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首页> 外文期刊>Advanced Functional Materials >Whirl ing-Folded Triboelectric Nanogenerator with High Average Power for Water Wave Energy Harvesting
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Whirl ing-Folded Triboelectric Nanogenerator with High Average Power for Water Wave Energy Harvesting

机译：具有高平均功率的旋折式摩擦电纳米发电机，用于水波能量收集

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摘要

Ocean wave energy, as one of the most abundant resources on the earth, is a promising energy source for large-scale applications. Triboelectric nanogenerators (TENGs) provide a new strategy for water wave energy harvesting; however, its average performance in realistic water wave conditions is still not high. In this work, a whirling-folded TENG (WF-TENG) with maximized space utilization and minimized electrostatic shielding is constructed by 3D printing and printed circuit board technologies. The flexible vortex structure responds easily to multiform wave excitation with improved oscillation frequency. A standard water wave tank is established to generate controllable water waves to characterize the device performance. It is found to be determined by wave conditions and internal structure, which is also revealed by a theoretical dynamical analysis. The WF-TENG can produce a maximum peak power of 6.5 mW and average power of 0.28 mW, which can power a digital thermometer to operate constantly and realize self-powered monitoring on the TENG network to prevent possible damage in severe environments. Moreover, a self-charge-supplement WF-TENG network is proposed to improve the output performance and stability. This study provides an effective strategy for improving the average power and characterizing the performance of spherical TENG towards large-scale blue energy.
机译：海浪能源是地球上最丰富的资源之一，是一种有望用于大规模应用的能源。摩擦电纳米发电机（TENGs）为水波能量的收集提供了新的策略。但是，它在实际水浪条件下的平均性能仍然不高。在这项工作中，通过3D打印和印刷电路板技术构建了具有最大空间利用率和最小化静电屏蔽的旋转折叠TENG（WF-TENG）。柔性涡旋结构易于响应多种形式的波激励，并具有改善的振荡频率。建立了标准的水波箱以生成可控的水波，以表征设备性能。发现它是由波浪条件和内部结构决定的，这也可以通过理论动力分析来揭示。 WF-TENG的最大峰值功率为6.5 mW，平均功率为0.28 mW，可为数字温度计供电以使其持续运行并在TENG网络上实现自供电监控，以防止在恶劣环境下可能造成的损坏。此外，提出了一种可自我补充的WF-TENG网络，以提高输出性能和稳定性。这项研究为提高平均功率和表征球形TENG对大规模蓝色能量的性能提供了有效的策略。

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