• DocumentCode
    3673552
  • Title

    PV Panel Modeling: A Mobile Application for Modeling Photovoltaic Panels Using Datasheets Information

  • Author

    Antonio Tedeschi;Francesco Riganti Fulginei;Antonino Laudani

  • Author_Institution
    Signal Process. for Telecommun. &
  • fYear
    2015
  • Firstpage
    608
  • Lastpage
    613
  • Abstract
    Over the past years, different approaches have been proposed for circuital modeling photovoltaic modules. Most of these approaches introduce simplifications and/or approximations techniques or exploit inaccurate data interpolated from the plots representing panel characteristic curves: this in order to overcome the treatment of transcendental equations or to add points for numerical fitting. Unfortunately, this leads to ineffective algorithms and inaccurate results. In this work, we propose a fast and powerful mobile application, named PV Panel Modeling, for the identification of PV panels from datasheet. PV Panel Modeling is based on a complete theoretical and practical analysis on the extraction of one-diode model parameters. In particular, the proposed procedure separates the independent parameters from the dependent ones by using suitable algebraic manipulations of the commonly used equations. Hence, it is possible to verify the open circuit, short circuit and maximum power point conditions, and to reduce the dimensions of the search space of the parameters. The application and its core are designed in order to be cross-platform and ensure high performances. Here, we propose an implementation for handheld devices based on Android operating system. Finally, the obtained results have been validated on hundreds of PV panels belonging to the California Energy Commission database.
  • Keywords
    "Mathematical model","Computational modeling","Integrated circuit modeling","Androids","Humanoid robots","Analytical models","Data models"
  • Publisher
    ieee
  • Conference_Titel
    Future Internet of Things and Cloud (FiCloud), 2015 3rd International Conference on
  • Type

    conf

  • DOI
    10.1109/FiCloud.2015.48
  • Filename
    7300875