Advertisement

A New Adaptive Algorithm for Two-Axis Sun Tracker without Sensor

  • Ahmad Parvaresh
  • Seyed Mohammad Ali Mohammadi
  • Mohammad Mahdi Azimi
Part of the Communications in Computer and Information Science book series (CCIS, volume 250)

Abstract

In recent years, sun tracking systems are being increasingly developed to improve the efficiency of PV panels. Due to problems of tracking methods which uses optical sensors, new methods with less practical problems are developing day by day. In this article, we suggest a new method to reduce the problems which exist with sun tracking. In this method, instead of using optical sensor, an adaptive algorithm is used, where recursive equations are employed to calculate Azimuth and Elevation angles of sun. We applied this method on a two-axis sun tracker system with fixed panel on 45° system. Then calculate the efficiency of PV panels. Finally, by comparing the Results of this method with respect to method of optical sensors, it has been shown that the efficiency of this method is higher than methods which used optical sensors.

Keywords

adaptive algorithm optical sensor two-axis sun tracker azimuth angle elevation angle 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Hossein, M., Alireza, K.: A review of principle and sun tracking methods for maximizing solar systems output. Renewable and Sustainable Energy Reviews (2009)Google Scholar
  2. 2.
    Raghuram, R., Wasfy, M.: Adaptive sun tracking algorithm for incident energy maximization and efficiency improvement of PV panels. Renewable Energy (2010)Google Scholar
  3. 3.
    Al-Mohammad, A.: Efficiency improvements of photo-voltaic panels using a sun tracking system. Applied Energy (2004)Google Scholar
  4. 4.
    Sungur, C.: Multi-axes sun-tracking system with PLC control for photovoltaic panels in Turkey. Renewable Energy (2009)Google Scholar
  5. 5.
    Barsoum, N., Vasant, P.: Simplified Solar Tracking Prototype. Global Journal on Technology & Optimization (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ahmad Parvaresh
    • 1
  • Seyed Mohammad Ali Mohammadi
    • 1
  • Mohammad Mahdi Azimi
    • 2
  1. 1.Department of Electrical EngineeringShahid Bahonar University of KermanIran
  2. 2.Department of Electrical EngineeringUniversity of TafreshIran

Personalised recommendations