• DocumentCode
    1894568
  • Title

    Data Processing and Analysis of Solar Energy Hot Water Monitor System

  • Author

    Xufei ; Ai-Hong, Hao ; Xiao-li, Zhang ; Xiaoqin, Lian

  • Author_Institution
    Coll. of Compute & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    573
  • Lastpage
    577
  • Abstract
    In this paper, the process, monitoring data and the economic indicators of the system are analyzed. The research scheme and the design concept of the system are discussed. The paper focuses on researching the building mathematic model of the system economic indicators and the data-processing methods. It achieved the aim of displaying five economic indicators including the insurance rate of solar energy, the efficiency of solar system and hot water system, the useful energy and traditional energy consumption by day, by week and by month. Based on .NET platform the test results show that the data-processing methods designed for the monitoring system can process and analyze the basic data, providing an effective and reliable basis for the Renewable Energy and Building Demonstration.
  • Keywords
    control engineering computing; data analysis; heating; .NET platform; data analysis; data processing; design concept; economic indicator; energy consumption; hot water system; insurance rate; mathematical model; solar energy hot water monitor system; Buildings; Data analysis; Data processing; Economic indicators; Insurance; Mathematical model; Mathematics; Monitoring; Solar energy; Solar system; Data-processing; Evaluation of economic indicators; Mathematic Model; Solar Energy Hot Water; The Renewable Energy and Building;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.145
  • Filename
    5287587