Postgraduate Course: Marine Renewable Resource Assessment (IDCORE) (PGEE11261)
Course Outline
School | School of Engineering |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | This course takes a problem-based learning approach to introduce resource assessment requirements and techniques for offshore renewable energy developments. It addresses the modelling and analysis of wave, tidal and wind data, and enables students to apply the techniques learned to real datasets in the context of an offshore energy development. The first three days of each week of the course include lectures, computer-based analysis and modelling sessions, and group-based discussion. The final two days of each week focus on student-led group work to address specific challenges, and links closely to the Group Design Project. |
Course description |
The course will run over a two-week block, with each week comprising three days of lectures/workshops followed by two days for group assignments.
Week 1 Wind resource
Introduction to the wind resource and background theory
Introduction to the offshore wind resource assessment standards
Wind data analysis and energy yield calculations
Measure-correlate-predict techniques
Summative group assessment 1: Wind resource analysis exercise
Week 2 Wave resource
Introduction to wave resource and background theory
Introduction to wave resource assessment standards
Wave data spectral analysis and energy yield calculations
Introduction to wave modelling software
Summative group assessment 2: Group presentation
Week 2 Tidal resource
Introduction to tidal resource and background theory
Introduction to tidal resource assessment standards
Tidal data analysis and energy yield calculations
Introduction to harmonic analysis techniques
Individual formative assessment: Harmonic analysis exercise
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
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Academic year 2024/25, Not available to visiting students (SS1)
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Quota: None |
Course Start |
Flexible |
Timetable |
Timetable |
Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Supervised Practical/Workshop/Studio Hours 14,
Feedback/Feedforward Hours 2,
Formative Assessment Hours 4,
Summative Assessment Hours 20,
Other Study Hours 38,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
0 )
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Additional Information (Learning and Teaching) |
Self study
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Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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Additional Information (Assessment) |
100% Coursework
Formative assessment:
Individual harmonic analysis exercise in week 2. Verbal feedback will be provided.
Summative assessment:
Submission 1 (50%; end of week 1): Group summary report on wind resource analysis exercise for the Blyth offshore wave farm, including reflection on individual contributions and group performance. Verbal feedback will be provided to each group.
Submission 2 (50%; end of week 2): Group presentation on the wind and wave resource at the Blyth offshore wave farm and proposal for a full resource assessment study. Written feedback will be provided to each group. |
Feedback |
Not entered |
No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand the need for resource assessment in an industry context, and have a critical awareness of the standards that should be adhered to.
- Apply appropriate techniques for the analysis and synthesis of wind, wave and tidal resource data, including numerical modelling approaches.
- Calculate annual energy yields from long-term resource datasets, given appropriate device power conversion data.
- Plan an appropriate resource assessment campaign.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Resource assessment,data analysis,resource modelling,energy yield |
Contacts
Course organiser | Dr Helen Smith
Tel:
Email: |
Course secretary | Dr Katrina Tait
Tel: (0131 6)51 9023
Email: |
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