Bioinspired double-layer thermogalvanic cells with engineered ionic gradients for high-efficiency waste heat recovery

  • Cheng Chi
  • , Xingyu Zhang
  • , Chen Shen
  • , Qi Hu
  • , Ze Liu
  • , Jiahao Hu
  • , Zhi Li
  • , Yang Li
  • , Xiaoli Yu
  • , Hao Xiao
  • , Zhaoquan Zhao
  • , Yuan Yao
  • , Xing Liang
  • , Hongwei Wu
  • , Xiaoze Du

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Thermogalvanic cells (TGCs) have emerged as a promising technology for harvesting low-grade thermal energy, but their widespread application has been hindered by limited conversion efficiencies. A critical factor in enhancing TGC performance lies in establishing substantial ion concentration gradients, which remains challenging due to the inherent tendency of ion pairing. Here, we present a breakthrough double-layer thermogalvanic cell (DTGC) architecture that spatially segregates redox pairs into two distinct gel layers, enabling unprecedented control over ion concentration gradients. This innovative design yields a single p-type gelatin-K4[Fe(CN)6]/K3[Fe(CN)6] DTGC unit with remarkable performance metrics of an open-circuit voltage of 220 mV, a power density of 1.73 mW m-2 K-2, and a relative Carnot efficiency (ηr) of 1.34% at ΔT = 10 K, representing a tenfold improvement over conventional TGCs. Scaling up this technology, we demonstrate a modular thermoelectric generator comprising a 4×12 array of alternating p-type and n-type DTGCs, capable of delivering an output voltage exceeding 11.3 V at ΔT = 20 K, sufficient to directly power commercial LED lights and electronic displays. This work establishes a new paradigm for efficient low-grade thermal energy conversion, offering a scalable and practical solution for waste heat recovery applications.
    Original languageEnglish
    Article number111189
    JournalNano Energy
    Early online date28 May 2025
    DOIs
    Publication statusE-pub ahead of print - 28 May 2025

    Bibliographical note

    Note: This research was supported by the National Natural Science Foundation of China (Grant No. 52476070), the Horizon Europe (HORIZON) Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowships (Grant No. 101208677), and the State Key Laboratory of Clean Energy Utilization (Open Fund Project No. ZJUCEU2023011).

    Keywords

    • Computer science and informatics

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