Chemical Process Modelling and Simulation Course

Name: Chemical Process Modelling and Simulation Training Course
Availability: InStock

Build, converge, test, and validate steady-state chemical process models through a software-neutral and evidence-based workflow.

Chemical Process Modelling and Simulation Course

At a glance

Duration: 1 Week
Format: Classroom
Cities: Frankfurt, Tashkent, Porto, Madrid, New York, Dubai and more
Next session: 9 – 13 November 2026, Frankfurt
Average fee: 7,500 €

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Chemical Process Modelling and Simulation Training Course

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Overview

Chemical Process Modelling and Simulation Training Course is a one-week intermediate programme for chemical and process engineers, operations engineers, analysts, and project personnel who leave with a Process Model Validation Pack. Participants translate process intent and flow diagrams into components, streams, thermodynamic methods, unit-operation models, specifications, recycles, and solved steady-state flowsheets. The course emphasizes assumptions, balance closure, convergence, sensitivity, validation, uncertainty, and traceable communication rather than software-specific certification or detailed equipment design. Agile Leaders Training Center delivers this software-neutral process simulation course.

Who Should Attend

Chemical and process engineers who build or review steady-state models
Operations engineers who use simulation evidence for troubleshooting and studies
Technical analysts responsible for data, cases, and model documentation
Project personnel who review process concepts and simulation deliverables
Graduate engineers seeking structured process-modelling practice

Participants should understand material and energy balances, basic thermodynamics, and common unit operations. The course does not authorize equipment design, relief-system sizing, operating changes, or decisions outside approved engineering governance.

Departments and Industries

The course supports oil and gas, petrochemicals, chemicals, refining, utilities, water, energy, food processing, and industrial manufacturing.

Process engineering and technical services
Operations support and production optimisation
Projects, design review, and commissioning support
Research, development, and process improvement
Energy, sustainability, and performance analysis

Learning Objectives

By the end of this course, participants will be able to:

Define a model purpose, boundary, assumptions, and required evidence
Build components, streams, balances, and unit-operation connections
Select and justify thermodynamic and physical-property methods
Manage specifications, degrees of freedom, recycles, and convergence
Run sensitivity cases and interpret model response
Validate, document, and communicate model uncertainty and limitations

Course Agenda

Day 1: Model Purpose, Boundaries, and Balance Basis

Decision Question and Model-Fidelity Definition
Process Flow Diagram to Model Boundary Map
Component, Stream, Phase, and Basis Register
Material and Energy Balance Closure Worksheet
Assumption, Data Source, and Limitation Log

Day 2: Thermodynamics and Stream Definition

Property Requirement and Phase-Behaviour Map
Equation-of-State and Activity-Coefficient Method Comparison
Pure-Component, Interaction, and Pseudo-Component Data Review
Flash Calculation and Stream-State Interpretation
Property-Method Selection and Validation Record

Day 3: Unit Operations and Flowsheet Construction

Mixer, Splitter, Valve, Pump, and Compressor Model Setup
Heater, Cooler, and Heat-Exchanger Model Boundaries
Separator, Reactor, and Column Model Inputs
Specification, Variable, Constraint, and Degree-of-Freedom Check
Connected Flowsheet Build and Intermediate Result Review

Day 4: Recycles, Convergence, and Sensitivity

Recycle Loop Identification and Tear-Stream Selection
Initial Estimate and Convergence Control Strategy
Numerical Failure, Infeasibility, and Warning Diagnosis
Case Study, Sensitivity Variable, and Response Matrix
Result Trend, Constraint, and Unexpected-Behaviour Review

Day 5: Validation, Uncertainty, and Decision Communication

Plant, Vendor, Literature, and Reference-Case Comparison
Residual, Bias, Calibration, and Reconciliation Review
Input Uncertainty and Output Sensitivity Register
Model Version, Scenario, Assumption, and Audit Trail
Capstone Exercise: Process Model Validation Pack

Practical Exercises

Guided exercises develop disciplined model construction and review without depending on one commercial simulator.

Convert a process flow diagram into model objects and streams
Close material and energy balances for a defined case
Compare property methods against stated phase behaviour
Resolve a recycle convergence problem and run a sensitivity study
Validate a model and present a bounded engineering recommendation

FAQs

Is the course tied to one simulation package?

No. It teaches transferable process-modelling principles and workflow. Demonstrations or exercises may use an available environment, but no software certification is claimed.

Does the course cover dynamic simulation?

The principal scope is steady-state modelling. Dynamic concepts may be distinguished for context, but building dynamic control models is outside the course outcome.

Which unit operations are included?

Examples include mixers, splitters, valves, pumps, compressors, heat exchangers, separators, reactors, and columns at an intermediate modelling level.

How is model quality assessed?

Participants check balance closure, data provenance, thermodynamic suitability, convergence, residuals, trends, sensitivity, uncertainty, assumptions, and limits.

What will participants take back to work?

A Process Model Validation Pack containing the model basis, property review, flowsheet checks, convergence record, sensitivity matrix, validation evidence, and audit trail.

Conclusion

Participants return able to build and review steady-state chemical process models, diagnose simulation behaviour, and communicate conclusions with explicit evidence and boundaries.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 58 events

Location	Dates	Duration	Mode	Price
Sharm El-Sheikh	Week 10, 2027 8 – 12 March 2027	1 Week	Onsite	€5,200
Cairo	Week 12, 2027 22 – 26 March 2027	1 Week	Onsite	€5,200
Berlin	Week 13, 2027 29 March – 2 April 2027	1 Week	Onsite	€6,500
San Diego	Week 14, 2027 5 – 9 April 2027	1 Week	Onsite	€16,000
London	Week 15, 2027 12 – 16 April 2027	1 Week	Onsite	€6,500
Tbilisi	Week 15, 2027 12 – 16 April 2027	1 Week	Onsite	€5,700
Dubai	Week 17, 2027 26 – 30 April 2027	1 Week	Onsite	€6,500
Baku	Week 18, 2027 3 – 7 May 2027	1 Week	Onsite	€8,000
Phuket	Week 18, 2027 9 – 13 May 2027	1 Week	Onsite	€8,000
Istanbul	Week 19, 2027 10 – 14 May 2027	1 Week	Onsite	€6,000
Zanzibar	Week 19, 2027 16 – 20 May 2027	1 Week	Onsite	€6,000
Kuwait	Week 21, 2027 30 May – 3 June 2027	1 Week	Onsite	€7,000
Lisbon	Week 23, 2027 7 – 11 June 2027	1 Week	Onsite	€6,500
Amman	Week 23, 2027 13 – 17 June 2027	1 Week	Onsite	€6,000
Tokyo	Week 25, 2027 21 – 25 June 2027	1 Week	Onsite	€12,000
Nice	Week 26, 2027 28 June – 2 July 2027	1 Week	Onsite	€8,000
Lagos	Week 26, 2027 4 – 8 July 2027	1 Week	Onsite	€6,000
Montreux	Week 28, 2027 12 – 16 July 2027	1 Week	Onsite	€8,000
Athens	Week 29, 2027 19 – 23 July 2027	1 Week	Onsite	€7,500
Trabzon	Week 29, 2027 25 – 29 July 2027	1 Week	Onsite	€8,000

Frequently asked questions

What does this course cover?

OverviewChemical Process Modelling and Simulation Training Course is a one-week intermediate programme for chemical and process engineers, operations engineers, analysts, and project personnel who leave with a Process Model Validation Pack. Participants translate process intent and flow diagrams into components, streams, thermodynamic methods, unit-operat…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Chemical Process Modelling and Simulation Course