• DocumentCode
    77314
  • Title

    Noncontact Power Meter

  • Author

    Donnal, John S. ; Leeb, Steven B.

  • Author_Institution
    Massachusetts Inst. of Technol., Cambridge, MA, USA
  • Volume
    15
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    1161
  • Lastpage
    1169
  • Abstract
    Energy metering is increasingly important in today´s power grid. With real-time power meters, utilities can efficiently incorporate renewables and consumers can tailor their demand accordingly. Several high-profile attempts at delivering realtime energy analytics to users, including Google Power Meter and Microsoft Hohm, have essentially failed because of a lack of sufficient richness and access to data at adequate bandwidth for reasonable cost. High performance meters can provide adequate data, but require custom installation at prohibitive expense, e.g., requiring an electrician for installation. This paper presents hardware and signal processing algorithms that enable high bandwidth measurements of voltage, current, harmonics, and power on an aggregate electrical service (such as a residential powerline) for nonintrusive analysis with hardware that requires no special skill or safety considerations for installation.
  • Keywords
    electric current measurement; electric sensing devices; energy measurement; power measurement; power meters; signal processing; voltage measurement; Google power meter; Microsoft Hohm; current measurement; electrical service; energy metering; hardware processing algorithm; harmonics measurement; noncontact power meter; nonintrusive analysis; power grid; power measurement; residential powerline; safety consideration; signal processing algorithm; voltage measurement; Conductors; Current measurement; Magnetic sensors; Saturation magnetization; Tunneling magnetoresistance; Voltage measurement; Smart meter; hall effect; load monitoring; tunneling magnetoresistance;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2014.2359619
  • Filename
    6905720