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The Role of Sensors and Controls in Transforming the Energy Landscape

机译:传感器和控件在改变能源格局中的作用

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The U.S. Department of Energy funds a large portfolio of fossil energy R&D projects aimed at transformational improvements in the cost and environmental performance of coal-based power generation while maintaining high reliability standards. The National Energy Technology Laboratory (NETL) manages DOE's Crosscutting Research Program, which leverages on-going trends in disruptive technology to achieve breakthroughs in sensors and controls. Examples include: advanced manufacturing of embedded sensors with energy harvesting capability; wireless signal transmission and blockchain infrastructure; and the application of data analytics and machine learning to processing distributed sensor signals to create actionable control interfaces. The fossil energy application space requires the development of sensors capable of monitoring key operational parameters (temperature, pressure, and gas compositions) while operating in harsh environments; analytical sensors capable of on-line, real-time evaluation and measurement to support condition-based monitoring. Controls development centers around self-organizing information networks, algorithms for component lifetime assessment and plant-level economics, and distributed intelligence for process control and decision making. All of this must be accomplished while hardening fossil energy assets. An overview of DOE's Fossil Energy R&D Program with an emphasis on Sensors and Controls will be presented including discussion of technologies and applications being pursued and their status.
机译:美国能源部资助了大量的化石能源研发项目组合,目的是在保持高可靠性标准的同时,改善煤炭基发电的成本和环境绩效。国家能源技术实验室(NETL)管理着DOE的Crosscutting研究计划,该计划利用了颠覆性技术的持续发展趋势,实现了传感器和控制方面的突破。示例包括:具有能量收集功能的嵌入式传感器的高级制造;无线信号传输和区块链基础设施;并将数据分析和机器学习应用于处理分布式传感器信号以创建可操作的控制界面。化石能源应用领域需要开发能够在恶劣环境下运行时监测关键运行参数(温度,压力和气体成分)的传感器。分析传感器能够进行在线,实时评估和测量,以支持基于状态的监视。控制开发中心围绕自组织信息网络,用于组件寿命评估和工厂级经济的算法以及用于过程控制和决策的分布式智能。所有这些都必须在强化化石能源资产的同时完成。美国能源部的化石能源研发计划将以传感器和控制为重点进行概述,包括对所追求的技术和应用及其现状的讨论。

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