Results 221 to 230 of about 30,528 (298)

A Low-Frequency MEMS Piezoelectric Energy Harvesting System Based on Frequency Up-Conversion Mechanism. [PDF]

Micromachines (Basel), 2019
Huang M, Hou C, Li Y, Liu H, Wang F, Chen T, Yang Z, Tang G, Sun L.   +8 more
europepmc   +1 more source

Ultra‐High Strength and Environmentally Stable Fluorinated Solid‐State Ion‐Conductive Elastomers with Folding‐Paper‐Structured Triboelectric Nanogenerators for Wave Energy Harvesting

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
In this work, a polyurethane‐based fluorinated SICEs with excellent mechanical properties (7.35 MPa and 61.4 MJ m−3), conductivity (4.2 × 10−4 S cm−1), and harsh environmental resistance were prepared by a “three birds with one stone” strategy that combines multiple interactions with fluorine effects. The paper‐folding TENG is capable of harvesting not
Zequan Li, Fangyan Ou, Wei Tang, Fuqi Wang, Zhichao Zhang, Ting Xie, Chuang Ning, Wenyu Pan, Wei Gao, Shuangliang Zhao   +9 more
wiley   +1 more source

Electrode Coverage Optimization for Piezoelectric Energy Harvesting from Tip Excitation. [PDF]

Sensors (Basel), 2018
Fu H, Chen G, Bai N.
europepmc   +1 more source

Thermal Field–Enhanced Electro‐, Photo‐, and Photoelectrocatalytic Processes: Fundamentals, Material Design, and Applications

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Overview of thermal field–enhanced electro‐, photo‐, and photoelectrocatalytic processes: fundamentals, material design, and applications. As a very attractive approach to energy conversion and storage, electrocatalytic, photocatalytic, and photoelectrocatalytic strategies have gained increasing attention in the past decades.
Ziyi Qiao, Lingyi Li, Bing He, Yunhai Zhu, Yihuang Chen, Yingkui Yang, Xueqin Liu   +6 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Piezoelectric energy harvesting in internal fluid flow. [PDF]

Sensors (Basel), 2015
Lee HJ, Sherrit S, Tosi LP, Walkemeyer P, Colonius T.   +4 more
europepmc   +1 more source

Piezoelectric Energy Harvesting From Flutter

, 2012
With the increasing need for alternative sources of energy, a great deal of attention is drawn to harvesting energy from ambient vibration. These vibrations may be caused by fluid forces acting upon a structure. When a flexible structure is subject to a fluid flow, it loses stability at a certain flow velocity and starts to vibrate.
openaire   +1 more source

Adaptive Hybrid Energy Harvester Integrating PV, TEG, and Piezoelectric Sources With Real‐Time Power Management and Experimental Validation

Energy Science &Engineering, EarlyView.
An adaptive hybrid energy harvester combining photovoltaic, thermoelectric, and piezoelectric sources is experimentally demonstrated. Real‐time power management dynamically allocates and conditions multisource inputs, achieving improved robustness and efficiency under variable environmental conditions compared with single‐source harvesting.
P. Ndy Von Kluge, G. G. Sengha, B. Doumia, Y. M. Samba   +3 more
wiley   +1 more source

Harnessing Piezoelectric Biomaterials for Pathogenic Eradication and Tissue Regeneration

Exploration, EarlyView.
This review highlights recent advances in piezoelectric biomaterials for antibacterial therapy and tissue regeneration, discussing material classifications, catalytic mechanisms, property enhancements, biomedical applications, and future challenges in clinical translation.
Wenxuan Mao, Xiaoye Li, Ao He, Meng Ding, Yu Zhang, Zhuo Dai, Qiang Li, Weijun Xiu, Yanling Hu, Yongbin Mou, Dongliang Yang, Heng Dong   +11 more
wiley   +1 more source

Wearable fabric electronics for sensing, memory and neuromorphic computing applications

FlexMat, EarlyView.
Overview of textile electronic devices for sensing, memory and neuromorphic computing applications. Abstract With the advent of the big data era, traditional Von Neumann architecture is facing an energy consumption bottleneck due to separated memory and computing units, inspiring the research of brain‐like neuromorphic computing devices for artificial ...
Bo Sun, Lin Lu, Jialin Meng, Tianyu Wang
wiley   +1 more source