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Personal profile
Personal Statement
I am a Senior Lecturer and former Strathclyde Chancellor’s Fellow in the Department of Electronic & Electrical Engineering. I obtained my PhD in Wind Energy Maintenance Modelling and Turbine Reliability from the EPSRC Wind Energy Systems CDT, hosted at the University of Strathclyde. Following my PhD I was awarded an EPSRC Doctoral Prize to research wind turbine component failure and remaining useful life prediction. I continue to carry out research in both the areas of my PhD and Post Doc, as well as the area of novel wind turbine concept development.
Before my time at the University of Starthclyde I worked for a wind turbine developer in Germany and a wind turbine manufacturer and operator in both Germany and Denmark. My research is driven and made possible by close links to a number of leading wind turbine developers, manufacturers and operators.
Research Interests
My research focuses on the wind energy area, both onshore and offshore. I have a particular interest in:
- Wind turbine reliability
- O&M cost modelling
- Wind Turbine cost of energy modelling
- The impact of turbine drive train selection on reliability and cost
- Wind turbine component condition monitoring
- Wind turbine component failure prediction
- Wind turbine component remaining useful life prediction based on data driven machine learning approaches and physical modelling approaches
- SCADA and Vibration data analytics
- Novel wind turbine concept development
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Projects
Research output
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Combination of thermal modelling and machine learning approaches for fault detection in wind turbine gearboxes
Corley, B., Koukoura, S., Carroll, J. & McDonald, A., 3 Mar 2021, In: Energies. 14, 5, 14 p., 1375.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A review of wind turbine main-bearings: design, operation, modelling, damage mechanisms and fault detection
Hart, E., Clarke, B., Nicholas, G., Kazemi Amiri, A., Stirling, J., Carroll, J., Dwyer-Joyce, R., McDonald, A. & Long, H., 15 Jan 2020, In: Wind Energy Science. 5, 1, p. 105-124 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Citations (Scopus)412 Downloads (Pure)
Thesis
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Cost of energy modelling and reduction opportunities for offshore wind turbines
Author: Carroll, J., 7 Oct 2016Supervisor: McDonald, A. (Supervisor) & McMillan, D. (Supervisor)
Student thesis: Doctoral Thesis
Prizes
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2nd Place: Future Energy Competition
Carroll, James (Recipient) & Browell, Jethro (Recipient), 20 Nov 2019
Prize: Prize (including medals and awards)
File
Activities
- 1 Organiser of special symposia
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Wind Energy Science conference 2019
David McMillan (Chair), Sally Shenton (Keynote/plenary speaker), Chris Briggs (Keynote/plenary speaker) & James Carroll (Keynote/plenary speaker)
2019Activity: Participating in or organising an event types › Organiser of special symposia