Postgraduate Course: Marine Renewable Resource Assessment (IDCORE) (PGEE11193)

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	20	ECTS Credits	10
Summary	This course takes a problem-based learning approach to introduce resource assessment requirements and techniques for offshore renewable energy developments. It addresses the measurement, 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 two weeks of the course include lectures, computer-based analysis and modelling sessions, and group-based discussion. The final two weeks focus on student-led group work to address specific challenges. The course specifically develops students¿ programming skills using a range of data analysis exercises, and links closely to the Group Design Project.
Course description	The course will run over a four week period, with an initial week followed by a gap for other modules, and then a 3-week block. Week 1 - Introductory lectures and development of programming skills: Introduction to offshore energy devices; Introduction to basic concepts of resource assessment; Introduction to programming with Matlab; Programming workshops, introducing basic data analysis techniques; Overview of assignments. Week 2 - Resource data analysis and numerical modelling: Lectures covering wave, tidal and wind resource theory; Introduction to wave modelling, harmonic analysis and MCP techniques; Individual and group exercises applying analysis and modelling techniques to real datasets; Discussion-based sessions reviewing outcomes and learnings. Week3 - Resource data measurement techniques and project planning: Introduction to resource measurement and instrumentation; Introduction to tank testing using scaled datasets; Group exercise designing a wave, tidal and wind resource measurement campaign for a specified site; Submission of assignment 1. Week 4: Resource data analysis for offshore energy site development and Group Design Project Resource analysis exercise using data based on the proposed measurement campaign in week 3; Students will be set a task to produce the data required for the Group Design Project; Submission of assignment 2.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	None

Course Delivery Information

Academic year 2022/23, Not available to visiting students (SS1)		Quota: None
Course Start	Full Year
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 200 ( Lecture Hours 40, Seminar/Tutorial Hours 15, Fieldwork Hours 15, Feedback/Feedforward Hours 2, Revision Session Hours 4, Other Study Hours 120, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 0 )
Additional Information (Learning and Teaching)	Self study
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	Formative assessment (Weeks 1-2): A series of programming exercises to develop appropriate analysis skills. Verbal feedback will be provided on each.«br /» Submission 1 (50%; end of week 3): Group planning exercise for a resource assessment campaign for a specified location, covering wave, tidal and wind data.«br /» Submission 2 (50%; end of week 4): Group report on analysis of data from the specified location, to be used in the Group Design Project.
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. Be familiar with techniques for the acquisition and synthesis of resource data, including measurement devices and numerical models. Be able to apply analysis techniques to wave and tidal resource datasets. Be familiar with different device types, methods of power conversion, and techniques to predict annual energy production. Be able to plan an appropriate resource assessment campaign.