Modeling of a solar air collector heat transfer coefficient with regression algorithms

Year 2022, Volume: 1 Issue: 1, 14 - 23, 24.02.2022

Ebru Kavak Akpınar Mehmet Daş

https://doi.org/10.5505/fujece.2022.43153

Abstract

Solar air collectors (SAC) are thermodynamic systems that convert solar energy into useful fluid energy. SACs are very common in heating, cooling, food drying, and many other low-temperature applications. In this study, the heat transfer coefficient in the SAC was calculated according to Newton's cooling law. The obtained values and the thermal performance of the SAC were examined during the sunshine period. At the same time, SAC heat transfer coefficient models were made with the help of regression algorithms (multiple linear regression, simple linear regression) using SAC temperature data obtained by experimental measurements (inlet fluid, outlet fluid, and absorber plate) and solar radiation data on the SAC. As a result of the modeling, linear mathematical equations expressing the heat transfer coefficient for SACs were obtained. Obtained experimental and model data were compared. SAC heat transfer coefficient values were modeled with a mean absolute error of 0.6.

Keywords

Solar air collector, Heat transfer coefficient, Solar energy, Regression, Equation derivation

Supporting Institution

Firat University Scientific Research Foundation

Project Number

MF.17.11 and MF. 16.54

Thanks

This study was supported by Firat University Scientific Research Foundation

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