I will optimize chemical processes using python and numerical optimization

Are you looking to improve process yield, reduce energy consumption, minimize operating costs, or identify optimal operating conditions?

I provide Python-based process optimization for chemical engineering, industrial processes, research, and simulation studies using engineering calculations, mathematical optimization, and data-driven models.

MY SERVICES

1. Single-Objective Optimization

• Maximize yield or conversion.
• Minimize energy consumption or operating costs.
• Optimize specific process responses.

2. Constrained Optimization

• Optimize operating variables within defined limits.
• Apply material and energy constraints.
• Identify feasible operating regions.

3. Optimization Algorithms

• SciPy optimization methods.
• Differential evolution.
• Nonlinear optimization.
• Grid and parameter searches.
• Multi-objective optimization.

4. Simulation and Data Analysis

• Optimize process equations and simulation results.
• Use regression and machine learning models.
• Analyze process parameter effects.

5. Deliverables

• Python scripts or notebooks.
• Objective functions and constraints.
• Before-and-after comparisons.
• Optimization plots and engineering insights.