DocumentCode :
167059
Title :
Energy harvesting using Graphene based antenna for UV spectrum
Author :
Vakil, Askhan ; Bajwa, Hassan
Author_Institution :
Dept. of Electr. Eng., Univ. of Bridgeport, Bridgeport, CT, USA
fYear :
2014
fDate :
2-2 May 2014
Firstpage :
1
Lastpage :
4
Abstract :
Recent advances in the fabrication and characterization of nanomaterials have led to the intelligible applications of such nanomaterials in the next generation of flexible electronics and highly efficient photovoltaic devices. Nanotechnology has been used in thin film photovoltaic devices, and is considered as one of the most promising research areas in power harvesting applications. The excellent electron transport properties of Graphene make it an attractive choice for the next generation of electronics and applications in energy-related areas. In this paper, we present the design and an analytical model of graphene-based nanoscale antennas for power harvesting applications. Unlike conventional solar cells that harvest energy in the visible light frequencies range, we focus on the design of a nanoscale antenna that harvests energy in the UV spectrum range frequencies. Though the irradiance of UV from the sun is less than infrared and visible light frequencies, the excess energy of photons in the UV frequency is greater than infrared or visible light frequencies and makes up for the lack of irradiance.
Keywords :
energy harvesting; graphene; microstrip antennas; nanotechnology; solar cells; UV spectrum; electron transport properties; energy harvesting; flexible electronics; graphene-based nanoscale antennas; nanomaterials; photovoltaic devices; power harvesting applications; semiconductor based solar cells; thin film photovoltaic devices; Antennas; Energy harvesting; Graphene; Photonics; Photovoltaic cells; Photovoltaic systems; Energy harvesting; Graphene based antenna; Nanoantenna; Patch antenna; Solar energy; UV frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Applications and Technology Conference (LISAT), 2014 IEEE Long Island
Conference_Location :
Farmingdale, NY
Type :
conf
DOI :
10.1109/LISAT.2014.6845203
Filename :
6845203
Link To Document :
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