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A self-powered and self-monitoring ultra-low frequency wave energy harvester for smart ocean ranches.
Peng, Yang; Tang, Hongjie; Pan, Hongye; Zhang, Zutao; Luo, Dabing; Tang, Minfeng; Kong, Weihua; Li, Yingjie; Liu, Genshuo; Hu, Yongli.
Afiliação
  • Peng Y; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P.R. China.
  • Tang H; Yibin Research Institute, Southwest Jiaotong University, Yibin 644000, P.R. China.
  • Pan H; School of Information Science and Technology, Chengdu 610031, P.R. China.
  • Zhang Z; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P.R. China.
  • Luo D; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P.R. China.
  • Tang M; Chengdu Technological University, Chengdu 611730, China.
  • Kong W; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P.R. China.
  • Li Y; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P.R. China.
  • Liu G; Yibin Research Institute, Southwest Jiaotong University, Yibin 644000, P.R. China.
  • Hu Y; School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, P.R. China.
iScience ; 27(9): 110665, 2024 Sep 20.
Article em En | MEDLINE | ID: mdl-39262783
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IScience Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos