Swing‐Structured Triboelectric–Electromagnetic Hybridized Nanogenerator for Breeze Wind Energy Harvesting

Wind energy is one of the most promising renewable energy sources, but harvesting low frequency breeze wind energy is hardly achieved using traditional electromagnetic generators (EMGs). Triboelectric nanogenerators (TENGs) provide a new approach for large‐scale collection of distributed breeze wind energy (usually 3.4–5.4 m s−1). Herein, by coupling the TENG and EMG, a swing‐structured hybrid nanogenerator with improved performance and durability is designed. The dielectric brush and air gap designs can minimize the material wear and continuously supply the tribo‐charges. Under external triggering, systematic comparisons are made about the output characteristics of TENG and EMG. The rectified peak power and average power of TENG are respectively, 60 and 635 times higher than those of EMG at moderate coil turn numbers, showing that TENG is much more effective than EMG for harvesting low‐frequency distributed energy (high entropy energy). Furthermore, the hybrid nanogenerator and array device are hung on tree branches to demonstrate the effective harvesting of breeze wind energy, delivering total rectified peak power densities of 2.07 and 1.94 W m–3 for single and array devices, respectively. The applications of powering portable electronics reveal the huge prospects of hybrid nanogenerator in self‐powered environmental monitoring toward forest/park fire warning systems.

[1]  Zhong Lin Wang,et al.  A Triboelectric–Electromagnetic Hybrid Nanogenerator with Broadband Working Range for Wind Energy Harvesting and a Self-Powered Wind Speed Sensor , 2021, ACS Energy Letters.

[2]  Chengkuo Lee,et al.  A high-performance triboelectric-electromagnetic hybrid wind energy harvester based on rotational tapered rollers aiming at outdoor IoT applications , 2021, iScience.

[3]  Zhong Lin Wang,et al.  Soft-contact cylindrical triboelectric-electromagnetic hybrid nanogenerator based on swing structure for ultra-low frequency water wave energy harvesting , 2021 .

[4]  Chenguo Hu,et al.  An Ultra-Durable Windmill-Like Hybrid Nanogenerator for Steady and Efficient Harvesting of Low-Speed Wind Energy , 2020, Nano-micro letters.

[5]  Yu Song,et al.  A flexible hybridized electromagnetic-triboelectric nanogenerator and its application for 3D trajectory sensing , 2020 .

[6]  Zhong Lin Wang,et al.  A self-powered and self-functional tracking system based on triboelectric-electromagnetic hybridized blue energy harvesting module , 2020 .

[7]  Q. Han,et al.  Hybrid triboelectric-electromagnetic generator for self-powered wind speed and direction detection , 2020 .

[8]  Zhong Lin Wang,et al.  Robust Triboelectric Nanogenerator Achieved by Centrifugal Force Induced Automatic Working Mode Transition , 2020, Advanced Energy Materials.

[9]  Zhong Lin Wang,et al.  Robust Swing‐Structured Triboelectric Nanogenerator for Efficient Blue Energy Harvesting , 2020, Advanced Energy Materials.

[10]  Zhong Lin Wang,et al.  Cylindrical triboelectric nanogenerator based on swing structure for efficient harvesting of ultra-low-frequency water wave energy , 2020, Applied Physics Reviews.

[11]  Chenguo Hu,et al.  A high-efficient breeze energy harvester utilizing a full-packaged triboelectric nanogenerator based on flow-induced vibration , 2020 .

[12]  Zhong Lin Wang Triboelectric Nanogenerator (TENG)—Sparking an Energy and Sensor Revolution , 2020, Advanced Energy Materials.

[13]  Xiujian Chou,et al.  Triboelectric-electromagnetic hybrid nanogenerator driven by wind for self-powered wireless transmission in Internet of Things and self-powered wind speed sensor , 2020, Nano Energy.

[14]  Sang‐Jae Kim,et al.  Fe2O3 magnetic particles derived triboelectric-electromagnetic hybrid generator for zero-power consuming seismic detection , 2019, Nano Energy.

[15]  Zhiyi Wu,et al.  Super-robust and frequency-multiplied triboelectric nanogenerator for efficient harvesting water and wind energy , 2019, Nano Energy.

[16]  Zhong Lin Wang,et al.  Remarkable merits of triboelectric nanogenerator than electromagnetic generator for harvesting small-amplitude mechanical energy , 2019, Nano Energy.

[17]  Zhong Lin Wang Entropy theory of distributed energy for internet of things , 2019, Nano Energy.

[18]  Hengyu Guo,et al.  Triboelectric Nanogenerator: A Foundation of the Energy for the New Era , 2018, Advanced Energy Materials.

[19]  ειδικούς στόχους,et al.  (2016) , 2018 .

[20]  Bo Chen,et al.  Scavenging Wind Energy by Triboelectric Nanogenerators , 2018 .

[21]  Tao Jiang,et al.  Toward the blue energy dream by triboelectric nanogenerator networks , 2017 .

[22]  Zhong Lin Wang On Maxwell's displacement current for energy and sensors: the origin of nanogenerators , 2017 .

[23]  Suyun Hu,et al.  Control of tectonic differentiation on the formation of large oil and gas fields in craton basins: A case study of Sinian–Triassic of the Sichuan Basin , 2017 .

[24]  Jacques Parent du Châtelet,et al.  Comparison Between Radar and Automatic Weather Station Refractivity Variability , 2016, Boundary-Layer Meteorology.

[25]  H. Yoo,et al.  Comparison between Total Cloud Cover in Four Reanalysis Products and Cloud Measured by Visual Observations at U.S. Weather Stations , 2016 .

[26]  Xue Wang,et al.  Hybridized Electromagnetic-Triboelectric Nanogenerator for a Self-Powered Electronic Watch. , 2015, ACS nano.

[27]  Fengru Fan,et al.  Theoretical Comparison, Equivalent Transformation, and Conjunction Operations of Electromagnetic Induction Generator and Triboelectric Nanogenerator for Harvesting Mechanical Energy , 2014, Advanced materials.

[28]  Zhong Lin Wang,et al.  Flexible triboelectric generator , 2012 .

[29]  S. Beeby,et al.  Energy harvesting vibration sources for microsystems applications , 2006 .

[30]  Patrick Devine-Wright,et al.  Beyond NIMBYism: towards an integrated framework for understanding public perceptions of wind energy , 2005 .

[31]  Magdy M. A. Salama,et al.  Distributed generation technologies, definitions and benefits , 2004 .

[32]  J. Painuly Barriers to renewable energy penetration; a framework for analysis , 2001 .