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Comparative Study and Multi-Parameter Analysis to Optimize Device Structure of Triboelectric Nanogenerators

journal contribution
posted on 2023-08-08, 00:47 authored by Muhammad Wajahat, Abbas KouzaniAbbas Kouzani, Sui Yang KhooSui Yang Khoo, MA Parvez Mahmud
Abstract Triboelectric nanogenerator is becoming one of the most efficient energy harvesting device among all mechanical energy harvesters. This device consists of dielectric friction layers and metal electrode which generates electrical charges using electrostatic induction effect. There are several factors influencing the performance of this generator which needs to be evaluated prior to experiment. The absence of a universal technique for TENG simulation makes the device design and optimization hard before practical fabrication, which also lengthens the exploration and advancement cycle and hinders the arrival of practical applications. In order to deepen the understanding the core physic behind the working process of this device, this work will provide comparative analysis on different modes of TENG. Systematic investigation on different material combination, effect of material thickness, impact of surface patterning is evaluated to shortlist the best material combination. COMSOL Multiphysics simulating environment is used to design, model and analyze factor affecting the overall output performance of TENG. The stationary study in this simulator is performed using 2D geometry structure with higher mesh density. During this study short circuit and open circuit condition were applied to observe the behavior of charge and electric potential produced. This observation is analyzed by plotting charge transfer/electric potential against various displacement distances of dielectric friction layers. Overall, this study provides an excellent understanding and multi-parameter analysis on basic theoretical and simulation modeling of TENG device.

History

Journal

Nanotechnology

Volume

34

Article number

425403

Pagination

1-22

Location

London, Eng.

ISSN

0957-4484

eISSN

1361-6528

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Issue

42

Publisher

IOP Publishing

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