Comparison of solar power measurements in alpine areas using a mobile dual-axis tracking system

The rising demand for sustainable energy requires to identify the sites for photovoltaic systems with the best performance. This paper tackles the question of feasibility of photovoltaic power plants at high altitude. A direct comparison between an alpine and an urban area site is conducted in the south of Austria. Two low-cost automatic photovoltaic power measurement devices with dual-axis sun tracking and maximum power point tracking are deployed at two test sites. The system periodically performs a scan over the southern semihemisphere and executes maximum power point adjustment in order to assess the performance for a given direction. The gathered data shows a higher photovoltaic power yield in the higher altitude test site. Furthermore, the high altitude photovoltaic power as a function of azimuth and elevation angle appears to be not only higher but also more flat than in lower altitudes. This indicates a lower power loss in case of deviation from the optimal solar angles. The results show that even on low-cost hardware a difference in photovoltaic power can be observed, even though in this experiment it amounts to less than 5% increase of peak power in higher altitudes. However, the measured peak powers on the mountain are more stable and therefore closer to a constant level than the heavily fluctuating peak power values at the low altitude site. Additionally, a slight shift in optimal elevation angles between altitudes can be observed, as the optimum angle turns out to be lower on the high altitude site. This angle shift could be caused by snow reflections on the mountainous test site.

[1]  Arindam Bose,et al.  Helianthus - a Low Cost High Efficient Solar Tracking System Using AVR Microcontroller , 2012 .

[2]  M. Lehning,et al.  The bright side of PV production in snow-covered mountains , 2019, Proceedings of the National Academy of Sciences.

[4]  Jorge Aguilera,et al.  Design of an accurate, low-cost autonomous data logger for PV system monitoring using Arduino™ that complies with IEC standards , 2014 .

[5]  Tamer Khatib,et al.  Modeling of Photovoltaic Systems Using MATLAB: Simplified Green Codes , 2016 .

[6]  W. Elmenreich,et al.  Efficiency of photovoltaic systems in mountainous areas , 2018, 2018 IEEE International Energy Conference (ENERGYCON).

[7]  Jimmy Royer,et al.  Photovoltaics in cold climates , 1999 .

[8]  Gabriel López,et al.  Daily solar irradiation estimation over a mountainous area using artificial neural networks , 2008 .

[9]  Kamaruzzaman Sopian,et al.  Performance and feasibility assessment of a 1.4 kW roof top grid-connected photovoltaic power system under desertic weather conditions , 2014 .

[10]  Yi-Hua Liu,et al.  A fast and low cost analog maximum power point tracking method for low power photovoltaic systems , 2011 .

[11]  Dereck Mutungi Degradation of photovoltaics in Central Finland : a comparative study of polycrystalline and heterojunction with intrinsic thin layer technologies , 2013 .

[12]  D. Yang Performance analysis of a grid connected hybrid photovolatic and wind electricity generation system in cold climate , 2007 .

[13]  Midriem Mirdanies,et al.  Dual-axis solar tracking system: A combined astronomical estimation and visual feedback , 2016, 2016 International Conference on Sustainable Energy Engineering and Application (ICSEEA).

[14]  Azah Mohamed,et al.  Performance evaluation and characterization of a 3-kWp grid-connected photovoltaic system based on tropical field experimental results: new results and comparative study , 2015 .

[15]  Nyoman Sugiartha,et al.  Development of an Arduino-based Data Acquisition Device for Monitoring Solar PV System Parameters , 2018 .

[16]  Yosoon Choi,et al.  Temperature Dependent Power Modeling of Photovoltaics , 2014 .

[17]  Majid Dehghani,et al.  The Effect of Temperature on Photovoltaic Cell Efficiency , 2011 .

[18]  Mohammad Bagher Menhaj,et al.  Maximizing Output Power of a Solar Panel via Combination of Sun Tracking and Maximum Power Point Tracking by Fuzzy Controllers , 2010 .