Python Automation & Predictive Engineering Tools
Bridging Aspen HYSYS with Python Scripts for Automated Sensitivity & Diagnostics
I write custom Python scripts that interface directly with Aspen HYSYS via COM API to automate hundreds of parametric simulation runs, generate predictive fouling models, and build custom desktop and web diagnostic tools.
Bridging Aspen HYSYS with Python Scripts for Automated Sensitivity & Diagnostics
Consulting Scope & Engineering Deliverables
Tools I Apply For Your Simulation
Every simulation flowsheet is verified against field data, mass/energy conservation bounds, and thermodynamic fluid property packages.
Related Projects I Have Completed
Green DRI Transition — Hydrogen Decarbonization & Techno-Economic Decision Intelligence
Aspen Plus process simulation and digital decision-support platform evaluating 5 progressive hydrogen transition pathways (NG100 → H25 → H50 → H75 → H100) for a 119 t/h metallic iron plant, optimizing trade-offs between process CO2 abatement, electrolyzer MW scale-up, renewable power tariffs, and capital investment constraints.
Crude Preheat Train Fouling & Furnace Optimization
Quantifying energy penalties, furnace duty increases, and carbon emission surges resulting from severe exchanger fouling in a 100,000 kg/h crude distillation unit (CDU).
Steam Boiler Energy Predictive Maintenance & Efficiency Model
Industrial predictive maintenance and thermal efficiency model developed for Proton Bakers, Zimbabwe, analyzing boiler stack losses, excess O2, and tube scaling.
Discuss Python Automation with Eng. Andrew
Let's evaluate your process stream specifications, heat exchanger network, or sensitivity parameters together.