Publication:
Evolutionary algorithms applied to multi-layered radiative cooling metamaterials

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Date

2022

Director

Publisher

IEEE
Acceso abierto / Sarbide irekia
Contribución a congreso / Biltzarrerako ekarpena
Versión aceptada / Onetsi den bertsioa

Project identifier

Gobierno de Navarra//AEVOMETA II

Abstract

A newly design method for designing multi-layered radiative cooling metamaterials based on genetic algorithms (GAs) is exposed. The developed GA has been tested in three cases, resulting in three different structures that achieve, theoretically under direct sunlight, a net cooling power of 39.96 W/m 2 , 57.78 W/m 2 and 61.77 W/m 2 . Such devices are composed of 9, 15 and 24 layers respectively with a total thickness of less than 4.8 µm in the worst case. By the nature of the method, fewer design experience in metamaterials is needed, as well as it is free-cost, due to the use of analytical calculations for the emissivity of the meta materials instead of a commercial generic electromagnetic solver. Automated design of radiative cooling multi-layered structures and other applications in the infrared range can be further developed with this work.

Description

Keywords

Multi-layered radiative cooling metamaterials, Genetic algorithms

Department

Ingeniería Eléctrica, Electrónica y de Comunicación / Institute of Smart Cities - ISC / Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren

Faculty/School

Degree

Doctorate program

item.page.cita

Lezaun, C., Jorajuria, T., Torres, A. E., Herrera, P., & Beruete, M. (2022). Evolutionary algorithms applied to multi-layered radiative cooling metamaterials. 2022 Sixteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials), 265-267. https://doi.org/10.1109/Metamaterials54993.2022.9920754

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