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[IEEE 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) - Paris, France (2019.4.23-2019.4.26)] 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) - Tilt Angle Optimization of Photovoltaic Panels

DOI:10.1109/codit.2019.8820549 出版年份:2019 更新时间:2025-09-16 10:30:52
摘要: The solar PV power sector in Spain has been developing at a spectacular rate in recent years. The energy cost and the dependence on fossil fuels can be reduced by improving the efficiency of photovoltaic energy production The performance of a solar radiation conversion system is affected by tilt angle with the horizontal plane. Thus, a photovoltaic array needs to be tilted at the correct angle to maximize its performance. In this paper, we investigate how to determine the optimum tilt angle. This procedure is illustrated for the city of Barcelona (Spain) located at latitude 41o 22' 56'' North and longitude 2o 6'56'' East. The optimal tilt angle varies according the seasons: In Winter (December, January, February) is 56.4, in Spring (March, April, May) is 29.11? in Summer (Jun, July, August) is 13.76? and in Autumn (September, October, November) is 48.14?. Finally, the annual optimum tilt angle for our latitude is 36.87?, with this optimal slope angel, maximum monthly and annual solar radiation is calculated. So, by means of the proposed approach, the energy generation is increased in 10.54% thanks to we are able to benefit from the maximum solar radiation.
作者: Z. Rasouli Dogaheh,V. Puig
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Investigating the optimal tilt angle for photovoltaic panels in Barcelona to maximize solar energy capture and increase energy generation efficiency.

The study concludes that adjusting the tilt angle of photovoltaic panels according to monthly, seasonal, and annual optimal angles significantly increases solar energy capture and energy generation efficiency in Barcelona. The annual optimum tilt angle is found to be 36.87?, leading to a 10.54% increase in energy generation compared to horizontal placement.

The study focuses on Barcelona and may not be directly applicable to other locations without adjustments for local climatic and geographic conditions. The method improves upon the KT method but still relies on categorization of sky conditions which may not capture all variability.

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