纳米增强相变材料和混合热能储存系统的进展:为可持续能源解决方案铺平道路

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY
D. Christopher Selvam , Yuvarajan Devarajan , N. Beemkumar , Deepak Bhanot , Saroj Kumar Acharya , Anu Sukhdev , Trapty Agrawal
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引用次数: 0

摘要

热能储存(TES)系统对于缓解与可再生能源相关的波动是不可或缺的,从而促进更可靠和有效的能源管理战略。然而,传统的TES系统受到导热性不足、循环稳定性有限以及与环境可持续性相关的挑战的阻碍。这项工作考察了TES技术的当代进展,特别强调纳米增强相变材料(NEPCMs)和混合TES系统,融合了显热和潜热储存方法。将纳米颗粒(如碳纳米管、金属氧化物和石墨烯)集成到pcm中,导热性提高了60%,同时在超过2500次循环中保持稳定的性能。混合TES系统的能量密度超过350 MJ/m³,运行效率超过90%,因此大大超过了传统的存储方法。此外,环保材料、人工智能驱动的优化框架和废物衍生的纳米添加剂的应用增强了这些系统的生态和经济可行性。这项工作包括纳米封装技术、机器学习(ML)优化技术和循环经济范例的进步,以概述可扩展的低碳TES实施的综合轨迹。这些创新的结合解决了关键的技术、经济和环境问题,从而将TES系统定位为太阳能热发电设施、智能电网和可持续工业能源管理等应用的重要促进者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in nano-enhanced phase change materials and hybrid thermal energy storage systems: Paving the way for sustainable energy solutions
Thermal Energy Storage (TES) systems are integral for alleviating the fluctuations associated with renewable energy sources, thereby facilitating more dependable and efficient energy management strategies. Nevertheless, traditional TES systems are hindered by insufficient thermal conductivity, limited cycling stability, and challenges related to environmental sustainability. This work examines contemporary advancements in TES technologies, with a particular emphasis on nano-enhanced phase change materials (NEPCMs) and hybrid TES systems that amalgamate both sensible and latent heat storage methodologies. The integration of nanoparticles, such as carbon nanotubes, metal oxides, and graphene, into PCMs has resulted in enhancements in thermal conductivity of up to 60%, while concurrently preserving stable performance across more than 2500 cycles. Hybrid TES systems attain energy densities that surpass 350 MJ/m³ and operational efficiencies that exceed 90%, thereby significantly eclipsing traditional storage methodologies. Furthermore, the application of environmentally benign materials, artificial intelligence-driven optimization frameworks, and waste-derived nano-additives bolsters the ecological and economic feasibility of these systems. This work encompasses advancements in nano-encapsulation technologies, machine learning (ML) optimization techniques, and circular economy paradigms to outline a comprehensive trajectory for scalable, low-carbon TES implementation. The incorporation of these innovations addresses crucial technical, economic, and environmental issues, thereby positioning TES systems as essential facilitators for applications including solar thermal power facilities, intelligent grids, and sustainable industrial energy management.
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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