Bimetallic nanoporous carbon-based direct-current triboelectric nanogenerators for biomechanical energy harvesting and sensingopen access
- Authors
- Rahman, Muhammad Toyabur; Kim, Young-Seong; Rahman, Md Sazzadur; Lim, Joong Yeon; Kim, Seonghwan
- Issue Date
- Sep-2025
- Publisher
- Elsevier B.V.
- Keywords
- Triboelectric nanogenerator; Direct current; Metal-organic framework; Biomechanical energy; Self-powered sensors
- Citation
- Chemical Engineering Journal, v.519, pp 1 - 11
- Pages
- 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- Chemical Engineering Journal
- Volume
- 519
- Start Page
- 1
- End Page
- 11
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/58634
- DOI
- 10.1016/j.cej.2025.164938
- ISSN
- 1385-8947
1873-3212
- Abstract
- A high-power density direct current triboelectric nanogenerator (DC-TENG) presents a promising solution for sustainable and distributed energy supply in the Industry 4.0 era. This study introduces a contact-separation mode DC-TENG that incorporates core-shell metal-organic framework-derived bimetallic nanoporous carbon (BNPC) as a functional nanofiller in the negative elastomer tribo-layer, significantly enhancing its performance. The BNPC's high surface area and porosity improve dielectric properties and charge trapping, while its bimetallic components suppress charge recombination through interfacial polarization effects. A Kapton-based mechanical rectifier is integrated to enable direct DC output, simplifying system design and enhancing energy utilization. The optimized BNPC@elastomer composite-based DC-TENG (BNDC-TENG) achieves a peak power density of 6.32 W/m2. The device demonstrates remarkable durability over 43,000 cycles and can directly charge capacitors and power small electronics. The BNDC-TENG efficiently harvests biomechanical energy from human motion and functions as a self-powered sensor for real-time activity monitoring, including walking and running detection. This work introduces innovative materials and simplified architecture for high-performance DC-TENGs, advancing sustainable energy harvesting and next-generation self-powered sensing applications.
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- Appears in
Collections - College of Engineering > Department of Mechanical, Robotics and Energy Engineering > 1. Journal Articles

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