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Hybrid Triboelectric‐Electromagnetic‐Piezoelectric Wind Energy Harvester toward Wide‐Scale IoT Self‐Powered Sensing

Shuo Tian, Lixiang Lai, Jianpeng Xin, Zongtao Qu, Bin Li, Yejing Dai

2023Small14 citationsDOIOpen Access PDF

Abstract

Abstract Wind energy is the most promising alternative to fossil fuels as a clean, nonpolluting, and renewable source of energy. However, how to achieve stable and efficient harvesting of wind energy has been a major challenge. Here, a triboelectric‐electromagnetic‐piezoelectric hybrid wind energy harvester (TEP‐WEH) based on the cantilever is proposed. The TEP‐WEH achieves a power density of 62.79 mW (m 3 rpm) −1 at a 3 m s −1 wind speed, attributable to a rational and optimized structural design. In addition, owing to the soft contact strategy of the TENG module, the TEP‐WEH provides excellent durability and drivability. The harvester is demonstrated to successfully and continuously light a commercial lighting bulb rated at 5 W and provide an energy supply for self‐powered sensing. This work provides an efficient solution for wind energy harvesting and wide‐scale self‐powered IoT sensing.

Topics & Concepts

Triboelectric effectWind powerEnergy harvestingRenewable energyNanogeneratorMaterials scienceMechanical energyElectrical engineeringElectricity generationAutomotive engineeringCantileverEnvironmental sciencePower (physics)PiezoelectricityMarine engineeringEngineeringPhysicsComposite materialQuantum mechanicsAdvanced Sensor and Energy Harvesting MaterialsInnovative Energy Harvesting TechnologiesTactile and Sensory Interactions