Projects per year
My research interests are with electricity generation from renewable energy sources, in particular from wind and to a lesser extent photovoltaics (PV), and the integration of these sources into electricity systems large and small. Associated with this central challenge I take an interest in energy storage technology and application, and increasingly demand side management such as available through controlled charging of electric vehicles.
Specific areas of research related to wind energy that I am presently active in include:
- condition monitoring for large offshore turbines;
- drive train analysis with an emphasis on improving reliability;
- wind resource spatio-temporal modelling; and
- power system support services such as frequency support from wind turbines.
I joined the University in 2007 as Professor in Renewable Energy Technologies. Together with colleagues, a considerable wind energy research activity has been built up since then. For five years I was Manager of the Doctoral Training Centre in Wind Energy Systems, delivering four year PhDs with a considerable training element; this was extended into the Centre for Doctoral Training in Wind and Marine Energy Systems for which I played a leading managerial role before retiring and taking on the role of Research Professor. My teaching was mainly to these Doctoral students although I also supervised Undergraduate and Masters student projects across a range of renewable energy related topics.
My main responsibility outside the University is as Editor in Chief of the IET’s Renewable Power Generation journal.
Doctor of Science, University of Kent
Award Date: 1 Jan 1980
Bachelor of Mathematics and Physics, Lancaster University
Award Date: 1 Jan 1976
1/04/14 → 30/09/22
Project: Research - Studentship
3/09/12 → …
Project: Internally funded project
Comparison of new anomaly detection technique for wind turbine condition monitoring using gearbox SCADA dataMcKinnon, C., Carroll, J., McDonald, A., Koukoura, S., Infield, D. & Soraghan, C., 2 Oct 2020, In: Energies. 13, 19, 19 p., 5152.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile15 Downloads (Pure)
Data-driven weather forecasting models performance comparison for improving offshore wind turbine availability and maintenancePandit, R., Kolios, A. & Infield, D., 5 Oct 2020, In: IET Renewable Power Generation. 14, 13, p. 2386-2394 9 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile3 Citations (Scopus)18 Downloads (Pure)
Infield, David (Recipient), Oct 2008
Prize: Election to learned society