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Modelling and simulation of process systemsLaajuus (5 cr)

Code: EN00BH64

Credits

5 op

Teaching language

  • Finnish

Responsible person

  • Merja Mäkelä
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Enrollment

06.11.2023 - 17.11.2023

Timing

08.01.2024 - 26.04.2024

Number of ECTS credits allocated

5 op

Virtual portion

3 op

Mode of delivery

40 % Contact teaching, 60 % Distance learning

Campus

Kotka Campus

Teaching languages
  • English
  • Finnish
Seats

0 - 25

Degree programmes
  • Degree Programme in Energy Engineering
Teachers
  • Merja Mäkelä
Teacher in charge

Merja Mäkelä

Groups
  • ENKT21SP
    Energy engineering, full-time studies

Materials

1. Learn materials.
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.

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.

Employer connections

RDI work is not included in the course.

Student workload

30 h online-lectures
30 h Matlab Simulink simulations and computing exercises
75 h other self-study

Evaluation scale

1-5

Assessment methods and criteria

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

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Enrollment

06.04.2023 - 21.04.2023

Timing

18.08.2023 - 15.12.2023

Number of ECTS credits allocated

5 op

Virtual portion

3 op

Mode of delivery

40 % Contact teaching, 60 % Distance learning

Campus

Kotka Campus

Teaching languages
  • English
  • Finnish
Seats

6 - 40

Degree programmes
  • Degree Programme in Energy Engineering
Teachers
  • Merja Mäkelä
Teacher in charge

Merja Mäkelä

Groups
  • VOKTEN23S
    Energy engineering exchange students
  • ENKT21KM
    Energy engineering, part-time studies

Materials

1. Learn materials.
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.

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.

Employer connections

RDI work is not included in the course.

Student workload

16 h lectures
20 h Matlab Simulink simulations and computing exercises
99 h other self-study

Evaluation scale

1-5

Assessment methods and criteria

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

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Enrollment

07.11.2022 - 18.11.2022

Timing

09.01.2023 - 28.04.2023

Number of ECTS credits allocated

5 op

Virtual portion

1 op

Mode of delivery

80 % Contact teaching, 20 % Distance learning

Campus

Kotka Campus

Teaching languages
  • English
  • Finnish
Seats

0 - 35

Degree programmes
  • Degree Programme in Energy Engineering
Teachers
  • Merja Mäkelä
Teacher in charge

Merja Mäkelä

Groups
  • ENKT20SP
    Energy engineering, full-time studies

Materials

1. Learn materials.
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.

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.

Employer connections

RDI work is not included in the course.

Student workload

24 h lectures
36 h Matlab Simulink simulations and computing exercises

Evaluation scale

1-5

Assessment methods and criteria

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

Open in new tab
Enrollment

08.11.2021 - 21.11.2021

Timing

10.01.2022 - 29.04.2022

Number of ECTS credits allocated

5 op

Virtual portion

1 op

Mode of delivery

80 % Contact teaching, 20 % Distance learning

Campus

Kotka Campus

Teaching languages
  • English
  • Finnish
Seats

6 - 25

Degree programmes
  • Degree Programme in Energy Engineering
Teachers
  • Merja Mäkelä
Teacher in charge

Merja Mäkelä

Groups
  • ENKT19SP
    Energy engineering, full-time studies

Materials

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.

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.

Employer connections

RDI work is not included in the course.

Student workload

24 h lectures
36 h Matlab Simulink simulations and computing exercises

Evaluation scale

1-5

Assessment methods and criteria

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