THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Engineering : Postgrad (School of Engineering)

Postgraduate Course: Interdisciplinary Group Design Project (IDCORE) (PGEE11187)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits20 ECTS Credits10
SummaryThe Group Design Project will be designed to reinforce the learning from the other courses in the taught phase. Working in teams of five, students will analyse a project posed & supervised in collaboration with the Offshore Renewable Energy (ORE) Catapult. The project will be delivered in two phases, one in each semester. The project will be integrated with coursework in the taught courses delivered in each semester.
At the end of the project the groups will present a Front-End Engineering Design (FEED), Responsible Research and Innovation (RRI) assessment, and economic analysis to a Dragon¿s Den panel including representatives from the ORE and Energy Systems Catapults and the consortium partners, who will make an investment decision on the project.
Throughout the group design project, teams will assess, audit, and refine an RRI assessment, highlighting possible ethical, environmental and societal impacts.
Course description The starting point will be a realistic scenario in which the client has licenced an energy conversion technology and chosen a deployment site.

In semester 1, groups will plan a measurement campaign for the site, analyse the resulting resource data, predict the hydrodynamic performance and expected power output of the converter and estimate annual energy production.

During the Industrial Seminar Week, they will make poster presentations on their findings to a panel including representatives from the ORE Catapult.

In semester 2, the groups will refine their power performance predictions using model test data, provide an initial estimate of the project¿s levelised cost of energy, the internal rate of return and payback period. They will consider changes needed to optimise the performance of the machine and the deployment site in light of both the machine¿s characteristics and the available grid connection.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2019/20, 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 10, Dissertation/Project Supervision Hours 40, Feedback/Feedforward Hours 10, Formative Assessment Hours 5, Summative Assessment Hours 5, Other Study Hours 126, 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) Measurement Campaign Plan (Phase 1 week 1): 15%
Resource Analysis report (Phase 1 early week 2): 15%
Estimated Annual Energy production report (End of Phase 1): 20%
FEED report (Phase 2 week 2): 30%
- Refined Energy Performance Predictions
- Economic Assessment
- Proposal for improved design
RRI report (Phase 2 Week 2): 10%
Commercial Presentation: (Phase 2 Week 2): 10%
Feedback Focussed verbal feedback after each assessment (c 1.5 hours)
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Reinforce an engineering approach characterised by questioning and creative thinking; develop skills in problem identification and study planning; provide a realistic team working environment; develop advanced communication skills; establish a practical understanding of the value and processes of Responsible Research and Innovation (RRI).
  2. Show an understanding of the application of theoretical knowledge to practical problems; highly-developed team-working and communication skills including the ability to present engineering projects in a competitive commercial context; a detailed appreciation of project planning issues; a strong appetite for creative engineering and planning.
  3. Demonstrate ability to identify technical, environmental, economic and societal issues and constraints; demonstrate ability to optimise a whole system design within these constraints using a rational design process supported by critical review at all stages; demonstrate ability to communicate the synthesised solution and persuade experts of its optimisation, technically, economically and environmentally.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsOffshore,Design,Renewable,Energy,Responsible,Research,Innovation,Economic
Contacts
Course organiserDr Tom Bruce
Tel: (0131 6)50 8701
Email: Tom.Bruce@ed.ac.uk
Course secretaryDr Katrina Tait
Tel: (0131 6)51 9023
Email: Katrina.Ireland@ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information