•   Modeling and Optimization of Energy Systems ET22ED02-3004 13.01.2025-23.03.2025  3 credits  (ET24D-V, ...) +-
    Competence objectives of the study unit
    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.
    Prerequisites
    No prerequisites.
    Content of the study unit
    - 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
    Assessment criteria
    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
    Name of lecturer(s)

    Ronnie Sundsten

    Learning material

    Shared documents with theory and exercises
    Software tutorial materials
    Course literature

    Learning methods

    Lectures
    Computer lab sessions
    Home assignments and small projects

    Objects, timing and methods of assessment

    Homework assignments
    Project work
    Exam

    Teaching language

    English

    Timing

    13.01.2025 - 23.03.2025

    Enrollment date range

    01.12.2024 - 14.01.2025

    Group(s)
    • ET24D-V
    • ELA23D-V
    Responsible unit

    Faculty of Technology and Seafaring

    Small group(s)
    • ET24 (Size: 40.
    • ELA23-E (Size: 40.
    Teachers and responsibilities

    Anders Skjäl

    Degree Programme(s)

    Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

    Campus

    Vasa, Wolffskavägen 33

    RDI share

    0.00 credits

    Share of online studies

    0.00 credits

    Assessment scale

    H-5

    Exam dates and retake possibilities

    An exam scheduled during normal lecture hours towards the end of the course.

    Student's schedule and workload

    Lectures 36 h
    Home assignments and projects 25 h
    Self studies 20 h

    Assessment criteria
    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