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Photovoltaic Cell with Built-In Antenna for Internet of Things Applicationsoa mark
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Publication Year
2021-01-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Access, Vol.9, pp.107437-107445
Keyword
Compact antennaintegrated antennaIoT devicesphotovoltaic (PV) cellslot antenna
Mesh Keyword
Antenna operationBottom contactsBuilt-in antennasCompact and low profileGround planesInternet of Things (IOT)Optical transparencyPower conversion efficiencies
All Science Classification Codes (ASJC)
Computer Science (all)Materials Science (all)Engineering (all)
Abstract
A compact and low-profile photovoltaic (PV) cell with a Built-In antenna is proposed for Internet of Things (IoT) applications. The proposed design exploits the gallium arsenide (GaAs)-based PV cell for antenna operation; for this purpose, a hexagonal slot with a trapezoidal perturbation is cut from the active area and bottom contact of the PV cell for resonance. The bottom contact of the PV cell is also used as the ground plane for the antenna. An AC blocking circuit is designed to prevent the flow of RF current toward the PV cell, and a chip inductor is used as an RF choke in the circuit. Thus, a single device simultaneously functions as a PV cell and an antenna. The GaAs PV cell shows a power conversion efficiency (PCE) of 13.25% without antireflection coating, with an open-circuit voltage (Voc), a short-circuit current density (Jsc), and a fill factor (FF) of 0.963 V, 21.00 mA/cm2, and 65.52%, respectively. Furthermore, the optical transparency of the proposed PV-cell antenna is greater than 90%. The complete structure occupies an overall volume of 31.4 mm $\times33$ mm $\times0.639$ mm ( $0.25\lambda _{\mathrm {o}} \times 0.26\lambda _{\mathrm {o}} \times 0.0052\lambda _{\mathrm {o}}$ at 2.45 GHz), and the antenna operates in the range of 2.14 to 2.94 GHz, with a gain of 2.8 dBi at 2.45 GHz.
ISSN
2169-3536
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32198
DOI
https://doi.org/10.1109/access.2021.3101641
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Type
Article
Funding
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded Korea Government Ministry of Science and ICT (MSIT) under Project 2018R1D1A1A02086071, in part by the Human Resources Program in Energy Technology of Korea Institute of Energy Technology Evaluation and Planning (KETEP), and in part by the Ministry of Trade, Industry and Energy, Republic of Korea, under Project 20184030202220.
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 Lee, Jaejin Image
Lee, Jaejin이재진
Department of Electrical and Computer Engineering
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