• DocumentCode
    618832
  • Title

    Greenhouse lighting optimization for tomato cultivation considering Real-Time Pricing (RTP) of electricity in the smart grid

  • Author

    Mahdavian, Mohammad ; Poudeh, M. Bayati ; Wattanapongsakorn, Naruemon

  • Author_Institution
    Dept. of Comput. Eng., King Mongkut´s Univ. of Technol. Thonburi, Bangkok, Thailand
  • fYear
    2013
  • fDate
    15-17 May 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Nowadays, usage of artificial light as the supplemental light in greenhouse cultivations is one of the most common techniques to increase greenhouse productions. Greenhouse is part of the Smart Grid, where the activation of electricity energy market is applied. With Real-Time Pricing (RTP) of electricity energy, finding the optimum values of supplemental light for various cultivations and conditions in the greenhouse environments is very important. In this paper, by modeling and using the measured and presented data of cherry tomato in the greenhouse cultivation, the optimum amounts of supplemental light and required electrical energy for HPS lamps in the greenhouse environment are simulated and calculated.
  • Keywords
    crops; greenhouses; lighting; optimisation; power markets; pricing; real-time systems; smart power grids; HPS lamps; RTP; artificial light; cherry tomato; electricity energy market; greenhouse cultivations; greenhouse environments; greenhouse lighting optimization; greenhouse productions; real-time pricing; smart grid; supplemental light; tomato cultivation; Adaptation models; Green products; Reliability; Sociology; Statistics; Topology; genetic algorithm (GA); greenhouse supplemental lighting; lighting optimization; real-time pricing (RTP); smart grid; tomato cultivation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2013 10th International Conference on
  • Conference_Location
    Krabi
  • Print_ISBN
    978-1-4799-0546-1
  • Type

    conf

  • DOI
    10.1109/ECTICon.2013.6559619
  • Filename
    6559619