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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Veröffentlicht in:	Energy (Oxford) Jg. 82; S. 857 - 864
Hauptverfasser:	Mohammad Zadeh, P., Sokhansefat, T., Kasaeian, A.B., Kowsary, F., Akbarzadeh, A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.03.2015
Schlagworte:	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
Online-Zugang:	Volltext
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