Simulation and Optimization
Simulation and optimization studies are conducted to predict process performance, technically compare design alternatives, and evaluate operating conditions based on quantitative data. Process simulations and digital models are validated using laboratory and pilot-scale data, enabling technical analysis of critical parameters such as capacity, energy consumption, recovery, and operational stability. Optimization studies provide engineering-based inputs for design and operational decision-making.
- Process simulation and circuit modeling
- Mass, metal, and water balance analyses
- Scenario-based capacity and performance evaluations
- Energy consumption and efficiency analysis
- Equipment sizing and circuit configuration optimization
- Digital process monitoring and decision-support systems
- Integration of laboratory and pilot-scale data into simulations
- Circuit validation and sensitivity analyses
- Technical comparison of alternative process flowsheets
- Scale-up studies
- Operating parameter optimization scenarios
