Scholarlink

<p>This review examines recent advances in topology optimization for thermal energy storage, covering sensible, latent and thermochemical systems. Reported improvements range from about 10% to several-fold, with representative studies showing 30–50% shorter phase-change times and up to 47% higher heat release in closed thermochemical reactors. Emerging directions, including multi-operating-condition design, AI-assisted acceleration, and manufacturability-aware optimization, are also discussed, highlighting the role of topology optimization in next-generation thermal energy storage technologies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Topology optimization for next-generation thermal energy storage technologies: recent advances and future directions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月7日

查看全文
  • Yao Zhao,
  • Yun Xie,
  • Shenglei Xia,
  • Hongyi Liu,
  • Jiahua Wang,
  • Yu Huang,
  • Jian Song,
  • Qi Deng,
  • Christos N. Markides

摘要

This review examines recent advances in topology optimization for thermal energy storage, covering sensible, latent and thermochemical systems. Reported improvements range from about 10% to several-fold, with representative studies showing 30–50% shorter phase-change times and up to 47% higher heat release in closed thermochemical reactors. Emerging directions, including multi-operating-condition design, AI-assisted acceleration, and manufacturability-aware optimization, are also discussed, highlighting the role of topology optimization in next-generation thermal energy storage technologies.