Læringsutbytte

A candidate who has completed the course successfully will have a learning outcome in the form of acquired knowledge, skills, and general competence, as described below.

Knowledge

• understand how to develop mathematical models of a physical system
• be able to interpret the dynamic behaviour of a physical system with the help of simulation results
• understand the difference between signal flow and object oriented modelling and the respective benefits
• be able to use object-oriented modelling and simulation tools

Skills

• be able to formulate of mathematical models across different physical domains (e.g., mechanical, electrical, hydrological) in a object-oriented modelling language
• be able to extend simple models to more advanced models (e.g., by use duplication and inheritance techniques)
• be able to develop a simple physical system model in an object-oriented way

General competence

• be able to create a modelling library which contains different features of object-oriented modelling

Innhold

The course uses a hydro power system as an example application that contains properties from the fluid, mechanical, electrical and control domain and is therefore also highly relevant for other engineering disciplines.

The content of this course is divided into two main parts, a hydro power system part and a modelling part.

• hydro power system part:
  • accumulation of water in reservoirs
  • transport of water to the turbine (conduits/tunnel, etc.)
  • transformation of hydrological power into mechanical power with the help of different types of turbines
  • transformation of mechanical power to electrical power in the generator
  • transforming the electrical power itself (various voltages)
  • distribution of power in the electrical grid
  • control of electrical power production depending on different production and load scenarios

• modelling part:
  • Describing the behaviour of physical systems
    • basic equations
    • discrete behaviour
    • vectors and arrays
    • functions
  • Object-oriented Modelling
    • packages
    • connectors
    • components
    • sub-systems
    • architectures

Part of the course will deal with building/extending a library of complex models for a multi-domain (hydrological, electrical, thermal, control, etc.) physical system using a Modelica modelling and simulation environment. An important element is analysing simulation results with respect to plausibility.

Arbeids- og læringsformer

Lectures, exercises, and the use of relevant software for PCs. Intermediate tests such as group projects with oral presentation and/or mid term tests will be used.

An online, part-time version of the SCE study programme will start Autumn 2015. The present course will be taught online from the Autumn semester year 2018. However, the course will continue to be taught also as a traditional campus-based course. The course contents and learning material used in the course will be the same in both programmes, except that in the online programme, the lectures will be in the form of offline video-based lectures, and laboratory assignments will be organised at a gathering on the campus at the end of the semester.

Vurderingsformer

Continuous assessment:

• assignment (30%)
• individual examination (70%)

The assignment must be approved as entry condition for the individual examination.

Individual grades (A-F).

Det tas forbehold om mindre justeringer i planen.