Toward Small-Scale Wind Energy Harvesting: Design, Enhancement, Performance Comparison, and ApplicabilityReport as inadecuate

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Shock and Vibration - Volume 2017 2017, Article ID 3585972, 31 pages -

Review ArticleNanyang Technological University, 50 Nanyang Avenue, Singapore 639798

Correspondence should be addressed to Yaowen Yang

Received 8 September 2016; Accepted 15 December 2016; Published 21 March 2017

Academic Editor: Mickaël Lallart

Copyright © 2017 Liya Zhao and Yaowen Yang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The concept of harvesting ambient energy as an alternative power supply for electronic systems like remote sensors to avoid replacement of depleted batteries has been enthusiastically investigated over the past few years. Wind energy is a potential power source which is ubiquitous in both indoor and outdoor environments. The increasing research interests have resulted in numerous techniques on small-scale wind energy harvesting, and a rigorous and quantitative comparison is necessary to provide the academic community a guideline. This paper reviews the recent advances on various wind power harvesting techniques ranging between cm-scaled wind turbines and windmills, harvesters based on aeroelasticities, and those based on turbulence and other types of working principles, mainly from a quantitative perspective. The merits, weaknesses, and applicability of different prototypes are discussed in detail. Also, efficiency enhancing methods are summarized from two aspects, that is, structural modification aspect and interface circuit improvement aspect. Studies on integrating wind energy harvesters with wireless sensors for potential practical uses are also reviewed. The purpose of this paper is to provide useful guidance to researchers from various disciplines interested in small-scale wind energy harvesting and help them build a quantitative understanding of this technique.

Author: Liya Zhao and Yaowen Yang



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