Using ChatGPT in Process Design, Chemical Engineering & Process Safety
Consultant/Trainer: Jan van Opstal
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Participants
- Process Engineers involved in process design, simulation, and optimization.
- Chemical Engineers working on equipment sizing, thermodynamics, and reaction engineering.
- Process Safety Engineers responsible for HAZOP, LOPA, C&E diagrams, and SIS/SRS development.
- Control & Automation Engineers working on P&IDs, control narratives, and process automation strategies.
- Project & Design Engineers in oil & gas, hydrogen, ammonia, methanol, and sustainable fuels projects.
- Engineering Managers & Consultants seeking productivity gains and standardization with ChatGPT.
Learning Objectives
Day 1
Module 1: Introduction to ChatGPT in Process Engineering
1.Role of ChatGPT-powered tools in Chemical Engineering & Process Safety
2.Overview of ChatGPT capabilities, limitations, and reliability checks
3.Integrating ChatGPT with engineering workflows (simulation tools; HYSYS, UNISIM)
4.Importing Process Flow Scheme and P&ID in ChatGPT
Module 2: Process Design Fundamentals with ChatGPT
1.Material & Energy Balances (H&MB generation support)
2.Stream property predictions (enthalpy, phase, compositions)
3.Equipment design calculations:
- Heat exchangers (UA, LMTD, approach temperatures)
- Pumps & compressors (pump curves, surge line, NPSH)
- Distillation columns (McCabe-Thiele, shortcut distillation, tray efficiency)
Workshop: Using ChatGPT to draft a Heat & Material Balance for a Distillation column case study
Day 2
Module 3: Process Control & Automation
1.Control loop narratives (flow, pressure, temperature, level control)
2.P&ID development support and tag generation
3.Control valve sizing and pump minimum flow protection
4.ChatGPT as Copilot for Dynamic Simulations in UNISIM/HYSYS
Module 4: Specialised Chemical Engineering Applications
1.Reactor kinetics support (CSTR, PFR, catalytic reactors)
2.Thermodynamics (VLE, EOS, property methods)
3.Separation technologies: distillation, membrane, adsorption, and extraction
4.Process intensification concepts
Workshop: Drafting a process control scheme for a Distillation column case study
Programme
Day 1
Module 1: Introduction to ChatGPT in Process Engineering
1.Role of ChatGPT-powered tools in Chemical Engineering & Process Safety
2.Overview of ChatGPT capabilities, limitations, and reliability checks
3.Integrating ChatGPT with engineering workflows (simulation tools; HYSYS, UNISIM)
4.Importing Process Flow Scheme and P&ID in ChatGPT
Module 2: Process Design Fundamentals with ChatGPT
1.Material & Energy Balances (H&MB generation support)
2.Stream property predictions (enthalpy, phase, compositions)
3.Equipment design calculations:
- Heat exchangers (UA, LMTD, approach temperatures)
- Pumps & compressors (pump curves, surge line, NPSH)
- Distillation columns (McCabe-Thiele, shortcut distillation, tray efficiency)
Workshop: Using ChatGPT to draft a Heat & Material Balance for a Distillation column case study
Day 2
Module 3: Process Control & Automation
1.Control loop narratives (flow, pressure, temperature, level control)
2.P&ID development support and tag generation
3.Control valve sizing and pump minimum flow protection
4.ChatGPT as Copilot for Dynamic Simulations in UNISIM/HYSYS
Module 4: Specialised Chemical Engineering Applications
1.Reactor kinetics support (CSTR, PFR, catalytic reactors)
2.Thermodynamics (VLE, EOS, property methods)
3.Separation technologies: distillation, membrane, adsorption, and extraction
4.Process intensification concepts
Workshop: Drafting a process control scheme for a Distillation column case study