Modelling and simulation of process systemsLaajuus (5 cr)
Code: EN00BH64
Credits
5 op
Teaching language
- Finnish
Responsible person
- Merja Mäkelä
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
Unit
Department of Construction and Energy Engineering
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
-
ENKT21SPEnergy engineering, full-time studies
Opiskelumateriaali
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.
Yksilölliset oppimisväylät
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.
TKI ja työelämäyhteistyö
RDI work is not included in the course.
Opiskelijan työmäärä
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.
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
Unit
Department of Construction and Energy Engineering
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
-
VOKTEN23SEnergy engineering exchange students
-
ENKT21KMEnergy engineering, part-time studies
Opiskelumateriaali
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.
Yksilölliset oppimisväylät
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.
TKI ja työelämäyhteistyö
RDI work is not included in the course.
Opiskelijan työmäärä
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.
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
Unit
Department of Construction and Energy Engineering
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
-
ENKT20SPEnergy engineering, full-time studies
Opiskelumateriaali
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.
Yksilölliset oppimisväylät
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.
TKI ja työelämäyhteistyö
RDI work is not included in the course.
Opiskelijan työmäärä
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.
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
Unit
Department of Construction and Energy Engineering
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
-
ENKT19SPEnergy engineering, full-time studies
Opiskelumateriaali
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.
Yksilölliset oppimisväylät
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.
TKI ja työelämäyhteistyö
RDI work is not included in the course.
Opiskelijan työmäärä
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.