Postgraduate Course: Asset Management (IDCORE) (PGEE11260)
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 introduces business value within organisations and links it to critical maintenance and operation requirements for ORE infrastructure. It develops practical knowledge and skills in asset lifecycle management, including strategy, planning, lifecycle costing, business models and industry case studies. Research engineers will work with relevant supervisory control and data acquisition (SCADA) measurements to appreciate the importance for preventative/proactive maintenance. They will complete marine operations planning and modelling case studies using industry software (Mermaid). |
| Course description |
Software/data workshops:
SCADA data processing and failure identification [2 hours]
Offshore wind turbine & farm failure modelling in Python and assessing O&M strategies [6 hours]
Marine operations planning using Mermaid [6 hours]
Lectures on:
Offshore project management - Offshore design process, offshore installation and maintenance process, identify and manage cost drivers [2 hours]
Offshore risk management - collision risk mitigation, concept of risk assessment, subjective and quantitative risk assessment [2 hours]
Instrumentation and Condition Monitoring of ORE [2 hours]
Introduction in to numerical simulation of failures including failure rate estimation and Bayesian approach [3 hours]
Uncertainties and cost implications associated with the asset management of ORE converters [3 hours]
Guest lectures from industry based asset managers [2 hours]
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
|
| Academic year 2024/25, Not available to visiting students (SS1)
|
Quota: None |
| Course Start |
Flexible |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 14,
Seminar/Tutorial Hours 2,
Supervised Practical/Workshop/Studio Hours 14,
Feedback/Feedforward Hours 1,
Formative Assessment Hours 5,
Summative Assessment Hours 12,
Other Study Hours 50,
Programme Level Learning and Teaching Hours 2,
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) |
100% Coursework
There are two elements of assessment:
1) A group presentation in the form of a consultancy style technical presentation outlining the proposed asset management strategy for the ORE project, the required condition monitoring and O&M systems, and the lifecycle cost with some comparisons to alternate strategies.
2) A technical report outlining the modelling methods and results that have supported the decisions made for the group presentation. |
| Feedback |
Feedback at the end of week 1 on modelling set-up for assignment.
Summative feedback will be provided following the group presentations, this will include formative feedback from peers. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Understanding the context and challenges of offshore risk at different project stages including an understanding of different operation and maintenance strategies suitable for ORE projects (M2, M4, M9)
- Understand the nature of component failures, failure rate data, and the statistics of damage accumulation with reference to relevant design standards and safety factors (M2, M4)
- Students will use their understanding of failure data to analyse SCADA data in Python and understand the challenges in both identifying and predicting failures (M3, M12)
- Students will use statistical based models in Python and industry specific software such as Mermaid to model failures and assess the impact of different O&M strategies on the life of the project (M3, M7, M15)
- Students will collaborate on preparation of a comparative analysis of O&M strategies for a project including suitable monitoring systems, vessel selection/charter, and management strategies. Students will produce a report and presentation summarising their analysis and recommending a suitable asset management strategy for the proposed project (M15, M16, M17)
|
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Condition monitoring; inspection,operation,and maintenance; marine operations; lifecycle analysis |
Contacts
| Course organiser | Dr Ajit Pillai
Tel:
Email: A.Pillai@exeter.ac.uk |
Course secretary | Dr Katrina Tait
Tel: (0131 6)51 9023
Email: k.tait@ed.ac.uk |
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