Numerical and ensemble machine learning-based investigation of the energy and exergy yields of a concentrating photovoltaic thermal device equipped with a perforated twisted tube turbulator

• Main Authors: Wang G., Hai T., Paw J.K.S., Pasupuleti J., Abdalla A.N.
• Other Authors: 58839436200
• Format: Article
• Published: Elsevier Ltd 2024
• Subjects: Boosted regression tree; Energy; Exergy; Photovoltaic thermal collector; Solar energy; Turbulator; Energy efficiency; Machine learning; Photovoltaic effects; Reynolds number; Solar panels; Solar power generation; Boosted regression trees; Concentrating photovoltaic; Energy and exergy; Photovoltaic thermals; Reynold number; Thermal collectors; Thermal devices; Turbulators

The current research was carried out with the aim of numerically investigating the effect of employing a perforated twisted tube turbulator on the energy and exergy yields of a concentrating photovoltaic thermal (PVT) device. The simulations were performed in 4 different Reynolds numbers (Re) (i.e....