Smart City Gnosys

Smart city article details

Title Applications Of Triboelectric Nanogenerator In Digital Twin Technology
ID_Doc 10116
Authors Zhang J.; Wang J.
Year 2024
Published Handbook of Digital Twins
DOI http://dx.doi.org/10.1201/9781003425724-57
Abstract With the development of 5G technology and the increase in computing power, the era of the Internet of Things (IoT) is coming. The digital twins, analyzing massive sensor data with the help of artificial intelligence (AI) algorithms and software architectures, serve as a bridge between the physical and the virtual worlds, benefitting for optimizing production processes, improving conversion efficiency, reducing failure rates, shortening development cycles, and opening up new business opportunities. To build digital twins from the physical world, the first and crucial step is collecting the information of the physical entities. Digital twin–based system requires various sensors to detect the changes on the physical targets. Although there are numerous widely used sensors, including strain gauges, cameras, ultrasonic distance sensors, etc., the huge energy consumption and power matching issues in sensor networks are still an urgent problem to be solved. Triboelectric nanogenerators (TENGs) that convert the changes in the physical world into electrical signals act as self-powered sensors. This kind of sensors, performing as a solution of battery replacement, helps to realize low energy consuming and sustainable digital twin system contribute a lot in smart manufacturing, smart city, smart transportation, smart health, and other relative fields. Herein, this chapter introduces the mechanism of common TENGs, the diverse scenarios of TENGs in digital twin applications. Besides, the future application potential of TENGs in digital twin is also discussed here. © 2024 selection and editorial matter, Zhihan Lyu; individual chapters, the contributors.
Author Keywords


Similar Articles


Id Similarity Authors Title Published
6626 View0.926Sreejith S.; Ajayan J.; Reddy N.V.U.; Mathew J.K.; Manikandan M.Advances In Self-Powered Sensing With Triboelectric Nanogenerators: A ReviewSensing and Imaging, 26, 1 (2025)
38518 View0.924Cao X.; Xiong Y.; Sun J.; Xie X.; Sun Q.; Wang Z.L.Multidiscipline Applications Of Triboelectric Nanogenerators For The Intelligent Era Of Internet Of ThingsNano-Micro Letters, 15, 1 (2023)
59012 View0.917Cheng T.Triboelectric Nanogenerator As Sensing For Smart CityHandbook of Triboelectric Nanogenerators (2023)
59014 View0.916Zi Y.; Guo H.; Wang J.; Zhang C.; Chen X.; Zhao Q.Triboelectric Nanogenerators: Technology, Applications, And CommercializationTriboelectric Nanogenerators: Technology, Applications and Commercialization (2025)
59013 View0.915Rubab N.; Kim S.-W.Triboelectric Nanogenerators For Self-Powered SensorsJournal of Sensor Science and Technology, 31, 2 (2022)
6501 View0.908Tang Y.; Fu H.; Xu B.Advanced Design Of Triboelectric Nanogenerators For Future Eco-Smart CitiesAdvanced Composites and Hybrid Materials, 7, 3 (2024)
6630 View0.903Jiang M.; Lu Y.; Zhu Z.; Jia W.Advances In Smart Sensing And Medical Electronics By Self-Powered Sensors Based On Triboelectric NanogeneratorsMicromachines, 12, 6 (2021)
31911 View0.898Ahmed A.; Hassan I.; El-Kady M.F.; Radhi A.; Jeong C.K.; Selvaganapathy P.R.; Zu J.; Ren S.; Wang Q.; Kaner R.B.Integrated Triboelectric Nanogenerators In The Era Of The Internet Of ThingsAdvanced Science, 6, 24 (2019)
7422 View0.889Wang C.; Guo H.; Wang P.; Li J.; Sun Y.; Zhang D.An Advanced Strategy To Enhance Teng Output: Reducing Triboelectric Charge DecayAdvanced Materials, 35, 17 (2023)
44184 View0.882Wu Y.; Zhang C.; Chen J.; Zhou H.; Zhang C.; Chen J.; Chang S.; Xia L.; Jiang J.; Dong K.; Xuan W.; Zhao P.; Dong S.; Luo J.Rational Design And Optimization Of Self-Powered Instantaneous Dual-Parameter Triboelectric SensorSensors and Actuators A: Physical, 366 (2024)