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<p>Self-heating of organic-sludge solid fuel (OSSF) poses a significant fire hazard during storage. This study investigated its thermal behavior through a combined experimental and computational approach. Three types of pelletized OSSF with different compositions were evaluated using DSC, TG-DTA, and controlled laboratory-scale storage experiments. Sample A exhibited rapid thermal activity, releasing 0.068&#xa0;W/m<sup>3</sup> of heat within 8 days. Sample B, characterized by high oxidizable organic matter (1.05 gCOD/g), reached a warning-level temperature of 51&#xa0;°C, while Sample C remained below 30&#xa0;°C, attributed to its lower COD (0.61 gCOD/g) and higher ash content (29%). Heat transfer simulations were conducted using a 3-D transient ANSYS-CFX model, incorporating experimentally measured parameters. The simulations revealed that large-scale storage significantly amplifies thermal risk: Sample A reached 60&#xa0;°C at the core, indicating potential self-ignition after 10 days; Sample B exceeded 80&#xa0;°C, substantially higher than observed in laboratory-scale tests. These findings indicate that material properties and storage scale critically influence thermal and self-heating behavior. A predictive framework combining heat-transfer modeling with thermophysical data is proposed to enhance the safe design of OSSF storage. Recommended measures include optimizing OSSF composition and employing real-time thermal monitoring to mitigate thermal-runaway risk in industrial applications.</p>

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Thermal risk assessment of organic sludge solid fuel via experimental evaluation and heat transfer simulation

  • 期刊论文

  • 发表日期：

    2026年2月12日

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  • Meng Sun,
  • Itsuki Tanaka,
  • Hoang Anh Tuan,
  • Yuying Huang,
  • Xi Zhang,
  • Hidenari Yasui,
  • Gakuji Morishita,
  • Mitsuharu Terashima

摘要

Self-heating of organic-sludge solid fuel (OSSF) poses a significant fire hazard during storage. This study investigated its thermal behavior through a combined experimental and computational approach. Three types of pelletized OSSF with different compositions were evaluated using DSC, TG-DTA, and controlled laboratory-scale storage experiments. Sample A exhibited rapid thermal activity, releasing 0.068 W/m3 of heat within 8 days. Sample B, characterized by high oxidizable organic matter (1.05 gCOD/g), reached a warning-level temperature of 51 °C, while Sample C remained below 30 °C, attributed to its lower COD (0.61 gCOD/g) and higher ash content (29%). Heat transfer simulations were conducted using a 3-D transient ANSYS-CFX model, incorporating experimentally measured parameters. The simulations revealed that large-scale storage significantly amplifies thermal risk: Sample A reached 60 °C at the core, indicating potential self-ignition after 10 days; Sample B exceeded 80 °C, substantially higher than observed in laboratory-scale tests. These findings indicate that material properties and storage scale critically influence thermal and self-heating behavior. A predictive framework combining heat-transfer modeling with thermophysical data is proposed to enhance the safe design of OSSF storage. Recommended measures include optimizing OSSF composition and employing real-time thermal monitoring to mitigate thermal-runaway risk in industrial applications.