Numerical Modeling and Heuristic Algorithms for Nanogenerator Behavior Analysis

A., DIB and A., HASSAM and K., SRAIRI and L., SAIDI (2016) Numerical Modeling and Heuristic Algorithms for Nanogenerator Behavior Analysis. In: Fourth International Conference on Advances in Information Processing and Communication Technology - IPCT 2016, 18-19 August 2016, Rome, Italy.

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Abstract

Recently, the desire for a self-powered micro and nanodevices has attracted a great interest of using sustainable energy sources. Further, the ultimate goal of nanogenerator is to harvest energy from the ambient environment in which a self powered device based on these generators is needed. With the development of nanogenerator-based circuits design and optimization, the building of new device simulator is necessary for the study and the synthesis of electromecanical parameters of this type of models. In the present article, both numerical modeling and optimization of piezoelectric nanogenerator based on zinc oxide have been carried out. They aim to improve the electromecanical performances, robustness, and synthesis process for nanogenerator. The proposed model has been developed for a systematic study of the nanowire morphology parameters in stretching mode. In addition, heuristic optimization technique, namely, particle swarm optimization has been implemented for an analytic modeling and an optimization of nanogenerator-based process in stretching mode. Moreover, the obtained results have been tested and compared with conventional model where a good agreement has been obtained for excitation mode. The developed nanogenerator model can be generalized, extended and integrated into simulators devices to study nanogenerator-based circuits.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Numerical modeling, Heuristic Algorithms,Nanogenerator, Particle Swarm Optimization, Electrical potential
Depositing User: Mr. John Steve
Date Deposited: 22 Mar 2019 11:55
Last Modified: 22 Mar 2019 11:55
URI: http://publications.theired.org/id/eprint/816

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