It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
In light of the crucial role of marine ecosystems and the escalating environmental conservation challenges, it is essential to conduct marine monitoring to help implement targeted environmental protection measures efficiently. Energy harvesting technologies, particularly triboelectric nanogenerators (TENGs), have great potential for prolonging the lifespan and enhancing the reliability of sensors in remote areas. However, the high internal resistance, low current, and friction-induced abrasion issues of TENGs limit their performance in practical applications. This work presents a rolling mode triboelectric nanogenerator that utilizes multi-tunnel grating electrodes and the opposite-charge-enhancement mechanism to harvest wave energy efficiently. The device achieves significant instantaneous and root mean square power density of 185.4 W/(m3·Hz) and 10.92 W/(m3·Hz), respectively. By utilizing stacked devices and an exclusively designed power management module, a self-powered ocean sensing system including computing and long-range wireless communication (0.8 km) capabilities was developed. Laboratory and in-situ ocean tests were conducted to assess and validate the system. This work offers a potential solution for the challenging deployment of marine self-powered sensing nodes.
Limited current output hinders triboelectric nanogenerators for maritime applications. Authors design a rolling-mode TENG with multi-tunnel grating electrodes, achieving 185.4 W/(m3·Hz) power density. They demonstrate a self-powered ocean sensing system for water quality monitoring and wireless communication.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details


1 The Hong Kong University of Science and Technology (Guangzhou), Thrust of Internet of Things, Guangzhou, China (GRID:grid.24515.37) (ISNI:0000 0004 1937 1450); Marine Engineering College, Dalian Maritime University, State Key Laboratory of Maritime Technology and Safety, Dalian, China (GRID:grid.440686.8) (ISNI:0000 0001 0543 8253)
2 Marine Engineering College, Dalian Maritime University, State Key Laboratory of Maritime Technology and Safety, Dalian, China (GRID:grid.440686.8) (ISNI:0000 0001 0543 8253)
3 Xidian University, Guangzhou Institute of Technology, Guangzhou, China (GRID:grid.440736.2) (ISNI:0000 0001 0707 115X)
4 The Hong Kong University of Science and Technology (Guangzhou), Thrust of Internet of Things, Guangzhou, China (GRID:grid.24515.37) (ISNI:0000 0004 1937 1450)