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Co-simulation of Processes

Teaching Unit (for year 1): Elective #2

Face-to-face time

⁠
`24`
⁠
hours

Student workload

⁠
`60`
⁠
hours

ECTS

⁠
`3`
⁠
⁠

Responsible Teacher

Vincent CHEVRIER

⁠

Pedagogic Team

Denis NETTER

⁠

Aims of the teaching

The teaching aims at providing

a global picture of what is co-simulation and why this approach is necessary for the modelling and simulation of energy systems.

knowledge and skills for designing and implementing co-simulation of energy system.

Course content:

Principal of the theory of modelling and simulation, concepts, what are co-simulation and multi-modelling?

Hybrid (discrete and continuous) co-simulation, synchronization of simulators, DEVS formalism

Standard of industry: Modelica language and FMI norm

Co-simulation in practice: a) algorithm with FMU and python; b) port based description, system of systems and (de)composition of systems application with Mecsyco software.

Intended Learning outcomes (measured by the assessment)

At the end of the teaching module, the student should:

Demonstrate knowledge about fundamental concepts, challenges and solution for co-simulation,

Demonstrate ability to use some co-simulation tools for implementing energy systems as a multi-model (multiphysics and multi-domain systems)

Learning activities and approach

E-learning (online)

Lectures (onsite)

Tutorials (onsite)

Supervised project

Useful information

Location

Practical work equipment

Courses, labs and supervised project (20 h)

Other information

Assessment method

Project oral defence (40%) written report (60%)

Related literature

Theory of Modelling and Simulation: Discrete Event & Iterative System Computational Foundations, BP Zeigler, A Muzy, E Kofman – Academic Press, 2012.

FMI:

fmi-standard.org⁠

⁠

Modelica: modelica.org

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