关键词: 相变储热, 能效提升, 人工智能

Abstract:

This paper delves into the pivotal role of phase change thermal energy storage (PC-TES) technology in global energy and environmental challenges, emphasizing real-world efficiency issues. Through the application of computer technologies such as data collection, artificial intelligence algorithms, and digital twin technology, the PC-TES system achieves comprehensive monitoring, significantly enhancing its energy efficiency. The focus is on the core efficiency issues, including the selection of thermal storage materials and phase change materials, system structural design, heat and mass transfer processes, and thermodynamic cycle efficiency. The paper proposes a series of optimization methods, such as in-depth research into the system's operational principles, exploration of thermal storage material combinations, and optimization of system structural design. The critical nature of performance evaluation and monitoring for PC-TES systems is highlighted, encompassing the role of SCADA systems, real-time monitoring of key parameters, and data analysis supporting decision-making. Lastly, the paper underscores the innovative application of artificial intelligence technology and digital twin technology in PC-TES, providing intelligent and efficient means for system performance enhancement.

Key words: phase change thermal storage, energy efficiency enhancement, artificial intelligence