Concept Paper
Version 1
Preserved in Portico This version is not peer-reviewed
Ocean Wave Energy Converter (WEC) with IoT Applications
Version 1
: Received: 2 June 2023 / Approved: 5 June 2023 / Online: 5 June 2023 (08:39:34 CEST)
How to cite: Amin, M.S. Ocean Wave Energy Converter (WEC) with IoT Applications. Preprints 2023, 2023060277. https://doi.org/10.20944/preprints202306.0277.v1 Amin, M.S. Ocean Wave Energy Converter (WEC) with IoT Applications. Preprints 2023, 2023060277. https://doi.org/10.20944/preprints202306.0277.v1
Abstract
Ocean wave energy is a significantly well-liked renewable energy source. The Internet of Things (IoT) offers a great opportunity for development of the ocean wave energy research. The IoT technology significantly enhanced the performance of the ocean wave energy converter (WEC). The data obtained from IoT devices reduce the risk of using WEC. However, Integrating IoT devices with the WEC is a daunting task because controlling the WEC needs real-time data. This paper investigated the performance of WEC and estimate the lifetime of the modules. IoT devices integrated with various sensors determine different parameters and conditions of the ocean. The IoT platform is used for wireless voltmeters, wireless AC current meters, wireless voltage detection, wireless resistance sensors, wireless temperature sensor, wireless accelerometer, wireless pressure meters, and wireless water level sensors to determine the real-time condition of the ocean wave. These devices are also proven to be reliable and accurate.
Keywords
Wave Energy Converter (WEC); IoT-based sensors; Wireless devices
Subject
Engineering, Electrical and Electronic Engineering
Copyright: 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.
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