MEA CO₂ Process Optimization
Budget: $30 – $250 USD
I have an existing MEA absorption–stripping train set up for post-combustion CO₂ capture on a natural-gas-fired flue gas. The next step is to drive its performance with a rigorous, simulation-based optimisation carried out in Aspen Plus (or, if you prefer open-source, DWSIM).
The goal is three-fold: cut the reboiler and condenser duties as much as practical, push overall CO₂ removal as close to 100 % as the equipment will allow, and translate those gains into a lower cost of capture. I will supply my current flow sheet, solvent properties, and plant operating envelope; you refine or rebuild the model, select suitable optimisation algorithms, and iterate until the combined objectives are met.
Because this is a highly specialised task, the tangible items I need at hand-over are:
• A fully converged Aspen Plus (or DWSIM) file with all column, heater, cooler, and pump specs clearly documented.
• The optimisation setup (decision variables, bounds, constraints, weighting of the three objectives, and the script or tool you used).
• A concise report that compares baseline versus optimised cases, quantifying energy duty per tonne CO₂ removed, capture efficiency, and estimated cost of capture, plus any sensitivity insights worth noting.
• A brief recommendations section outlining next steps if the plant is to be scaled or retrofitted.
Acceptance will be based on the model reproducing the provided baseline results within ±2 % and demonstrating measurable improvement in at least two of the three target metrics. If you have recent experience coupling Aspen Plus with external optimisation routines (e.g., Python, MATLAB, or the Aspen built-in optimiser), please highlight that when you respond.
The goal is three-fold: cut the reboiler and condenser duties as much as practical, push overall CO₂ removal as close to 100 % as the equipment will allow, and translate those gains into a lower cost of capture. I will supply my current flow sheet, solvent properties, and plant operating envelope; you refine or rebuild the model, select suitable optimisation algorithms, and iterate until the combined objectives are met.
Because this is a highly specialised task, the tangible items I need at hand-over are:
• A fully converged Aspen Plus (or DWSIM) file with all column, heater, cooler, and pump specs clearly documented.
• The optimisation setup (decision variables, bounds, constraints, weighting of the three objectives, and the script or tool you used).
• A concise report that compares baseline versus optimised cases, quantifying energy duty per tonne CO₂ removed, capture efficiency, and estimated cost of capture, plus any sensitivity insights worth noting.
• A brief recommendations section outlining next steps if the plant is to be scaled or retrofitted.
Acceptance will be based on the model reproducing the provided baseline results within ±2 % and demonstrating measurable improvement in at least two of the three target metrics. If you have recent experience coupling Aspen Plus with external optimisation routines (e.g., Python, MATLAB, or the Aspen built-in optimiser), please highlight that when you respond.