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Prediction of Weather Patterns Using Linear Angstrom Model
The paper investigates the correlation between solar irradiance and sunlit hours for the city of Sharjah, United Arab Emirates. This correlation is a strong function of the weather conditions, and is vital for the design and operation of solar energy systems. The Angstrom Model is a straightforward tool that establishes a linear relationship where the model parameters b and a (slope and y-intercept, respectively) are evaluated through plotting of experimental measurements. Wind speed and relative humidity are collected to interpret their effect on the quality of incident solar radiation. The model takes into consideration winter and summer months of the year 2021, hence it provides a complete weather pattern for the year. With continuous data logging, the model will be developed to predict the weather patterns of the city of Sharjah.
Prediction of Weather Patterns Using Linear Angstrom Model
The paper investigates the correlation between solar irradiance and sunlit hours for the city of Sharjah, United Arab Emirates. This correlation is a strong function of the weather conditions, and is vital for the design and operation of solar energy systems. The Angstrom Model is a straightforward tool that establishes a linear relationship where the model parameters b and a (slope and y-intercept, respectively) are evaluated through plotting of experimental measurements. Wind speed and relative humidity are collected to interpret their effect on the quality of incident solar radiation. The model takes into consideration winter and summer months of the year 2021, hence it provides a complete weather pattern for the year. With continuous data logging, the model will be developed to predict the weather patterns of the city of Sharjah.
Prediction of Weather Patterns Using Linear Angstrom Model
Aljaghoub, Haya (author) / Alashkar, Adnan (author) / Alami, Abdul Hai (author) / Tawalbeh, Muhammad (author)
2022-02-21
3395812 byte
Conference paper
Electronic Resource
English
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