Modeling and Optimization of Energy SystemsLaajuus (3 cr)
Code: ET22ED02
Credits
3 op
Objective
Students will learn relevant modeling and optimization skills and apply them to energy system planning problems.
The course focuses on both theory and use of software.
Content
- Modeling technical and economic considerations as optimization problems
- Learning to model and solve certain types of optimization problems using software
- Using Matlab, Excel and specialized software to perform calculations and present results
Qualifications
No prerequisites.
Assessment criteria, satisfactory (1)
35% – 60% of course work and exam completed
Assessment criteria, good (3)
60% – 85% of course work and exam completed
Assessment criteria, excellent (5)
85% – 100% of course work and exam completed
Materials
Shared documents with theory and exercises
Software tutorial materials
Course literature
Enrollment
01.12.2024 - 14.01.2025
Timing
13.01.2025 - 23.03.2025
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Campus
Vasa, Wolffskavägen 33
Teaching languages
- English
Degree programmes
- Degree Programme in Energy Technology
- Degree Programme in Electrical Engineering and Automation
Teachers
- Anders Skjäl
Teacher in charge
Ronnie Sundsten
Scheduling groups
- ET24 (Size: 40. Open UAS: 0.)
- ELA23-E (Size: 40. Open UAS: 0.)
Groups
-
ET24D-VEnergy Technology, 2024
-
ELA23D-VIngenjör (YH), el- och automationsteknik, 2023, dagstudier
Small groups
- ET24
- ELA23-E
Objective
Students will learn relevant modeling and optimization skills and apply them to energy system planning problems.
The course focuses on both theory and use of software.
Content
- Modeling technical and economic considerations as optimization problems
- Learning to model and solve certain types of optimization problems using software
- Using Matlab, Excel and specialized software to perform calculations and present results
Materials
Shared documents with theory and exercises
Software tutorial materials
Course literature
Teaching methods
Lectures
Computer lab sessions
Home assignments and small projects
Exam schedules
An exam scheduled during normal lecture hours towards the end of the course.
Student workload
Lectures 36 h
Home assignments and projects 25 h
Self studies 20 h
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
35% – 60% of course work and exam completed
Assessment criteria, good (3)
60% – 85% of course work and exam completed
Assessment criteria, excellent (5)
85% – 100% of course work and exam completed
Assessment methods and criteria
Homework assignments
Project work
Exam
Assessment criteria, satisfactory (1-2)
40% – 60% of course work and exam completed
Assessment criteria, good (3-4)
60% – 85% of course work and exam completed
Assessment criteria, excellent (5)
85% – 100% of course work and exam completed
Qualifications
No prerequisites.
Enrollment
30.11.2023 - 07.01.2024
Timing
08.01.2024 - 17.03.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Campus
Vasa, Wolffskavägen 33
Teaching languages
- English
Degree programmes
- Degree Programme in Energy Technology
- Degree Programme in Electrical Engineering and Automation
Teachers
- Anders Skjäl
Teacher in charge
Ronnie Sundsten
Scheduling groups
- ELA22-E (Size: 40. Open UAS: 0.)
- ET23 (Size: 40. Open UAS: 0.)
Groups
-
ET23D-VEnergy Technology, 2023
-
ELA22D-VIngenjör (YH), el- och automationsteknik, 2022, dagstudier
Small groups
- ELA22-E
- ET23
Objective
Students will learn relevant modeling and optimization skills and apply them to energy system planning problems.
The course focuses on both theory and use of software.
Content
- Modeling technical and economic considerations as optimization problems
- Learning to model and solve certain types of optimization problems using software
- Using Matlab, Excel and specialized software to perform calculations and present results
Materials
Shared documents with theory and exercises
Software tutorial materials
Course literature
Teaching methods
Lectures
Computer lab sessions
Home assignments and small projects
Exam schedules
An exam scheduled during normal lecture hours towards the end of the course.
Student workload
Lectures 36 h
Home assignments and projects 25 h
Self studies 20 h
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
35% – 60% of course work and exam completed
Assessment criteria, good (3)
60% – 85% of course work and exam completed
Assessment criteria, excellent (5)
85% – 100% of course work and exam completed
Assessment methods and criteria
Homework assignments
Project work
Exam
Assessment criteria, satisfactory (1-2)
35% – 60% of course work and exam completed
Assessment criteria, good (3-4)
60% – 85% of course work and exam completed
Assessment criteria, excellent (5)
85% – 100% of course work and exam completed
Qualifications
No prerequisites.
Enrollment
01.12.2022 - 16.01.2023
Timing
16.01.2023 - 26.03.2023
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Campus
Vasa, Wolffskavägen 33
Teaching languages
- English
Degree programmes
- Degree Programme in Energy Technology
- Degree Programme in Electrical Engineering and Automation
Teachers
- Anders Skjäl
Teacher in charge
Roger Mäntylä
Scheduling groups
- ET22 (Size: 30. Open UAS: 0.)
- ELA21-E (Size: 30. Open UAS: 0.)
Groups
-
ET22D-VEnergy Technology, 2022
-
ELA21D-VIngenjör (YH), el- och automationsteknik, 2021, dagstudier
Small groups
- ET22
- ELA21-E
Objective
Students will learn relevant modeling and optimization skills and apply them to energy system planning problems.
The course focuses on both theory and use of software.
Content
- Modeling technical and economic considerations as optimization problems
- Learning to model and solve certain types of optimization problems using software
- Using Matlab, Excel and specialized software to perform calculations and present results
Materials
Shared documents with theory and exercises
Software tutorial materials
Course literature
Teaching methods
Lectures
Computer lab sessions
Home assignments and small projects
Exam schedules
An exam scheduled during normal lecture hours towards the end of the course.
Student workload
Lectures 36 h
Home assignments and projects 25 h
Self studies 20 h
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
35% – 60% of course work and exam completed
Assessment criteria, good (3)
60% – 85% of course work and exam completed
Assessment criteria, excellent (5)
85% – 100% of course work and exam completed
Assessment methods and criteria
Homework assignments
Project work
Exam
Assessment criteria, satisfactory (1-2)
35% – 60% of course work and exam completed
Assessment criteria, good (3-4)
60% – 85% of course work and exam completed
Assessment criteria, excellent (5)
85% – 100% of course work and exam completed
Qualifications
No prerequisites.