Syllabus for Specialisation in Multi-Criteria Decision Analysis for Wind Power Development

Fördjupning i beslutsanalys för vindkraftsprojektering

Syllabus

  • 15 credits
  • Course code: 1GV183
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Wind Power Project Management A1F

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2019-03-07
  • Established by:
  • Revised: 2023-02-09
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2023
  • Entry requirements:

    A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. The main field of study must be within engineering, science or social science. 60 credits of Master's level courses in wind power project management. Proficiency in English equivalent to the Swedish upper secondary course English 6.

  • Responsible department: Department of Earth Sciences

Learning outcomes

On completion of the course, the student should be able to:

  • describe the methodological foundations and the operationalconsequences of Multi-Criteria Decision Analysis (MCDA)
  • decompose wind energy projects and plans into appropriate sustainability (energy, economic, technological, environmental, societal) criteria
  • implement MCDA methods in wind power development, identify the particular steps of such an approach and address any shortcomings
  • apply clean energy project or other analysis software for a particular wind farm or siting plan and make a relevant detailed analysis
  • compare a number of competing wind power projects and select and rank the most favorable projects for a given site, area or region
  • perform an integrated evaluation and relevant sustainability analysis of wind power projects and plans

Content

The optimization of wind farms or plans based on technical, economic, environmental and social aspects will be studied. These aspects of a wind farm project or plan will also include consideration of infrastructure such as the grid, roads and/or environmental constraints. Multi-Criteria Decision Analysis (MCDA) methods will be introduced as an appropriate operational tool in the decision aiding process for wind power development and will be applied on relevant portions and scales. A proposal for the best solution regarding the optimum level of exploitation of wind power in a given area will be formulated.

Instruction

Lectures, seminars and group work.

Assessment

Written project report (15 credits).

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Syllabus Revisions

Reading list

Reading list

Applies from: Autumn 2023

Some titles may be available electronically through the University library.

  • Hobbs, Benjamin F.; Meier, Peter Energy decisions and the environment : a guide to the use of multicriteria methods

    Boston: Kluwer Academic Publishers, 2000

    Find in the library

    Mandatory

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