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 SnO(2) anti-reflection conformal coatings. Optimal geometrical parameters are determined in order to (i) maximize the solar absorptance α 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.
authors.forename: Alexandre
authors.initials: A
authors.lastname: Mayer
authors.forename: Lucie
authors.initials: L
authors.lastname: Gaouyat
authors.forename: Delphine
authors.initials: D
authors.lastname: Nicolay
authors.forename: Timoteo
authors.initials: T
authors.lastname: Carletti
authors.forename: Olivier
authors.initials: O
authors.lastname: Deparis
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D017076:Computer-Aided Design; D011211:Electric Power Supplies; D004735:Energy Transfer; D004867:Equipment Design; D019544:Equipment Failure Analysis; D007909:Lenses; D008027:Light; D008962:Models, Theoretical; D012031:Refractometry / Q000295:instrumentation*; D012542:Scattering, Radiation; D012993:Solar Energy