Multi-objective Optimization of Fluidized Bed Furnace
- Objective of the Fluidized Bed Furnace: To remove sulfur from the concentrate and prepare the material for further processing.
- Optimization Objective: To identify economically optimal operating parameters for the fluidized bed furnace while maintaining chemical reaction efficiency.
- Optimization Criteria: To minimize energy consumption while ensuring the specified composition of the off-gases (SO₂ and O₂) based on the sulfur content in the initial concentrate.
Challenges to System Optimization: A large number of parameters, nonlinear dynamics, and the lack of an accurate model.
Proposed AI-Based Software Solution: The AI software effectively models the nonlinear dynamics of the process and its specific features. Integrating AI models with an optimization algorithm enables the identification of optimal control parameters that simultaneously minimize costs and maximize the efficiency of the technological process.
Results:
- Efficiency: +16%
- Energy Savings: +14%