3.9 Article

Influence of cooling water flow rate and temperature on the photovoltaic panel power

期刊

ENERGY ECOLOGY AND ENVIRONMENT
卷 7, 期 1, 页码 70-87

出版社

SPRINGERNATURE
DOI: 10.1007/s40974-021-00223-4

关键词

Electrical power output; Linear regression analysis; Power loss; Second-degree polynomial model; Solar radiation; Thermal power output

资金

  1. Ministry of Research, Technology and Higher, Indonesia [025/SP2H/LT/DRPM/IV/2017]

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The study predicts temperature and power distribution of a water-cooled photovoltaic panel using polynomial models, finding maximum power values around noon and the impact of cooling water flow rate on additional electrical power generation. Power loss in the panel is shown to be sensitive to water flow rate as well. This research offers insights for future solar energy management in residential and commercial sectors.
The photovoltaic panel cooled by a water flowing is commonly used in the study of solar cell to generate the electrical and thermal power outputs of the photovoltaic module. A practical method is therefore required for predicting the distributions of temperature and photovoltaic panel powers over time. In this study, the second-degree polynomial models were established to predict the distributions of temperature and various photovoltaic panel powers, while the linear models were used to analyse the correlation between solar power input and various photo-voltaic panel powers. The results showed that the maximum values of electrical power, thermal power and power loss reached at the temperature around noontime. The same value of a photovoltaic panel power recorded at two temperatures was verified from the experiment of photovoltaic panel cooled with different cooling water flow rates. A volumetric flow rate of cooling water passing through the copper tubes determines the amount and characteristics of additional electrical power generated by the water-cooled photovoltaic panel, while a power loss in the photovoltaic panel is very sensitive to the rate of water flow. This study provides a new insight into the management of solar energy for the residential and commercial purposes in the future.

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