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Modeling and Simulation of the Tracking Mechanism Used for a Photovoltaic Platform

  • C. AlexandruEmail author
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 5)

Abstract

The paper presents the modeling and simulation of the dual-axis tracking system of azimuthal type used for a photovoltaic (PV) platform. The study is approached in mechatronic concept, by integrating the mechanical device and the control system at the virtual prototype level, during the entire design process. The mechanical device model of the tracking mechanism is developed as multi-body system by using the MBS environment ADAMS, while the DFC EASY5 is used for modeling the control system. The key-word for design is the energetic efficiency of the azimuthally tracked PV platform, which is evaluated in different intervals during the year. Through the optimal design of the tracking mechanism and of the control system (the controller and the control law), we obtained good values for the energetic efficiency throughout the year (the average value is around 34%), which justify the viability - utility of the tracking system.

Key words

PV platform tracking mechanism multibody system mechatronic model 

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References

  1. 1.
    Alexandru, C., The mechatronic model of a photovoltaic tracking system. International Review on Modelling and Simulations, 0:64–74, 2008.Google Scholar
  2. 2.
    Ceccarelli, M., Challenges for mechanism design. In Proceedings of the 10th IFToMM International Symposium SYROM, Brasov, Plenary Lecture, pp. 1–14, 2009.Google Scholar
  3. 3.
    Chong, K.K. et al., Integration of an on-axis general sun-tracking formula in the algorithm of an open-loop sun-tracking system. Sensors, 9:7849–7865, 2009.CrossRefGoogle Scholar
  4. 4.
    Comsit, M. and Visa, I., Design of the linkages-type tracking mechanisms of the solar energy conversion systems by using multi body systems method. In Proceedings of the 12th IFToMM World Congress, Besançon, ID 582, 2007.Google Scholar
  5. 5.
    Eich-Soellner, E. and Führer, C., Numerical Methods in Multibody Dynamics. Teubner, 2008.Google Scholar
  6. 6.
    Guo, L. et al., Design and implementation of a sun tracking solar power system. In Proceedings of the ASEE Annual Conference and Exposition, Austin, pp. 1–11. 2009.Google Scholar
  7. 7.
    Hoffmann, A. et al., A systematic study on potentials of PV tracking modes. In Proceedings of the 23rd European Photovoltaic Conference EUPVSEC, Valencia, pp. 3378–3383, 2008.Google Scholar
  8. 8.
    Höhne, G. et al., Extended Virtual Prototyping. Springer, 2007.Google Scholar
  9. 9.
    Meliβ, M., Regenerative Energiequellen. Springer-Verlag, 1997.Google Scholar
  10. 10.
    Mousazadeh, H. et al., A review of principle and sun-tracking methods for maximizing solar systems output. Renewable and Sustainable Energy Reviews, 13:1800–1818, 2009.CrossRefGoogle Scholar
  11. 11.
    Shabana, A., Dynamics of Multibody Systems, 2nd edition. John Wiley & Sons, 1998.Google Scholar
  12. 12.
    Visa, I. et al., On the optimization of the PV azimuthal tracking steps. In Proceedings of the 23rd European Photovoltaic Conference EUPVSEC, Valencia, pp. 3165–3169, 2008.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Transilvania University of BraşovBraşovRomania

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