Abstract

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.

Highlights

  • The transition from high-carbon energy production to green and sustainable renewable energy production is gaining momentum

  • The mobiledual axis solar measurement system presented applies a maximum power point tracking (MPPT) controller for each measurement position, which adjusts the load until voltage and the current correspond to the maximum resulting power

  • In order to maximize the generated output power, authors in (Taherbaneh et al 2010) present a method based on two controllers for sun tracking and maximum power point tracking based on fuzzy-based algorithms

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Summary

Introduction

The transition from high-carbon energy production to green and sustainable renewable energy production is gaining momentum. In this paper we present an automated dual-axis measurement and tracking system, which is able to track the maximum power point output of a PV cell at its optimum angle. The angular configurations cover a quarter sphere, which results in 3D map of the measured solar power for each sweep cycle.

Results
Conclusion
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