EXPLORING SOLAR THERMAL PHYSICS: HEAT TRANSFER AND ENERGY CONVERSION MECHANISMS

Authors

  • Usman Rashid Quaid-e-Azam University, Islamabad Author
  • Fatima Iqbal National University of Sciences and Technology (NUST), Islamabad Author

Keywords:

Solar Thermal Energy, Heat Transfer, Energy Conversion, Nanofluids, Thermal Efficiency, Computational Modeling

Abstract

The present study explores the intricate dynamics of solar thermal physics, focusing on the mechanisms of heat transfer and energy conversion in solar collector systems. Utilizing a mixed-methods experimental approach, we evaluated system behavior under varying solar irradiance, mass flow rates, and working fluid compositions. A total of nine tables and twelve figures were generated, offering a quantitative and visual representation of the performance metrics across multiple operational trials. The findings revealed a consistent increase in outlet temperature with elevated irradiance and optimized nanofluid flow, achieving peak thermal efficiencies exceeding 78% in select configurations. Line plots illustrated progressive thermal accumulation over time, while bar charts compared collector performance across design variants. Scatter plots captured radiative loss patterns, and pie charts highlighted that convection accounted for the largest portion of total heat losses. Hybrid figures integrating temperature and energy efficiency revealed complex system interactions requiring dynamic regulation. Simulation results corroborated empirical findings, reinforcing the importance of computational modeling in thermal system design. Statistical validation using ANOVA confirmed the significance of operational parameters in influencing thermal efficiency (p < 0.01). Collectively, these results underscore the potential of integrated design approaches—combining experimental diagnostics, numerical modeling, and thermodynamic optimization—for enhancing solar thermal energy systems. The study not only confirms established theoretical models but also extends them by validating real-time system behaviors under fluctuating environmental conditions. These insights offer valuable implications for researchers, engineers, and policy planners aiming to develop high-efficiency, sustainable energy solutions in the face of global energy and climate challenges.

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Published

2024-06-30