Performance evaluation of nanofluid-based photovoltaic thermal (PVT) system with regression analysis

Area of Science:

• Renewable Energy Systems
• Thermal Engineering
• Materials Science

Background:

• Bangladesh faces power sector challenges due to global energy crises.
• Alternative energy sources are crucial for conserving natural gas and fossil fuels.
• Photovoltaic thermal (PVT) systems are investigated for efficient energy generation.

Purpose of the Study:

• To numerically evaluate the parametric performance of a PVT system in Dhaka, Bangladesh.
• To analyze the impact of CNT nanofluid as a coolant on PVT efficiency.
• To understand the influence of Reynolds number, solar irradiation, and monthly variations on PVT performance.

Main Methods:

• Numerical simulation using the Galerkin weighted residual based finite element method.
• Utilizing meteorological data for Dhaka from Renewables.ninja.
• Investigating parameters: Reynolds number (200–1000) and solar irradiation (200–1000 W/m²).

Main Results:

• Increased Reynolds number led to decreased cell and fluid temperatures, enhancing overall PVT efficiency.
• Higher solar irradiation resulted in lower electrical and thermal efficiencies.
• Monthly variations significantly impacted the photovoltaic thermal performance.

Conclusions:

• The study provides a parametric evaluation of PVT systems in Dhaka, Bangladesh.
• Findings indicate optimal operating conditions for enhanced PVT efficiency using CNT nanofluid.
• This research aids in improving the efficacy of PVTs as an alternative renewable energy source in the region.