标题:Experimental sea wave energy extractor based on piezoelectric Ericsson cycles
作者:Zhang, Bin; Ducharne, Benjamin; Gupta, Bhaawan; Sebald, Gael; Guyomar, Daniel; Gao, Jun
作者机构:[Zhang, Bin; Gao, Jun] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai, Peoples R China.; [Ducharne, Benjamin; Gupta, Bhaawan; Sebald, Gael; G 更多
通讯作者:Ducharne, Benjamin
通讯作者地址:[Ducharne, B]INSA Lyon, LGEF, Batiment Gustave Ferrie 8 Rue Phys, F-69621 Villeurbanne, France.
来源:JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
出版年:2018
卷:29
期:6
页码:1102-1112
DOI:10.1177/1045389X17730917
关键词:Energy harvesting; Ericsson cycle; piezoelectricity; hysteresis;; fractional derivative
摘要:Recycling ambient energies with electric generators instead of employing batteries with limited lifespans has motivated a large scientist community over two decades. Sea waves exhibit a large energy density. The amount of energy that could be extracted from the sea waves is very high. This work describes a technique of sea wave energy extraction based on a piezoelectric conversion and an analogy with thermodynamic Ericsson loops. By synchronizing external electric field to the maximum and the minimum of the sea wave mechanical stress excitations, the piezoelectric material dielectric hysteresis loop area is increased corresponding to the maximum of the energy available. In this article, technical solutions are proposed for the in site deployment of the proposed technique (maximum and minimum detection, external electric field source synchronization). Experimental measuring benches have been developed to monitor the sea wave mechanical excitation and to determine precisely the energy-harvesting potential. Adequate dielectric hysteresis model is proposed to numerically determine the best configuration (frequency, amplitude) of electric field to impose. Even if the Ericsson technique requires external electronic devices, the weak consumption of such components allows a large enhancement of the amount of energy extracted compared to a basic piezo element conversion.
收录类别:EI;SCIE
WOS核心被引频次:2
资源类型:期刊论文
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