Trade-off Performance of Optical Nanoantennas for Solar Energy Harvesting Applications

Raimondi, Giuseppe; Badalamenti, R.; Livreri, Patrizia

doi:10.1109/imoc43827.2019.9317426

Cited by 5 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An optimization of the nanoantenna geometries in terms of width, length, cut, thickness, and angles, is carried out by CST Studio 2020, in order to obtain a surface plasmonic of nanoantennas resonant frequency in the middle infrared range, at about 28.3 THz [24]. In Table I terms of the field enhancement, come from previously simulations [25]. In Fig.…”

Section: Arrow Nanoantennas Design: Simulation and Sensitivity Analysismentioning

confidence: 99%

A mid-IR Plasmonic Graphene Nanorectenna-based Energy Harvester to Power IoT Sensors

Citroni

D'Arrigo

Livreri

2022

2022 11th International Conference on Renewable Energy Research and Application (ICRERA)

View full text Add to dashboard Cite

In this paper, the design of a graphene arrowbowtie nanoantenna mid-IR energy-harvester to power IOT wireless sensor is presented. For the first time, a sensitivity analysis of the mid-IR nanoantenna resonant frequencies in terms of different graphene number of sheets and chemical potential (𝝁 𝒄𝒑 ) without substrate and on a two-layer substrate composed of SiO2 and Si, is carried out. The obtained simulation results by 3D CST 2020 are useful to design an efficient infrared nanorectenna, composed of the nanoantenna and a rectifying MIM diode inside the gap. The analysis of the complete energy-harvester (EH), composed of an NxM nanorectenna array, a low-pass filter, and a DC-DC converter, is reported. With an output voltage value of 3.3 V, an output current of 10 mA, and an area of about 11,57 mm 2 , the proposed 1964x65467 nanorectenna array-based infrared energy harvester array represents an optimal solution to powering IoT wireless sensors.

show abstract

Section: Arrow Nanoantennas Design: Simulation and Sensitivity Analysismentioning

confidence: 99%