李勇

  • Personal Information
  • Name (Pinyin): Li Yong
  • School/Department: 建筑设备科学与工程学院
  • Education Level: PhD student
  • Degree: Doctoral degree
  • Professional Title: Associate Professor
  • Status: Employed
  • Academic Titles: 绿色建筑全国重点实验室能源利用中心
  • Alma Mater: 西安交通大学

Paper Publications

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Progress in underground thermal energy storage: research contents, hotspots, and development trends

Release time:2026-04-14
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Affiliation of Author(s):
西安建筑科技大学
Journal:
Applied Energy
Key Words:
Nanoscale boiling; Surface temperature; Surface heating rate; Molecular dynamics
Abstract:
Existing reviews on underground thermal energy storage (UTES) are often fragmented and lack analysis of the spatial-temporal evolution of research hotspots. This study aims to provide an objective and comprehensive analysis of the developmental trajectory and research trends in the global UTSES field. This study utilizes 7705 documents published over the past 30 years as its data source to conduct bibliometric and content analysis using knowledge graph techniques. It focuses on three core issues: research frontiers and technology maturity, core bottlenecks, and future trends and cost characteristics. The aim is to overcome the limitations of traditional qualitative reviews and establish a data-driven, multi-dimensional analytical framework. The results indicate that the UTES field has undergone three stages of development: embryonic, stable growth, and rapid expansion, with large-scale commercialization expected by 2065. Aquifer thermal energy storage (ATES) focuses on heatfluid-solid coupling optimization. Borehole thermal energy storage (BTES) emphasizes the integration of phase-change materials (PCMs) with renewable energy. Energy piles (EPs) serve as a critical key link between underground structures and energy systems. Rock thermal energy storage (RTES) is shifting toward hightemperature material innovations, with EP demonstrating significantly higher research intensity. The cost ranking is as follows: EP < (BTES, abandoned mine type; ATES, with existing well reuse) < (BTES, without existing wells) < (ATES, without existing wells) < RTES. Through quantitative analysis and prediction models, this study provides a scientific basis for UTES technological innovation, collaboration establishment, and policy formulation. Moreover, it significantly enhances the scientific rigor of thermal storage system design and engineering translation efficiency.
First Author:
Renfeng Wei
Indexed by:
Journal paper
Correspondence Author:
Yong Li,Yanfeng Liu
Volume:
401
Issue:
Part B
Page Number:
126725
ISSN No.:
0306-2619, 1872-9118
Translation or Not:
no
Date of Publication:
2025-01-01
Included Journals:
SCI、EI