Title of article
The Exergy Optimization of a Flat- Plate Solar Collector using AL2O3- Water, CuO-Water and TiO2-Water Nanofluids by Genetic Algorithm
Author/Authors
Boustani, Esmail Department of Mechanical Engineering - Central Tehran Branch - Islamic Azad University, Tehran, Iran , Mirabdolah Lavasani, Arash Department of Mechanical Engineering - Central Tehran Branch - Islamic Azad University, Tehran, Iran
Pages
14
From page
5
To page
18
Abstract
In this study, the exergy efficiency of a flat plate solar
collector using Al2O3, TiO2, CuO nanoparticles and pure
water as base fluid is studied. Solar radiation is selected
between 200 to 600 W/m2. The method to determine
optimum values of optimization variables has been
developed by Genetic Algorithm Toolbox in MATLAB
software. Results show by increasing solar radiation the
optimized exergy efficiency is increased 3.72% for Al2O3
and TiO2nanofluids and 3.6% for CuO nanofluid.
According to optimum values of mass flow rate of fluid,
15.22% for Al2O3 and TiO2 nanofluids and 4.35% for CuO
nanofluid is decreased, also collector inlet temperature is
decreased about 0.8% for all nanofluids. By increasing
wind speed and ambient temperature for both cases, the
exergy efficiency increased and decreased respectively.
Using nanofluids decreased 0.4% overall loss coefficient of
collector.
Keywords
Exergy , genetic algorithm , Solar Collector , Flat plate , nanofluid
Journal title
Astroparticle Physics
Serial Year
2016
Record number
2451850
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