Hybrid optimization algorithm for thermal analysis in a solar parabolic trough collector based on nanofluid

In recent years, many research works focused on improving and reducing the cost of solar collectors. This paper focuses upon the development of an efficient modeling and optimization of solar collector. The approach adopted in modeling utilizes a parabolic trough collector absorber tube with non-uni...

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Vydáno v:Energy (Oxford) Ročník 82; s. 857 - 864
Hlavní autoři: Mohammad Zadeh, P., Sokhansefat, T., Kasaeian, A.B., Kowsary, F., Akbarzadeh, A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 15.03.2015
Témata:
algorithms
collectors
computer software
convection
Fluid flow
GA (genetic algorithm)
Genetic algorithms
Heat transfer
Hybrid optimization algorithms
Matlab
Nanofluid
Nanofluids
nanoparticles
Nanostructure
oils
Optimization
Parabolic trough collector
quadratic programming
simulation models
Solar collectors
SQP (sequential quadratic programming
temperature
Thermal analysis
SQP (sequential quadratic programming
GA (genetic algorithm)
Hybrid optimization algorithms
Nanofluid
Parabolic trough collector
ISSN:0360-5442
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Shrnutí:In recent years, many research works focused on improving and reducing the cost of solar collectors. This paper focuses upon the development of an efficient modeling and optimization of solar collector. The approach adopted in modeling utilizes a parabolic trough collector absorber tube with non-uniform heat flux, fully developed mixed convection flow and Al2O3/synthetic oil as a base fluid. Optimization of thermal analysis in a solar trough collector using nanofluid is non-convex, non-linear and computationally intensive process. In order to overcome these difficulties, a hybrid optimization method involving GA (genetic algorithm) and SQP (sequential quadratic programming) is introduced in the optimization process. The optimization problem used in this study involves maximization of a non-dimensional correlation consisting of Nusselt number and pressure drop with Reynolds and Richardson number which are used as design constraints. The methodology implemented within an integrated environment involving Matlab, Gambit and Fluent. The results obtained show that heat transfer enhancement has a direct relationship with the nanoparticle concentration ratio whereas it has inverse relationship with the operational temperature. In addition, the results show that the proposed methodology provides an effective way of solving thermal analysis in a solar parabolic trough collectors based on simulation models. •The thermal behavior of synthetic oil/Al2O3 in a trough collector is simulated.•The thermal performance of the system is improved using hybrid GA-SQP algorithm.•The optimum values of diameter and velocity are 0.065 m and 0.31 m/s, respectively.•The results show 10% improvement in the assigned objective function.
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ISSN:0360-5442
DOI:10.1016/j.energy.2015.01.096