Solar Thermal Absorber Using Fe2O3‐SnSe2‐Ti‐Layered Structure Based on Graphene Material

Author:

Almawgani Abdulkarem H. M.1,Bo Han Bo2,Patel Shobhit K.3ORCID,Armghan Ammar4,Alabsi Basim Ahmad5,Taya Sofyan A.6

Affiliation:

1. Electrical Engineering Department College of Engineering Najran University Najran Saudi Arabia

2. Department of Information Communication and Technology Marwadi University Rajkot Gujarat 360003 India

3. Department of Computer Engineering Marwadi University Rajkot Gujarat 360003 India

4. Department of Electrical Engineering. College of Engineering Jouf University Sakaka 72388 Saudi Arabia

5. Department of Computer Science, Applied College Najran University Najran Saudi Arabia

6. Physics Department Islamic University of Gaza Gaza P.O. Box 108 Palestine

Abstract

AbstractIn solar energy systems, manufacturing solar absorbers also includes an important section. A one‐perfect design is constructed in three layers to develop a good solar absorption rate and a graphene layer is used in this developed structure. Titanium (Ti) is in the base layer, Stannic selenide (SnSe2) is in the substrate layer, and Ferric Oxide (Fe2O3) is a resonator. The absorption rates can be presented between the overall wavelength range of 0.2–3 µm and divided into three segments. The absorption percentage is above 90% for 2800 nm, more than 95% is in the half region of 0.2–2 µm (1800 nm), and the perfect absorption result of 97% is between 0.2 and 1.5 µm (1300 nm), respectively. AM 1.5 section and graphene results can be calculated by using the numerical equations. To indicate the fewer and greater parameters of the present number, parameter variation sections can be presented. According to the symmetrical design of the developed structure, TE and TM results are almost identical and can be configured in color representation. The greater the amount of light intensity, the greater the number of absorption rates. The polarization can be checked between 0° and 50° changes.

Funder

Najran University

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

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