Multi-objective Optimization of Blast Furnace Ironmaking
Objective of the Blast Furnace Operation:To reduce iron from oxides and produce liquid iron of a specified composition.
Optimization Objective: To determine the most cost-effective and environmentally friendly operating conditions for the blast furnace while ensuring stable iron quality (Si and S content, temperature).
Optimization Criteria:To minimize coke consumption and energy costs for blast air and pulverized coal injection (PCI), while complying with constraints on iron composition, lining durability, and CO₂ emissions.
Challenges to System Optimization:Nonlinearity of the process, long time delays, and interdependence of parameters.
Proposed Software Solution Based on Neural Networks and Hybrid Modeling:The software enables real-time forecasting of the smelting process and calculates optimal settings to reduce coke consumption, increase productivity, and cut emissions.
Results:
- Efficiency: +10%
- Coke Consumption Reduction: −12%
- Iron Quality Stabilization:+30%
- CO₂ Emissions Reduction:−15%