• DocumentCode
    3613137
  • Title

    Thermographic Image Processing Application in Solar Followers

  • Author

    Platini Reges, Jonas ; Lima Moreira, Francisco Diego ; Santos Bezerra, Luiz Daniel ; Ripardo de Alexandria, Auzuir ; Pedrosa Reboucas Filho, Pedro

  • Author_Institution
    Inst. Fed. de Educ., Cienc. e Tecnol. do Ceara, Maracanau, Brazil
  • Volume
    13
  • Issue
    10
  • fYear
    2015
  • Firstpage
    3350
  • Lastpage
    3358
  • Abstract
    Today, humanity is looking for alternative sources for power generation. Among sources of renewable energy, one that is gaining plenty of space in the market is the photovoltaic solar energy. With the aim of maximize the production of electricity in photovoltaic panels, this paper proposes a method for use in solar trackers. The solar trackers have a larger collection of solar radiation, compared to the static photovoltaic panels having better energy efficiency. This method is based on digital processing thermographic images, to perform the sun detection and indication of the same position. The thermographic images were very important because the sun differentiated from other objects in space. From tests carried out with digital processing of the thermographic images, the method showed a hit rate of 96% for detecting the sun. Demonstrating so that the method is efficient and can be used in solar trackers.
  • Keywords
    infrared imaging; solar absorber-convertors; solar cells; solar power; sunlight; digital processing thermographic images; energy efficiency; photovoltaic solar energy; power generation; renewable energy; solar followers; solar radiation; solar trackers; static photovoltaic panels; sun detection; thermographic image processing application; Energy efficiency; Image segmentation; Photovoltaic systems; Sun; Energy Efficiency; Solar Trackers; Sun Segmentation; Thermographic Images;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2015.7387242
  • Filename
    7387242