A self-powered and self-monitoring ultra-low frequency wave energy harvester for smart ocean ranches

• Published in: iScience Vol. 27; no. 9; p. 110665
• Main Authors: Peng, Yang, Tang, Hongjie, Pan, Hongye, Zhang, Zutao, Luo, Dabing, Tang, Minfeng, Kong, Weihua, Li, Yingjie, Liu, Genshuo, Hu, Yongli
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 20.09.2024; Elsevier
• Subjects: Electrochemical energy production; Electrochemistry; Engineering; Electrochemistry; Engineering; Electrochemical energy production
• ISSN: 2589-0042; 2589-0042
• DOI: 10.1016/j.isci.2024.110665

The ocean ranch environment contains ultra-low-frequency wave energy that can be utilized for powering low-power equipment. Therefore, this article proposes a smart ocean ranch self-powered and self-monitoring system (SOR-SSS) which consists of several key components: a mass pendulum ball (MPB), a commutation wheel system (CWS), an electromagnetic energy harvesting unit (EEHU), and four piezoelectric energy harvesting units (PEHU). Through six-degree-of-freedom vibration test bench experiments, the SOR-SSS achieved a maximum output power of 17.56 mW under a working condition of 0.4 Hz, which was sufficient to power 152 LED lights. Additionally, by training the experimental base data using the LSTM algorithm, two different tasks were trained with a maximum accuracy of 99.72% and 99.80%, respectively. These results indicate that the SOR-SSS holds significant potential for collecting and predicting ultra-low-frequency blue energy. It can provide an effective energy supply and monitoring solution for smart ocean ranch. [Display omitted] •An ultra-low frequency wave energy harvester is designed•Two gear trains help to improve the working efficiency of the system•The maximum hybrid output power of 17.56 mW was obtained from SOR-SSS at 0.4 Hz•Sustainable environmental monitoring was proposed for SOR-SSS based on LSTM models Electrochemistry; Electrochemical energy production; Engineering.