Experimental and computational analysis enhances thermal efficiency in solar collectors, suggesting improved energy harvesting.
Solar thermal energy collectors represent one of the most economically viable and deployable renewable energy technologies for India's climate context, with solar irradiance levels exceeding 5.5 kWh/m²/day across most of the Indian subcontinent. A critical constraint on solar thermal system efficiency is the limited thermal conductivity of conventional heat transfer fluids — water and thermic oil — which determines the rate of heat acquisition from the absorber plate to the working fluid and consequently the achievable system efficiency. Nanofluids — engineered suspensions of nanoparticles (1–100 nm) in base fluids — offer significantly enhanced thermal conductivity, specific heat capacity, and convective heat transfer coefficients compared to base fluids, potentially improving solar collector thermal efficiency by 5–25% depending on nanoparticle type, concentration, and collector configuration.This study presents a comprehensive experimental and computational investigation of Al₂O₃/water, TiO₂/water, and Al₂O₃-TiO₂ hybrid nanofluids across three solar collector configurations — flat plate collector (FPC), evacuated tube collector (ETC), and parabolic trough collector (PTC) — at five mass flow rates (0.5–2.5 L/min) and three nanoparticle volume concentrations (0.5%, 1.0%, 2.0%). Taguchi L16 orthogonal array design systematically identifies optimal parameter combinations for maximum thermal efficiency. CFD simulation using ANSYS Fluent 2023R1 with realizable k-ε turbulence model and discrete phase modelling validates experimental results. The Al₂O₃-TiO₂ hybrid nanofluid (1.5% concentration) in the PTC configuration achieves the highest thermal efficiency of 83.7% — a 22.5% improvement over base water in the same collector — while the thermo-economic analysis confirms superior performance factor (PF = ηth/ΔP) for ETC-hybrid combination at 2.0 L/min flow rate.
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Ramkumar Venkatasubramanian Balakrishnan Suresh (2026) studied this question.
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