Modeling of a solar air collector heat transfer coefficient with regression algorithms
Journal Title: Firat University Journal of Experimental and Computational Engineering - Year 2022, Vol 1, Issue 1
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.
Authors and Affiliations
Ebru Kavak AKPINAR, Mehmet DAŞ
Keywords
Related Articles
- EP ID EP711732
- DOI 10.5505/fujece.2022.43153
- Views 111
- Downloads 0
Comparison of equivalent earthquake load method for TEC-2007 and TBEC-2018: Adıyaman province example
In this study, in terms of their approach to the equivalent earthquake load method, a comparison of the Turkish building earthquake codes published in 2007 and 2018 was made. For the study a reinforced concrete residenti...
An Ultraviolet Germicidal Irradiation Autonomous Robot
Utilization of UV light for disinfection and sterilization has increased as a result of its germicidal properties; nevertheless, due to its adverse effects on the skin and eyes, this poses a risk to individuals. The dema...
Surface characterization of commercial chitosan with SEM and BET techniques
Chitosan, a natural polymer, has recently been the focus of attention of researchers due to its superior properties such as biocompatible, biodegradable, renewable, and low toxicity. Especially in the fields of chemistr...
Deep deterministic policy gradient reinforcement learning for collision-free navigation of mobile robots in unknown environments
Learning how to navigate in unfamiliar environments is a critical skill for AI-powered mobile robots. Traditional methods for robot navigation typically involve three key steps: positioning, mapping, and route planning....
Obtaining and modeling the relaxation modulus of self-healing asphalt mixtures
In this study, pure and self-healing asphalt mixture samples were obtained by adding capsules containing waste vegetable oil to mixtures at 0.25, 0.50, 0.75 and 1.00% ratios. Afterwards, creep test with a constant stress...