0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessRoadbed tribological energy (RTE) is a promising recoverable resource with an estimated potential on the terawatt scale, generated annually by the interaction between tires and road surfaces. However, RTE remains underutilized due to the lack of effective energy harvesting technologies that can address its high-entropy characteristics. Here, we present a revolutionary harvester formed by a freestanding layer triboelectric nanogenerator array embedded in the road. The harvester effectively converts low-grade vibratory RTE into electrical energy. It demonstrates the potential to achieve a peak power of 16.409 milliwatts and an average power of 2.2 milliwatts from a compact 78–square centimeter road area under a single tire impact, with a triboelectric conversion efficiency of 11.723%. In addition, we developed a self-powered intelligent and connected transportation system (SP-ICTS), integrating a five-in-one harvesting array. Experimental findings show that the system can meet the SP-ICTS’s electricity requirements along a 1-kilometer segment with a 50-meter harvester.
P M F M R Ji, Jing Wen, Xiaobo Gao, Hao Li, Huisheng Cai, Kai Lv, Zhong Lin Wang, Baodong Chen (2025). Roadbed tribological energy harvester. , 11(25), DOI: https://doi.org/10.1126/sciadv.adv9379.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2025
Authors
8
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1126/sciadv.adv9379
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access