TY - JOUR
T1 - Waste textiles as the versatile triboelectric energy-harvesting platform for self-powered applications in sports and athletics
AU - Sahu, Manisha
AU - Hajra, Sugato
AU - Panda, Swati
AU - Rajaitha, Mary
AU - Panigrahi, Basanta Kumar
AU - Rubahn, Horst Günter
AU - Mishra, Yogendra Kumar
AU - Kim, Hoe Joon
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/6/15
Y1 - 2022/6/15
N2 - The triboelectric nanogenerator (TENG) has emerged as a promising technology for the conversion of mechanical energy into electrical energy. There is widespread development in the field of the internet of things and wireless sensor networks to realize future portable and wearable electronic devices. Sports science is a big sector to explore self-powered sensors to reduce the usage of batteries and complicated conventional sensors. The TENG can be one of the best alternatives to realize energy harvesting, impact monitoring, and performance evaluation of athletes in the area of intelligent sports. This work presents a new design for TENG by collecting worn-out textiles from the waste bin to useful self-powered applications in intelligent sports for the first time. The circular economy of the worn-out textile can promote the eco-friendly concept of recycling, reuse, and reducing for various energy devices. The waste materials were evaluated by various techniques such as structural, morphology, and FT-IR. The single electrode mode TENG was fabricated using the various positive triboelectric textile layers and negative triboelectric textile layers. The new device structure of 4 fingers knitted TENG (F-TENG) was able to deliver a peak to peak voltage of 4.2 V and peak-to-peak current output of 2.7 nA by simple stretching and releasing. Further, the energy harvesting from various sports activities was collated such as dribbling the ball, running, and stretching exercises. The digital signal processing techniques such as wavelet transform and wavelet packet transform were introduced to shed light upon the usage of TENG-based sensing units in sports facilities such as self-powered punching power recognition and edge ball judgment system.
AB - The triboelectric nanogenerator (TENG) has emerged as a promising technology for the conversion of mechanical energy into electrical energy. There is widespread development in the field of the internet of things and wireless sensor networks to realize future portable and wearable electronic devices. Sports science is a big sector to explore self-powered sensors to reduce the usage of batteries and complicated conventional sensors. The TENG can be one of the best alternatives to realize energy harvesting, impact monitoring, and performance evaluation of athletes in the area of intelligent sports. This work presents a new design for TENG by collecting worn-out textiles from the waste bin to useful self-powered applications in intelligent sports for the first time. The circular economy of the worn-out textile can promote the eco-friendly concept of recycling, reuse, and reducing for various energy devices. The waste materials were evaluated by various techniques such as structural, morphology, and FT-IR. The single electrode mode TENG was fabricated using the various positive triboelectric textile layers and negative triboelectric textile layers. The new device structure of 4 fingers knitted TENG (F-TENG) was able to deliver a peak to peak voltage of 4.2 V and peak-to-peak current output of 2.7 nA by simple stretching and releasing. Further, the energy harvesting from various sports activities was collated such as dribbling the ball, running, and stretching exercises. The digital signal processing techniques such as wavelet transform and wavelet packet transform were introduced to shed light upon the usage of TENG-based sensing units in sports facilities such as self-powered punching power recognition and edge ball judgment system.
KW - Circular economy
KW - Self-powered device
KW - Sports sensors
KW - Triboelectric
KW - Waste to energy
UR - http://www.scopus.com/inward/record.url?scp=85127490284&partnerID=8YFLogxK
U2 - 10.1016/j.nanoen.2022.107208
DO - 10.1016/j.nanoen.2022.107208
M3 - Article
AN - SCOPUS:85127490284
SN - 2211-2855
VL - 97
JO - Nano Energy
JF - Nano Energy
M1 - 107208
ER -