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The Role of Sensors and Controls in Transforming the Energy Landscape

机译:传感器和控制在改变能量景观时的作用

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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:美国能源部有资金大量的化石能源研发项目,旨在改善煤基发电的成本和环境绩效,同时保持高可靠性标准。国家能源技术实验室(NetL)管理Doe的横切研究计划,利用破坏性技术进行了持续的趋势,实现传感器和控制的突破。例子包括:具有能量收集能力的嵌入式传感器的先进制造;无线信号传输和区块链基础设施;数据分析和机器学习在处理分布式传感器信号以创建可操作控制接口的应用。化石能量应用空间需要在恶劣环境中运行时能够监测关键操作参数(温度,压力和气体组成)的传感器的开发;能够在线,实时评估和测量的分析传感器,以支持基于条件的监测。控制自组织信息网络的开发中心,组件寿命评估和植物级经济学的算法,以及用于过程控制和决策的分布式智能。所有这一切必须在硬化化石能源资产时完成。将介绍DOE的化石能源研发计划的概述,并提出了强调传感器和控制的概述,包括探讨正在追求的技术和应用程序及其地位。

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