• DocumentCode
    3540795
  • Title

    All-weather automatic solar tracking method applied in forest fire prevention

  • Author

    Xu, Jing ; Wu, Kaihua ; Ma, Li

  • Author_Institution
    Sch. of Autom., Hangzhou Dianzi Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    The monitoring equipment of forest fire prevention usually needs all-weather supply of electric power. But most of solar power systems applied in forest fire prevention use fixed-mounted solar panels. This problem results in low efficiency of electricity generation. Thus the area of solar panels has to increase to meet electricity demand of the equipment. An all-weather automatic solar tracking method was proposed, which combined the photoelectric detection and the solar trajectory tracking modes. The method used a sunlight intensity sensor to estimate weather conditions firstly. Then it utilized a solar position sensor and a solar trajectory algorithm to determine the changes of solar position. Finally, different tracking models were taken to track the sun in sunny, cloudy and rainy days. Through simulation experiments, this method could effectively reduce the impact of weather change and ensure to track the sun stably and accurately all weather.
  • Keywords
    fires; forestry; solar power stations; all-weather automatic solar tracking method; all-weather supply; electric power; electricity demand; electricity generation; fixed-mounted solar panels; forest fire prevention; monitoring equipment; photoelectric detection; solar position sensor; solar power systems; solar trajectory algorithm; solar trajectory tracking modes; sunlight intensity sensor; tracking models; weather conditions; Detectors; Fires; Instruments; Monitoring; Power measurement; Power supplies; Solar energy; Solar power generation; Sun; Trajectory; automatic solar tracking; photoelectric detection; solar trajectory tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274049
  • Filename
    5274049