2D Materials-Based Electrochemical Triboelectric Nanogenerators
Giuseppina Pace1,2, Antonio Esau Del Rio Castillo3, Alessio Lamperti1
1Institute for Microelectronics and Microsystems - National Research Council (IMM-CNR), Via C. Olivetti 2, Agrate, Milan, 20864, Italy.
Advanced Materials (Deerfield Beach, Fla.)
|March 30, 2023
Summary
Novel triboelectric nanogenerators (TENGs) utilize few-layer graphene electrodes and 2D transition metal dichalcogenide gel electrolytes. This enhances mechanical-to-electrical power conversion, achieving higher output and stability.
Area of Science:
- Materials Science
- Nanotechnology
- Energy Harvesting
Background:
- 2D materials enhance triboelectric nanogenerator (TENG) efficiency.
- They function as triboelectric materials, charge-trapping fillers, or electrodes.
- Few-layer graphene (FLG) and 2D transition metal dichalcogenides (TMDs) are promising materials.
Purpose of the Study:
- Develop novel TENGs using FLG electrodes and stable 2D TMD gel electrolytes.
- Investigate the role of gel composites and electrical double-layer capacitance (EDLC) in power enhancement.
- Explore strategies for improving TENG performance and stability.
Main Methods:
- Fabrication of TENGs with FLG electrodes and gel electrolytes (2D TMDs + polyvinyl alcohol).
- Characterization of TENG performance: open-circuit voltage, peak power, and stability.
- Analysis of the influence of gel functionalization and wet encapsulation on EDLC and power output.
Main Results:
- TENGs with FLG and gel composites achieved ≈ 300 V, 530 mW m-2 peak power, and > 11 months stability.
- A seven-fold increase in electrical output compared to bare FLG electrodes was observed.
- Enhanced performance was attributed to the high EDLC of FLG electrodes functionalized with gel composites.
Conclusions:
- Novel TENGs demonstrate significantly improved power conversion efficiency and stability.
- EDLC of functionalized electrodes is crucial for enhanced performance.
- This work paves the way for sustainable electrochemical-(e)-TENGs using capacitor strategies.
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