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Triboelectric Nanogenerators as Sensing for Smart Home

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Handbook of Triboelectric Nanogenerators

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Abstract

Smart home is one of the important components of future intelligent living systems, which involves automatic controlling, Internet of Things, artificial intelligences, and other technologies. So far, the development of smart homes has gone through several stages from the initial electrical age, to telephone communication, to the Internet, to the current Internet of things, and to future full artificial intelligence, mainly to maximize the personalized needs of home users. In order to realize the continuous, stable, and reliable operation of the smart home system, a new type of power supply and interactive intelligent sensor networks are needed. Considering that, traditional sensors require frequent charging, which is not conducive to long-term use and environmental protection, a sustainable and maintenance-free sensing strategy is also required. As a newly developed energy harvesting technology, triboelectric nanogenerator (TENG) can power numerous low-power wearable electronics by converting mechanical energy into electrical energy through the coupling effect of contact electrification and electrostatic induction. In addition, it can also directly convert mechanical stimuli into electrical signals to operate as self-powered sensors. Herein, the 10 aspects of TENG in smart home are mainly introduced, including smart roof, smart floor, smart bed, smart carpet, smart toilet, smart lock, smart pillow, smart disinfection system, smart footwear system, and smart greenhouse system. It demonstrates the wide application of TENG as self-powered sensors in smart home, which can flexibly sense pressure, tactile, and other signals; collect user information and analyze them; and has great potential in home medical care, security protection, and accident warning. Smart home allows users to have greater inclusiveness and control over their living environment, and multiple forms of intelligent operating terminals give users more room for choice. In the future, smart home will tend to be more intelligent and life-like, and it needs to use machine-learning technology to design smart home system with evolutionary function and autonomous control, and provide housekeeping type service to users.

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Acknowledgments

The authors are grateful for the support received from National Natural Science Foundation of China (Grant No. 22109012), Natural Science Foundation of the Beijing Municipality (Grant No. 2212052), and the Fundamental Research Funds for the Central Universities (Grant No. E1E46805).

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Authors and Affiliations

  1. Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China

    Kai Dong

  2. School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing, China

    Kai Dong

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  1. Kai Dong
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Correspondence to Kai Dong .

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Editors and Affiliations

  1. Beijing Inst of Nanoenergy &Nanosystems, Chinese Academy of Sciences, Beijing, China

    Zhong Lin Wang

  2. Beijing Inst of Nanoenergy & Nanosystems, Chinese Academy of Sciences, Beijing, China

    Ya Yang

  3. Beijing Inst of Nanoenergy & Nanosystems, University of Chinese Academy of Sc, Beijing, China

    Junyi Zhai

  4. Beijing Inst of Nanoenergy & Nanosystems, Chinese Academy of Medical Sciences, Beijing, China

    Jie Wang

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  1. Director and Chief Scientist, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China

    Zhong Lin Wang

  2. Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China

    Jie Wang

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Dong, K. (2023). Triboelectric Nanogenerators as Sensing for Smart Home. In: Wang, Z.L., Yang, Y., Zhai, J., Wang, J. (eds) Handbook of Triboelectric Nanogenerators. Springer, Cham. https://doi.org/10.1007/978-3-031-05722-9_45-1

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