梅媛媛,俞欣然,李玉星,等. 纳米多孔介质中甲烷吸附-水合储运技术研究进展[J]. 油气储运,2025,x(x):1−13.
引用本文: 梅媛媛,俞欣然,李玉星,等. 纳米多孔介质中甲烷吸附-水合储运技术研究进展[J]. 油气储运,2025,x(x):1−13.
MEI Yuanyuan, YU Xinran, LI Yuxing, et al. A review of research on methane storage and transportation via adsorption-hydration synergy in nanoporous media[J]. Oil & Gas Storage and Transportation, 2025, x(x): 1−13.
Citation: MEI Yuanyuan, YU Xinran, LI Yuxing, et al. A review of research on methane storage and transportation via adsorption-hydration synergy in nanoporous media[J]. Oil & Gas Storage and Transportation, 2025, x(x): 1−13.

纳米多孔介质中甲烷吸附-水合储运技术研究进展

A review of research on methane storage and transportation via adsorption-hydration synergy in nanoporous media

  • 摘要:
    目的 在“双碳”目标背景下,小规模天然气的高效储运至关重要。吸附-水合储运技术具有储存条件温和、安全可靠等优势并展现出广阔的应用前景。
    方法 以综合吸附储运技术与水合物储运技术两者优势的纳米多孔介质中吸附-水合储运方法为研究对象,通过调研大量相关文献,系统梳理了纳米孔隙内甲烷水合物生成机制、水合物生成动力学模型及纳米多孔介质中吸附-水合耦合作用控制机制等方面的研究进展。
    结果 在纳米孔隙内甲烷水合物生成机制方面,多孔介质特性如孔径、表面基团以及亲疏水特性对水合物形成的影响较为显著,纳米限域效应下的吸附-水合耦合作用起关键作用,但孔壁作用力对甲烷分子吸附与扩散的作用规律仍不明晰;水合物生成动力学模型虽已有诸多成果,但纳米限域效应影响下的模型尚待完善,需耦合流体传热传质及气体吸附等多个微观作用模型,构建不同条件下水合物生成速率的普适性预测模型;吸附-水合耦合作用控制机制研究表明含水量、吸附材料表面性质、温度、压力、孔径以及粒径等因素均对甲烷储存密度、水合物生长速度产生重要影响,其中含水量与吸附材料表面性质共同决定预吸附水的分布形态,进而影响吸附-水合过程,但目前缺乏综合分析和优化这些关键因素耦合作用的技术手段。
    结论 吸附-水合储运技术虽具潜力,但仍面临诸多挑战。未来研究应重点突破纳米限域效应机制研究瓶颈,构建完善的动力学模型,开发综合优化技术,推动其工业化应用,为实现“双碳”目标提供有力的技术支撑,促进能源领域的可持续发展。

     

    Abstract:
    Objective Given the crucial role of efficient small-scale storage and transportation of natural gas in achieving the “dual carbon” goals, the utilization of adsorption-hydration synergy for storage and transportation offers several advantages, including mild storage conditions, high safety, and strong reliability, indicating significant potential for broad applications.
    Methods This paper focuses on the adsorption-hydration approach, which harnesses the advantages of both adsorption and hydration methods for methane storage and transportation in nanoporous media. By examining a substantial body of relevant literature, the paper provides a systematic review of research progress across multiple aspects, including the formation mechanisms of methane hydrates in nanopores, the dynamic models of hydrate formation, and the control mechanisms of adsorption-hydration coupling in nanoporous media.
    Results Regarding the formation mechanism of methane hydrates in nanopores, significant impacts arise from the characteristics of porous media, including pore sizes, surface groups, and their hydrophilic and hydrophobic properties. The adsorption-hydration coupling under the nano-confinement effect plays a crucial role in this process. However, the influence pattern of forces exerted by the pore walls on the adsorption and diffusion of methane molecules remains unclear. Although numerous studies have established dynamic models to represent hydrate formation, these models do not adequately account for the nano-confinement effect. It is recommended to develop a universal prediction model that simulates hydrate formation rates under various conditions by coupling multiple models that address microcosmic effects, such as fluid heat and mass transfer, as well as gas adsorption. Research on the control mechanisms of adsorption-hydration coupling indicates that factors such as water content, surface properties of adsorbent materials, temperature, pressure, pore size, and particle size are closely linked to methane storage density and hydrate growth rates. Notably, water content and the surface properties of adsorbent materials jointly determine the distribution pattern of pre-adsorbed water, which subsequently influences the adsorption-hydration process. Currently, however, there is a lack of technical means to comprehensively analyze and optimize the coupling among these key factors.
    Conclusion Although storage and transportation technology via adsorption-hydration synergy demonstrates significant application potential, several challenges continue to impede its research and development. Future research should focus on overcoming the bottlenecks encountered in elucidating the nano-confinement effect mechanism to enhance dynamic models and develop comprehensive optimization technologies. This approach will facilitate industrial applications, providing robust technical support for achieving the “carbon peaking and carbon neutrality” goals while advancing sustainable development in the energy sector.

     

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