low-cost waste-heat recovery
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批准号:307204-2004
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项目类别:NSERC/Energy Sector, Natural Resources Canada
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资助金额:$4.19万
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依托单位:
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依托单位:
Optical-based measurements for the study of jet-flow control methodologies
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项目类别:Discovery Grants Program - Individual
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Optical-based measurements for the study of jet-flow control methodologies
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依托单位:
Optical-based measurements for the study of jet-flow control methodologies
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项目类别:Discovery Grants Program - Individual
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依托单位:
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