Issue |
J. Eur. Opt. Soc.-Rapid Publ.
Volume 14, Number 1, 2018
|
|
---|---|---|
Article Number | 11 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1186/s41476-018-0079-7 | |
Published online | 10 April 2018 |
Research
Optimization of a perfect absorber multilayer structure by genetic algorithms
Dipartimento di Scienze di Base ed Applicato per l’Ingegneria, Sapienza Università di Roma, Via A. Scarpa 16, 00161, Rome, Italy
Received:
18
November
2017
Accepted:
28
March
2018
Background: An increasing interest has been recently grown in the development of nearly perfect absorber materials for solar energy collectors and more in general for all the thermophotovoltaic applications.
Methods: Wide angle and broadband perfect absorbers with compact multilayer structures made of a sequence of ITO and TiN layers are here studied to develop new devices for solar thermal energy harvesting. Genetic Algorithms are introduced for searching the optimal thicknesses of the layers so to design a perfect broadband absorber in the visible range, for a wide range of angles of incidence from 0° to 50°, and for both polarizations.
Results: Genetic Algorithms allow to design several optimized structures with 6, 8, and 10 layers reaching a very high average absorbance of 97%, 99% and 99.5% respectively together with a low hemispherical total emissivity (<20%) from 200 °C till 400 °C.
Conclusions: The proposed multilayer structures use materials with high thermal stability, and high melting temperature, can be fabricated with simple thin film deposition techniques, appearing to have very promising applications in solar thermal energy harvesting.
Key words: Optical materials and properties / Perfect absorber / Multilayer structure / Thermophotovoltaic / Solar energy collectors
© The Author(s) 2018
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.