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Effects of different heat carriers on pyrolysis products of high-sodium low-rank coal and optimization of pyrolysis process

Author

Listed:
  • Tian, Zhihua
  • Zhang, Bin
  • Wang, Qinhui
  • Deng, Qigang
  • Xu, Guohui
  • Ma, Dong

Abstract

In this study, the effects of quartz sand, coal ash and phosphorite on Na/Cl migration and char characteristics during the pyrolysis of high-sodium coal were investigated in a fluidized bed. The results showed that the Na/Cl release was the largest when quartz sand was used as a heat carrier (20.28 % Na and 88.60 % Cl at 900 °C), while coal ash and phosphorite reduced the Na release ratio to 2.74 % and 13.24 % respectively by forming stable compounds (such as Na-Al-Si and Ca-P-Cl complexes). When phosphorite and coal ash were used as heat carriers, the char yield at 500 °C was increased by 10.72 % and 12.47 % respectively compared with that when quartz sand was used as a heat carrier. Meanwhile, phosphorite and coal ash also improved the reactivity of char. Molecular dynamics simulations show that phosphorite has the strongest adsorption capacity for NaCl (binding energy of −1400 to −2400 kJ∙mol−1), followed by coal ash (−300 to −1800 kJ∙mol−1), and quartz sand is the weakest (−300 to −500 kJ∙mol−1). The innovation of this study is to explore the effects of different heat carriers on the pyrolysis of high-sodium coal, analyze its influence mechanism through molecular dynamics, and propose an optimized process for a double circulating fluidized bed for the utilization of high-sodium low-rank coal. This can provide new ideas for the efficient utilization of high-sodium low-rank coal, reduce the corrosion caused by Na/Cl in industrial applications, improve the quality of char and promote the recycling of resources.

Suggested Citation

  • Tian, Zhihua & Zhang, Bin & Wang, Qinhui & Deng, Qigang & Xu, Guohui & Ma, Dong, 2025. "Effects of different heat carriers on pyrolysis products of high-sodium low-rank coal and optimization of pyrolysis process," Energy, Elsevier, vol. 325(C).
  • Handle: RePEc:eee:energy:v:325:y:2025:i:c:s0360544225017372
    DOI: 10.1016/j.energy.2025.136095
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    References listed on IDEAS

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    1. Ma, Xingxing & Tian, Yajun & Wang, Nana & Zhao, Jinghao & Li, Wen-ying & Xie, Kechang, 2026. "Machine learning methods for understanding coal pyrolysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PC).

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