- Pressure-Driven single phase fluid flow in pipes definition. Pump curve definition & liquid filled pipe element dynamic stability tuning.
- Operational (Batch) Sequences & Scenarios definition in Mobatec Modeller
- Two-Phase (VL) rate based system definition
- Process Control implementation in Mobatec Modeller. Model Predictive Control:
Self-Regulating & Integrating processes
- Dynamic flow-sheet modelling in Mobatec Modeller. ODE solvers set-up: Explicit, Implicit & Semi-Implicit solvers explained.
Course consists of 5 sessions occurring every other day, such that user is given enough time to complete each exercise. Feedback on each exercise is given via 1 to 1 video calls with the trainer or via e-mails. Detailed course schedule is presented bellow:
Objective Exercise I:
- How to set up pipelines with/without valves, slow (real) valves set-up & tuning
- How to set up and tune a pump (pump curve) for the given system characteristics
- How to tune pipe element (joint) system for stabile dynamic operation (pressure changes)
Will teach you how to model pressure-driven fluid flow in pipes, determine correct pump curve & tune pipe element for better dynamic simulation stability.
Objective Exercise II:
- How to set up a sequence – set of conditional time dependent actions for a model
Will teach you how to define (batch) process operational sequences & scenarios for existing models.
Objective Exercise III:
- How to build a one tray reactive distillation unit model from scratch
- How to model a phase-change connection
- How to model multi-phase systems
- How to define phase thermodynamic definition in Mobatec Modeller
- How to build multi-tray column using “Repetitive Structures” systems
Will teach you how to set-up rate-based model of two or multi-phase systems.
Objective Exercise IV:
- How to set up a control configuration of your process models in MM
- Understand the effect of each PID controller parameter (K, Ti & Td)
- Tune (Feedback-loop) Controllers of Self-Regulating Processes: Flow, Pressure, Temperature, Level (80-85% of all control loops)
- Tune Controllers of Self-Non-Regulating Processes (Integrating Processes):Level of the tank with controlled (fixed) output (10% of all loops), “Low-pressure, large-volume” gas pressure control, etc…
Will teach you how to set-up background controllers for your process. Will teach you how to recognize self-regulating or integrating processes, how to use model predictive control to tune them first time right.
Objective Exercise V:
- How to set up & run dynamic model including multiple unit operations
- Understand explicit, implicit & semi-implicit time integrating (ODE) solvers
Will teach you how to set-up & run multi-unit operation process dynamic model. Will teach you how ordinary differential equations (ODE) solvers work, and explain the differences between explicit, implicit, and semi-implicit solvers.
Graduated as a Chemical Engineer at the Belgrade University, Faculty of Technology and Metallurgy. Immediately Vladimir decided to extend his knowledge and participated and succesfully concluded the Professional Doctorate in Engineering at the Technical University of Eindhoven, with focus to Multi-Phase Reactor modelling.
A passion for chemical engineering and with that the design of “the real” dynamic tooling to simulate and build the best possible plants. “Give me the problem I will create the solution” is what best describes Vladimir.