Multi-objective genetic algorithm for the optimization of a flat-plate solar thermal collector

Alexandre Mayer; Lucie Gaouyat; Delphine Nicolay; Timoteo Carletti; Olivier Deparis

doi:10.1364/OE.22.0A1641

Multi-objective genetic algorithm for the optimization of a flat-plate solar thermal collector

Alexandre Mayer, Lucie Gaouyat, Delphine Nicolay, Timoteo Carletti, Olivier Deparis

Research output: Contribution to journal › Article › peer-review

108 Downloads (Pure)

Abstract

We present a multi-objective genetic algorithm we developed for the optimization of a flat-plate solar thermal collector. This collector consists of a waffle-shaped Al substrate with NiCrO_x cermet and SnO₂ anti-reflection conformal coatings. Optimal geometrical parameters are determined in order to (i) maximize the solar absorptance a and (ii) minimize the thermal emittance ε. The multi-objective genetic algorithm eventually provides a whole set of Pareto-optimal solutions for the optimization of α and ε, which turn out to be competitive with record values found in the literature. In particular, a solution that enables α= 97.8% and ε= 4.8% was found.

Original language	English
Pages (from-to)	A1641-A1649
Journal	Optics Express
Volume	22
Issue number	21
DOIs	https://doi.org/10.1364/OE.22.0A1641
Publication status	Published - 2014

Access to Document

10.1364/OE.22.0A1641

paper90Submitted manuscript, 264 KB

https://www.unamur.be/services/sevrex/sevrexp/librecours/2014/lc-decembre-2014/lc-93

Cite this

@article{82b5c7515b1f420c9ae482d14a6981b0,

title = "Multi-objective genetic algorithm for the optimization of a flat-plate solar thermal collector",

abstract = "We present a multi-objective genetic algorithm we developed for the optimization of a flat-plate solar thermal collector. This collector consists of a waffle-shaped Al substrate with NiCrOx cermet and SnO2 anti-reflection conformal coatings. Optimal geometrical parameters are determined in order to (i) maximize the solar absorptance a and (ii) minimize the thermal emittance ε. The multi-objective genetic algorithm eventually provides a whole set of Pareto-optimal solutions for the optimization of α and ε, which turn out to be competitive with record values found in the literature. In particular, a solution that enables α= 97.8% and ε= 4.8% was found.",

keywords = "algorithme g{\'e}n{\'e}tique",

author = "Alexandre Mayer and Lucie Gaouyat and Delphine Nicolay and Timoteo Carletti and Olivier Deparis",

year = "2014",

doi = "10.1364/OE.22.0A1641",

language = "English",

volume = "22",

pages = "A1641--A1649",

journal = "Optics Express",

publisher = "OSA - The Optical Society",

number = "21",

}

TY - JOUR

T1 - Multi-objective genetic algorithm for the optimization of a flat-plate solar thermal collector

AU - Mayer, Alexandre

AU - Gaouyat, Lucie

AU - Nicolay, Delphine

AU - Carletti, Timoteo

AU - Deparis, Olivier

PY - 2014

Y1 - 2014

N2 - We present a multi-objective genetic algorithm we developed for the optimization of a flat-plate solar thermal collector. This collector consists of a waffle-shaped Al substrate with NiCrOx cermet and SnO2 anti-reflection conformal coatings. Optimal geometrical parameters are determined in order to (i) maximize the solar absorptance a and (ii) minimize the thermal emittance ε. The multi-objective genetic algorithm eventually provides a whole set of Pareto-optimal solutions for the optimization of α and ε, which turn out to be competitive with record values found in the literature. In particular, a solution that enables α= 97.8% and ε= 4.8% was found.

AB - We present a multi-objective genetic algorithm we developed for the optimization of a flat-plate solar thermal collector. This collector consists of a waffle-shaped Al substrate with NiCrOx cermet and SnO2 anti-reflection conformal coatings. Optimal geometrical parameters are determined in order to (i) maximize the solar absorptance a and (ii) minimize the thermal emittance ε. The multi-objective genetic algorithm eventually provides a whole set of Pareto-optimal solutions for the optimization of α and ε, which turn out to be competitive with record values found in the literature. In particular, a solution that enables α= 97.8% and ε= 4.8% was found.

KW - algorithme génétique

UR - http://www.scopus.com/inward/record.url?scp=84908211012&partnerID=8YFLogxK

U2 - 10.1364/OE.22.0A1641

DO - 10.1364/OE.22.0A1641

M3 - Article

AN - SCOPUS:84908211012

VL - 22

SP - A1641-A1649

JO - Optics Express

JF - Optics Express

IS - 21

ER -

Multi-objective genetic algorithm for the optimization of a flat-plate solar thermal collector

Abstract

Access to Document

Other files and links

Fingerprint

consortium des équipements de calcul intensif

High Performance Computing Technology Platform

Etude de l'absorption optique sélective d'un substrat métallique texturé et d'un revêtement de type couches minces combinés afin d'augmenter les performances d'absorbeurs solaires thermiques

Cite this

Multi-objective genetic algorithm for the optimization of a flat-plate solar thermal collector

Abstract

Access to Document

Other files and links

Fingerprint

Projects

consortium des équipements de calcul intensif

Equipment

High Performance Computing Technology Platform

Student theses

Etude de l'absorption optique sélective d'un substrat métallique texturé et d'un revêtement de type couches minces combinés afin d'augmenter les performances d'absorbeurs solaires thermiques

Cite this