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PT Indonesia Asahan AluminumAluminum (INALUM) operates a closed-type Anode Baking FurnaceAnode baking furnace (ABF) to produce carbon anodesCarbon anode for aluminum electrolysisAluminum electrolysis. This study aims to optimize the anode bakingAnode baking curve by using actual anodeAnode temperature measurementTemperature measurement data as the basis for fineFines-tuning. MeasurementsMeasurements were conducted in selected pits using thermocouples with data loggers to obtain the actual temperature distribution at each layer. The results showed temperature variations, including cases of underbaking in each layer, which affected the qualityQuality of AnodeAnode Reactivity Residue of Oxygen (RRO₂), AnodeAnode Reactivity Residue CarbonCarbon Dioxide (RRCO₂), and anodeAnode thermal conductivity. OptimizationOptimization was carried out by increasing the final bakingBaking temperature, extending the soaking duration, and adjusting other operational parameters such as fire progression. The implementation results showed an average improvement in RRO₂ by 2.4%, a reduction in standard deviation by 1.21%, and an increase in Process Capability (Cp) value by 0.16. This optimizationOptimization resulted in annual cost savings through the reduction of Net AnodeAnode Consumption (NAC).

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Enhancing Anode Baking Quality Through Actual Temperature Measurement and Baking Curve Optimization

  • 会议论文

  • 发表日期：

    2026年

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  • Ananto Dwi Rahmadi,
  • Geraldy Rafi,
  • Juperisya Anas,
  • Ade Buandra,
  • Firman Ashad,
  • Ivan Ermisyam

摘要

PT Indonesia Asahan AluminumAluminum (INALUM) operates a closed-type Anode Baking FurnaceAnode baking furnace (ABF) to produce carbon anodesCarbon anode for aluminum electrolysisAluminum electrolysis. This study aims to optimize the anode bakingAnode baking curve by using actual anodeAnode temperature measurementTemperature measurement data as the basis for fineFines-tuning. MeasurementsMeasurements were conducted in selected pits using thermocouples with data loggers to obtain the actual temperature distribution at each layer. The results showed temperature variations, including cases of underbaking in each layer, which affected the qualityQuality of AnodeAnode Reactivity Residue of Oxygen (RRO₂), AnodeAnode Reactivity Residue CarbonCarbon Dioxide (RRCO₂), and anodeAnode thermal conductivity. OptimizationOptimization was carried out by increasing the final bakingBaking temperature, extending the soaking duration, and adjusting other operational parameters such as fire progression. The implementation results showed an average improvement in RRO₂ by 2.4%, a reduction in standard deviation by 1.21%, and an increase in Process Capability (Cp) value by 0.16. This optimizationOptimization resulted in annual cost savings through the reduction of Net AnodeAnode Consumption (NAC).