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DETERMINING THE LEVEL OF CLOUD COVER USING THE SKY IMAGER

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ARTICLE ANNOTATION

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The article examines the potential of using a sky imager device to determine the level of cloud coverage in the sky to enhance the efficiency of solar photovoltaic (PV) systems. The authors developed an automated system for detecting cloud coverage based on digital image processing using a HikVision camera. The study aims to improve the efficiency of PV systems by monitoring cloud dynamics and forecasting solar radiation. Implemented using the Python programming language, the system analyzes cloud movement in conjunction with solar position data. The results demonstrate that the proposed system enhances solar energy forecasting. The suggested method has potential for future integration into Uzhydromet systems, enabling more efficient use of renewable energy sources.

AUTHORS

E.Rahimov

Национальный научно-исследовательский институт возобновляемых источников энергии при Министерстве энергетики Республики Узбекистан

A.Imyaminov

Национальный научно-исследовательский институт возобновляемых источников энергии при Министерстве энергетики Республики Узбекистан

B.Omonov

Национальный научно-исследовательский институт возобновляемых источников энергии при Министерстве энергетики Республики Узбекистан

Tags

# photovoltaic station# фотоэлектрик станция (ФЭС)# кўриш майдони (FOV)# умумий осмон тасвирлари (TSI)# sky imager# булут қопламаси.# фотоэлектрическая станция (ФЭС)# поле зрения (FOV)# общие изображения неба (TSI)# облачное покрытие.# field of view (FOV)# total sky images (TSI)# cloud cover.

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