Issue |
E3S Web Conf.
Volume 65, 2018
International Conference on Civil and Environmental Engineering (ICCEE 2018)
|
|
---|---|---|
Article Number | 05024 | |
Number of page(s) | 8 | |
Section | Environmental Engineering | |
DOI | https://doi.org/10.1051/e3sconf/20186505024 | |
Published online | 26 November 2018 |
The Application of Piezoelectric Sensor as Energy Harvester from Small-scale Hydropower
School of Ocean Engineering, University of Malaysia Terengganu, 21030 Kuala, Terengganu, Terengganu, Malaysia.
* Corresponding author: hidayatul@umt.edu.my
Renewable energy technology nowadays is advancing in research and application as an alternative for non-renewable energy sources including fossil fuels and coals since it is considerably less hazardous for the environment. In recent years, many studies to harvest energy from water energy including ocean waves and hydropower has been conducted. The inherent characteristic of the piezoelectric sensor which can convert mechanical energy to electrical energy has created an alternative to generate energy from renewable sources. The main aim of this research is to harvest energy from water movements which include self-generated water waves, automated water waves, flowing water and falling water. The piezoelectric sensor used in this research is a pressure-based piezoelectric sensor which means when there is a pressure exerted on the surface, it will generate electricity. A prototype was designed and simulated by Proteus software and the prototype was fabricated for energy harvesting from water movements. In this study, four methods had been used to harvest energy from small scale hydropower where two methods are from water waves generated from a hairdryer and ultrasonic cleaner and another two methods from falling water and flowing water. The results obtained shows that harvested energy from falling water gives the best results in which it has accumulated up to 13V in the same amount of time as compared to water waves and water flow.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.