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This chapter emphasizes the integration of Machine LearningMachine learning techniques to enhance waste heat utilization in cement plants. By analyzing operational data, machine learning models can predict and optimize process parameters, enabling better control of heat recovery and improving overall efficiency. These techniques can identify optimal operating conditions to maximize power generation from waste heat and enhance clinker production, providing a data-driven approach to sustainable manufacturing.

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Machine Learning-Driven Optimization of Waste Heat Recovery in Cement Plants

  • 章节

  • 发表日期：

    2026年

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  • Sourabh Kumar Singh,
  • Sourabh Luthra,
  • Anuj Kumar Shukla

摘要

This chapter emphasizes the integration of Machine LearningMachine learning techniques to enhance waste heat utilization in cement plants. By analyzing operational data, machine learning models can predict and optimize process parameters, enabling better control of heat recovery and improving overall efficiency. These techniques can identify optimal operating conditions to maximize power generation from waste heat and enhance clinker production, providing a data-driven approach to sustainable manufacturing.