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Intelligent Infrastructure for Energy Efficiency

机译:能源效率智能基础设施

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摘要

Buildings use 40% of the primary energy supplied in the United States, and more than 70% of all generated electricity (1), primarily for heating, cooling, and lighting. About 20% of the energy used by buildings can potentially be saved by correcting faults, including malfunctions and unnecessary operation (2). Initial deployments of advanced control systems currently in development suggest that they can save an additional 10 to 20% (5). The energy efficiency resource recoverable through such improved building controls and fault detection corresponds to the output from hundreds of power plants, equivalent to more than one-third of the coal-fired power production in the United States (1). Realizing these substantial savings will require introducing intelligence into the infrastructure of buildings, to distribute the optimizationrnof their operation and detection of their faults.
机译:建筑物使用美国提供的一次能源的40%,占所有发电量的70%以上(1),主要用于取暖,制冷和照明。纠正故障(包括故障和不必要的操作)可以潜在地节省建筑物使用的20%的能源(2)。当前正在开发中的高级控制系统的初始部署表明,它们可以节省额外的10%到20%(5)。通过改进的建筑控制和故障检测可回收的能效资源相当于数百家发电厂的输出,相当于美国燃煤发电量的三分之一以上(1)。要实现这些大量节省,就需要将智能引入建筑物的基础架构中,以分配优化信息以实现其运行并检测其故障。

著录项

  • 来源
    《Science》 |2010年第5969期|p.1086-1088|共3页
  • 作者单位

    Center for Bits and Atoms, Massachusetts Institute of Tech- nology, Cambridge, MA 02138, USA;

    Center for Bits and Atoms, Massachusetts Institute of Tech- nology, Cambridge, MA 02138, USA Building Technolo- gies, Massachusetts Institute of Technology, Cambridge, MA 02138, USA;

    Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 02:54:26

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