Smart City Gnosys
Smart city article details
| Title | Strong And Flame-Retardant Wood-Based Triboelectric Nanogenerators Toward Self-Powered Building Fire Protection |
|---|---|
| ID_Doc | 53241 |
| Authors | Luo J.; Shi X.; Chen P.; Han K.; Li X.; Cao X.; Wang Z.L. |
| Year | 2022 |
| Published | Materials Today Physics, 27 |
| DOI | http://dx.doi.org/10.1016/j.mtphys.2022.100798 |
| Abstract | In the new era of industry 4.0, improving the energy efficiency and safety is of vital importance for the construction of intelligent building. Here, we report a strong and flame-retardant wood-based triboelectric nanogenerator (FW-TENG) for self-powered building fire protection. Based on a three-step method involving delignification, infiltration with bentonite nanosheets, followed by hot-pressing, the mechanical strength and flame retardancy can be greatly improved. Compared to the natural wood, the flame-retardant wood exhibits a 7.7-fold enhancement in strength, 32% reduction in peak heat release rate, as well as self-extinguishing property. The resulting FW-TENG is further used to develop the self-powered intelligent wireless fire monitoring and escape route guidance system for fire rescue and evacuation. This work extends the application area of self-powered systems to building fire protection, and may greatly promote the development of intelligent buildings and smart cities. © 2022 |
| Author Keywords | Flame-retardant; Intelligent buildings; Self-powered systems; Triboelectric nanogenerators; Wood |
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