MEA CO₂ Capture Optimization

I have a natural-gas–fired plant and need a full simulation-based optimisation of the monoethanolamine (MEA) absorption–stripping train used for post-combustion CO₂ capture. The aim is to pinpoint the best operating window that keeps capture performance high while driving energy demand and operating cost down.

Software
My in-house preference is DWSIM, so the model, optimiser hooks and final files must run smoothly in that environment. If you need to couple DWSIM with an external solver (e.g., Python or Excel optimisation scripts) that is fine, provided everything stays open source and reproducible.

Scope of work
• Build or refine a rigorous rate-based MEA absorber and stripper model for a typical natural-gas flue-gas composition.
• Validate key thermodynamic and kinetic packages in DWSIM to ensure accuracy against literature or plant data.
• Run an optimisation study covering at least: solvent flow rate, column temperatures, pressure profiles, heat-exchanger duties and reboiler steam demand.
• Deliver a concise report (methods, assumptions, sensitivity plots, Pareto fronts) plus the executable DWSIM file and any auxiliary code.

Acceptance criteria
1. Model converges without manual tweaks across the explored design space.
2. CO₂ capture ≥ 90 % with lean loading and steam usage clearly reported.
3. Energy requirement and cost trade-offs presented in a clear, decision-ready format.

I will provide the gas composition, preliminary column dimensions and any plant constraints once we start.