•   Modelling and simulation of process systems EN00BH64-3005 10.01.2022-29.04.2022  5 credits  (ENKT19SP) +-
    Name of lecturer(s)

    Merja Mäkelä

    Mode of delivery

    80% Face-to-face, 20% Distance learning

    Recommended or required reading

    1. Learn materials: https://learn.xamk.fi/course/view.php?id=2060.
    2. Dorf, C.D., Bishop, R.H., Modern Control Systems, 10. edition or some later edition, Addison-Wesley, USA 2005, 881 s.
    3. Harju, T., Marttinen, A., Säätöpiirin virityksen perusteet, Control CAD, Espoo 2001, 166 s.

    Assessment methods and criteria

    Exam (50 %) and Matlab Simulink projects (50 %), with grades 0 - 5.

    Language of instruction

    English

    Timing

    10.01.2022 - 29.04.2022

    Enrollment date

    08.11.2021 - 21.11.2021

    5 credits

    Group(s)
    • ENKT19SP
    Seats

    6 - 25

    Unit, in charge

    Rakennus- ja energiatekniikan koulutusyksikkö (not translated)

    Teacher(s)

    Merja Mäkelä

    Programme(s)

    Degree Programme in Energy Engineering

    Unit location

    Kotka Campus

    Virtual proportion

    1 credits

    Evaluation scale

    1-5

    Planned learning activities and teaching methods

    After completing this course, you will be able to
    * derive for dynamic phenomena differential equation models based on first principles
    * design and realize process experiments, analyze them and create continuous and discrete models based on sampled data
    * present the arrangement and realization of multivariable control methods used in energy production and other process industries
    * apply simulation and design program tools to the description of process systems.
    How would you create dynamic flow balance and heat balances of a flow-through tank using differential equations for Matlab Simulink simulations
    How would you realize a process experiment of a heat exchanger and work out a time-series model based on sampled data and describing heat content, using Matlab Identification Toolbox?
    Why could fuzzy logic or modelpredictive control improve the quality of products or the energy efficiency of a process plant?
    Why is Matlab Simulink very widely used as a basic modelling and simulation tool, and how are you able to utilize Matlab in simulations of processes?

    Scheduled track:
    Lectures, supervised simulation projects and computing exercises

    Independent track:
    Exam and project integrated in one's own work.

    Blended track:
    Exam and intended training projects.

    Students use of time and load

    24 h lectures
    36 h Matlab Simulink simulations and computing exercises

    Work placement(s)

    RDI work is not included in the course.