Recent Progress in Hybridized Nanogenerators for Energy Scavenging
Overview
Affiliations
As the world's demand for alternative energy increases, the development of green energy harvesters becomes ever more important. As a result, the creation of triboelectric (TENG), piezoelectric (PENG), and pyroelectric nanogenerators, electromagnetic generators (EMG), solar cells, and electrochemical cells is attracting interest in an effort to convert mechanical, thermal, magnetic, solar, and chemical energy into electricity. In order to take advantage of the ambient energies from our surrounding environment, the design of hybridized generator units that can simultaneously scavenge energy in a variety of forms continues to develop. These systems are being considered to satisfy the energy needs of a range of electronic devices and adapt to a variety of working environments. This review demonstrates the latest progress in hybridized nanogenerators in accordance with their structure, operating principle, and applications. These studies demonstrate new approaches to developing hybrid techniques and novel assemblies for efficiently harvesting environmental energy from a number of sources.
Triboelectric Nanogenerators for Self-Powered Degradation of Chemical Pollutants.
Uddin M, Dip T, Tushar S, Sayam A, Anik H, Aktar Arin M ACS Omega. 2025; 10(1):26-54.
PMID: 39829514 PMC: 11740385. DOI: 10.1021/acsomega.4c07889.
Sustainable and smart rail transit based on advanced self-powered sensing technology.
Tang H, Kong L, Fang Z, Zhang Z, Zhou J, Chen H iScience. 2024; 27(12):111306.
PMID: 39628585 PMC: 11612783. DOI: 10.1016/j.isci.2024.111306.
A Triboelectric-Based Artificial Whisker for Reactive Obstacle Avoidance and Local Mapping.
Xu P, Wang X, Wang S, Chen T, Liu J, Zheng J Research (Wash D C). 2024; 2021:9864967.
PMID: 38617376 PMC: 11014677. DOI: 10.34133/2021/9864967.
Avetissian T, Formosa F, Badel A, Delnavaz A, Voix J Micromachines (Basel). 2024; 15(3).
PMID: 38542662 PMC: 10972077. DOI: 10.3390/mi15030415.
Zhao Z, Mi Y, Lu Y, Zhu Q, Cao X, Wang N Biosensors (Basel). 2023; 13(6).
PMID: 37366969 PMC: 10295964. DOI: 10.3390/bios13060604.