高等学校化学学报

高等学校化学学报

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碳基湿气发电器件的研究进展

李奇军,赵宏佳,刘龙涛,鹿春怡,谈静   

  1. 扬州大学
  • 收稿日期:2024-09-02 修回日期:2024-10-14 出版日期:2024-10-18 发布日期:2024-10-18
  • 通讯作者: 谈静 E-mail:tanjing0916@163.com
  • 基金资助:
    国家自然科学基金(批准号：52473281)、江苏省优秀青年基金(批准号：BK20231537)和中国博士后科学基金(批准号：2023M732973)资助

Research progress of carbon-based moisture power generation devices

LI Qijun, ZHAO Hongjia, LIU Longtao, LU Chunyi, TAN Jing   

  1. Yangzhou University
  • Received:2024-09-02 Revised:2024-10-14 Online:2024-10-18 Published:2024-10-18
  • Contact: Tan Jing E-mail:tanjing0916@163.com
  • Supported by:
    Supported by the National Natural Science Foundation of China(No. 52473281), the Natural Science Foundation of Jiangsu, China(No.BK20231537) and the China Postdoctoral Science Foundation(No.2023M732973)

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摘要： 湿气发电是近年来兴起一种新型的能源转化方式，它可以将大气环境湿气中的能量直接转化为电能，且不会衍生任何污染物及有害气体。得益于大气中无处不在水汽和清洁无污染的发电过程，这一发电技术适应性极宽，不受时间、地域、及环境等自然条件限制，因此“水汽发电”具有非常好的发展前景。本文回顾了湿气发电技术的演进历程，讨论了湿气与发电材料之间的相互作用机理，主要包括离子扩散和流动电势两个方面，并对新型碳基吸湿层材料的种类、特性及其优缺点进行了详细分析；综合叙述了湿气发电技术在最新应用领域的发展情况，最后，讨论了在其应用中所面临的挑战和障碍，展望了未来该领域的研究方向。

关键词: 水汽, 吸湿层, 电极, 湿气发电

Abstract: Moisture-enabled electricity generation (MEG), an emerging energy-harvesting technology, has attracted significant attention in recent years. Owing to the ubiquitous presence of water vapor and the pollution-free nature of the power generation process, MEG technology demonstrates strong adaptability, that is, it is not limited by natural conditions such as season, region and environment. This paper presents a comprehensive review of the evolution of MEG technology. It discusses the interaction mechanism between moisture and power generation materials, primarily focusing on ion diffusion and streaming potential. It also provides a detailed analysis of the types, characteristics, advantages and disadvantages of new carbon-based hygroscopic layer materials. Furthermore, it describes the development of moisture power generation technology in the latest application fields.

Key words: Water vapor, Hygroscopic layer, Electrode, Moisture power generation

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