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Modelling, Simulations and Optimization of Energy Systems (6 cr)

Code: ELA19ED02-3003

General information


Enrollment

15.11.2021 - 16.01.2022

Timing

10.01.2022 - 01.05.2022

Number of ECTS credits allocated

6 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology and Seafaring

Campus

Vasa, Wolffskavägen 33

Teaching languages

  • English

Degree programmes

  • Degree Programme in Electrical Engineering and Automation

Teachers

  • Anders Skjäl

Teacher in charge

Ronnie Sundsten

Scheduling groups

  • ELA20-V-E (Size: 20. Open UAS: 0.)
  • ET21 (Size: 20. Open UAS: 0.)

Groups

  • ELA20D-V
    Ingenjör (YH), el- och automationsteknik, h20, dagstudier
  • ET21S-V
    Energy Technology, 2021

Small groups

  • ELA20-V-E
  • ET21

Objective

Students will learn relevant modelling and optimization skills and apply them to energy system planning problems.
The course focuses on both theory and use of software.

Content

- Modelling 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.

Content scheduling

Lectures 72 h
Home assignments and projects 50 h
Self studies 40 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.