AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices DOI Creative Commons

Aiswarya Baburaj,

Syamini Jayadevan,

Akshaya Kumar Aliyana

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

Abstract Triboelectric nanogenerators (TENGs) are emerging as transformative technologies for sustainable energy harvesting and precision sensing, offering eco‐friendly power generation from mechanical motion. They harness while enabling self‐sustaining sensing self‐powered devices. However, challenges such material optimization, fabrication techniques, design strategies, output stability must be addressed to fully realize their practical potential. Artificial intelligence (AI), with its capabilities in advanced data analysis, pattern recognition, adaptive responses, is revolutionizing fields like healthcare, industrial automation, smart infrastructure. When integrated TENGs, AI can overcome current limitations by enhancing output, stability, adaptability. This review explores the synergistic potential of AI‐driven TENG systems, optimizing materials embedding machine learning deep algorithms intelligent real‐time sensing. These advancements enable improved harvesting, predictive maintenance, dynamic performance making TENGs more across industries. The also identifies key future research directions, including development low‐power algorithms, materials, hybrid robust security protocols AI‐enhanced solutions.

Language: Английский

Adaptive Ultra‐Low Resilience Woven Triboelectric Nanogenerators for High‐Performance Wearable Energy Harvesting and Motion Sensing DOI Open Access
Mei Yi So, Bingang Xu

Small, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

As electronic devices become increasingly compact and functional, the demand for renewable energy sources self-powered systems has risen dramatically. Triboelectric nanogenerators (TENGs) provide a sustainable solution, converting mechanical into electrical energy. This study introduces an advanced woven double-cloth triboelectric nanogenerator (WDC-TENG) harvesting sensing applications. Composed of BaTiO₃-doped polydimethylsiloxane (PDMS) copper-nickel alloy fabric (CNF), WDC-TENG features structure that minimizes deformation during contact-separation process, making it ideal applications such as insoles. Its modular design allows each weft yarn to function independent energy-generating unit, which can operate individually or in combination, significantly enhancing flexibility scalability. The achieves high-power density 15 W m2, generating current output 0.7 mA. Furthermore, its ensures excellent durability, enabling long-term wearing. Beyond harvesting, exhibits multifunctionality reliably powering microelectronic insole, while carpets, not only harvests from foot but also acts sensor real-time wireless monitoring pedestrian walking paths. WDC-TENG's low deformation, versatility position promising solution advancing wearable technology intelligent environments.

Language: Английский

Citations

0
Bubble energy nanogenerators DOI
S. Esra Bolsu Kariper, İshak Afşin Kari̇per, Goncagül Serdaroğlu

et al.

Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 61(4)

Published: March 29, 2025

Citations

0
High Foot Traffic Power Harvesting Technologies and Challenges: A Review and Possible Sustainable Solutions for Al-Haram Mosque DOI Creative Commons

Fatimah Alotibi,

Muhammad Khan

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(8), P. 4247 - 4247

Published: April 11, 2025

The growing global demand for sustainable energy solutions has led to increased interest in kinetic harvesting as a viable alternative traditional power sources. High-foot-traffic environments, such public spaces and religious sites, generate significant mechanical that often remains untapped. This study explores energy-harvesting technologies applicable areas with heavy foot traffic, focusing on Al-Haram Mosque Saudi Arabia—one of the most densely populated sites world. research investigates potential piezoelectric, triboelectric, hybrid systems convert pedestrian traffic into electrical energy, addressing challenges efficiency, durability, scalability, integration existing infrastructure. Piezoelectric materials, including PVDF BaTiO3, effectively stress from footsteps electricity, while triboelectric nanogenerators (TENGs) utilize contact electrification lightweight, flexible capture. In addition, this examines material innovations 3D-printed biomimetic structures, MXene-based composites (MXene is two-dimensional made transition metal carbides, nitrides, carbonitrides), improve longevity scalability high-density footfall environments. Proposed applications include mats embedded piezoelectric elements IoT devices, LED lighting, environmental sensors. While remain degradation, cost, emerging advanced present promising pathway toward sustainable, self-powered infrastructure large-scale, high-foot-traffic settings. These findings offer transformative approach sustainability, reducing reliance sources contributing Arabia’s Vision 2030 renewable adoption.

Language: Английский

Citations

0
Research on the rigid preparation method of flexible micro coils for flexible self powered electrical devices using laser cutting technology DOI

Wencheng Li,

Huifang Liu, Yufei Lu

et al.

Optics & Laser Technology, Journal Year: 2025, Volume and Issue: 188, P. 112991 - 112991

Published: April 18, 2025

Language: Английский

Citations

0
AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices DOI Creative Commons

Aiswarya Baburaj,

Syamini Jayadevan,

Akshaya Kumar Aliyana

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

Abstract Triboelectric nanogenerators (TENGs) are emerging as transformative technologies for sustainable energy harvesting and precision sensing, offering eco‐friendly power generation from mechanical motion. They harness while enabling self‐sustaining sensing self‐powered devices. However, challenges such material optimization, fabrication techniques, design strategies, output stability must be addressed to fully realize their practical potential. Artificial intelligence (AI), with its capabilities in advanced data analysis, pattern recognition, adaptive responses, is revolutionizing fields like healthcare, industrial automation, smart infrastructure. When integrated TENGs, AI can overcome current limitations by enhancing output, stability, adaptability. This review explores the synergistic potential of AI‐driven TENG systems, optimizing materials embedding machine learning deep algorithms intelligent real‐time sensing. These advancements enable improved harvesting, predictive maintenance, dynamic performance making TENGs more across industries. The also identifies key future research directions, including development low‐power algorithms, materials, hybrid robust security protocols AI‐enhanced solutions.

Language: Английский

Citations

0