Learn Aspen & Python Through Live Hands-On Cases
Structured, live online training tailored for engineering students, industrial process engineers, and consultants. Master Aspen HYSYS, Aspen Plus, refinery modeling, carbon capture, and Python automation.
Weekly Class Schedule & Flexible Slots
Classes are conducted live online via Google Meet / Zoom with real-time Aspen simulation labs. Pick your preferred weekly slot when booking.
Ideal for accelerated weekday learning and intensive full-day hands-on simulation workflows.
Tailored for working engineers and full-time students balancing busy weekday schedules.
Master process simulation, fluid package selection, unit operations, heat exchangers, and column modeling in Aspen HYSYS.
- Module 1: Introduction to Aspen HYSYS Interface & Fluid Packages (Peng-Robinson, NRTL)
- Module 2: Material & Energy Streams, Mass Balances, Unit Conversions
- Module 3: Rotating Equipment: Pumps, Compressors, Expanders & Turbines
Simulate complex chemical reactions, electrolyte systems, solids handling, and rate-based separation columns in Aspen Plus.
- Module 1: Chemical Components, Data Regression & Property Methods (Electrolyte-NRTL, UNIFAC)
- Module 2: Stoichiometric, Kinetic (RPlug, RCSTR) & Equilibrium Reactor Models
- Module 3: Rigorous Distillation & Absorption Column Design (RadFrac)
Model crude distillation units (CDU), preheat trains, vacuum towers, and fired heaters in Aspen HYSYS.
- Module 1: Crude Oil Assay Characterization & Hypo-component Generation
- Module 2: Crude Preheat Train Modeling & Heat Integration
- Module 3: Fired Heater (Furnace) Modeling & Efficiency Calculations
Simulate MEA amine absorption, stripper solvent regeneration, and CO2 recovery in Aspen Plus.
- Module 1: Flue Gas Characterization & Thermodynamic Selection for Electrolytes
- Module 2: CO2 Absorber Rate-Based Column Simulation (RadFrac)
- Module 3: MEA Solvent Stripper & Reboiler Energy Optimization
Automate process engineering calculations, thermodynamic property lookups, sensitivity studies, and Aspen HYSYS COM interfaces using Python.
- Module 1: Python Fundamentals, Data Structures & NumPy Array Operations
- Module 2: Chemical Thermodynamics & Equation of State (EOS) Solvers in SciPy
- Module 3: Process Data Analysis & Visualization with Pandas & Matplotlib