Professor David Infield

Research Professor

Electronic and Electrical Engineering

Personal statement

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. Over the past five years I have been Manager of the Doctoral Training Centre in Wind Energy Systems, delivering four year PhDs with a considerable training element; this has now been extended into the Centre for Doctoral Training in Wind and Marine Energy Systems for which I play a leading managerial role.  My teaching is mainly to these Doctoral students although I also supervise 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.  

Publications

Comparison of binned and Gaussian Process based wind turbine power curves for condition monitoring purposes
Pandit Ravi Kumar, Infield David
Journal of Maintenance Engineering Vol 2 (2018)
Comparative study of binning and gaussian process based rotor curves of a wind turbine for the purpose of condition monitoring
Pandit Ravi Kumar, Infield David
3rd International Conference on Offshore Renewable Energy (2018)
Markov Chain Monte Carlo simulation of electric vehicle use for network integration studies
Wang Yue, Infield David
International Journal of Electrical Power and Energy Systems Vol 99, pp. 85-94 (2018)
Using high-frequency SCADA data for wind turbine performance monitoring : a sensitivity study
Gonzales Elena, Stephen Bruce, Infield David, Melero Julio J
Renewable Energy Vol 131, pp. 841-853 (2018)
https://doi.org/10.1016/j.renene.2018.07.068
Comparative analysis of binning and support vector regression for wind turbine rotor speed based power curve use in condition monitoring
Pandit Ravi, Infield David
The 53rd International Universities Power Engineering Conference (2018)
Gaussian process operational curves for wind turbine condition monitoring
Pandit Ravi, Infield David
Energies Vol 11 (2018)
https://doi.org/10.3390/en11071631

more publications

Research interests

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.

Professional activities

IPCC (External organisation)
Advisor
11/8/2017
Offshore Wind Energy
Speaker
3/5/2017
Delft University of Technology (External organisation)
Advisor
2/2/2017
REN21 (External organisation)
Advisor
10/1/2017
PhD external examiner for Aalborg University
External Examiner
2016
WindEurope Summit 2016
Chair
29/9/2016

more professional activities

Projects

Simulated Wakes Effect Platform for Turbines 2 (SWEPT2)
Infield, David (Principal Investigator)
"The SWEPT2 project aims to develop a sophisticated tool for modelling of wind turbine wakes and wake interactions. It is well known that present wake models are inadequate, especially for application to large offshore wind farms, and have led to wind farm designs with larger than expected wake losses. Improved wake models are essential for improved wind farm designs with improved energy yield. Validation of wake models is critical but difficult to undertake at full scale. By making use of LIDAR and full size turbines, the project aims to collect data on wakes that will provide confidence in the validation process. However LIDAR data is not without its own technical challenges, mainly related to data dropout due at times to inadequate back-scatter from aerosol particles. Strathclyde has experience of LIDAR measurement of wind turbine wakes both onshore and offshore and will apply the methods previously developed to provide high quality data sets to be used for model validation within the consortium. There are different ways in which flow field measurements and CDF calculations can be compared to assess the quality of wake models; the Strathclyde team will apply methods previously developed and shown to be effective to the SWEPT2 validation."
01-Jan-2015 - 30-Jan-2018
ClimateXchange Energy Storage Literature Review
Infield, David (Principal Investigator)
01-Jan-2015 - 01-Jan-2015
AWESOME (H2020 ETN)
Infield, David (Principal Investigator)
01-Jan-2015 - 31-Jan-2018
GE Campbell Booth CEPRI
Infield, David (Academic) Booth, Campbell (Academic) Xu, Liqiang (Academic)
UOS staff to attend CEPRI/UOS steering group on 25th July 2014 in Bejing and discuss a number of items. A steering group has already been established. Specific activities and objectives, as already discussed include - exchange of students/engineers between both parties, co-sponsorship and seeking of external funding for research projects including jointly organising technical workshops to identify and pursue opportunities, funding for potential joint research could be from future calls by EPSRC and NSFC, Ministry of Science and Technology of China through international joint research projects, Royal Society of Edinburgh through joint research funding schemes, European calls under EU2020 Horizon project for which CEPRI is a qualifies partner, co-authoring of journal and internationally-respected conference papers.
21-Jan-2014 - 21-Jan-2015
EPSRC Centre for Doctoral Training in Wind & Marine Energy Systems | Barrera Martin, Oswaldo
Leithead, Bill (Principal Investigator) Infield, David (Co-investigator) Barrera Martin, Oswaldo (Research Co-investigator)
01-Jan-2014 - 28-Jan-2017
EPSRC Centre for Doctoral Training in Wind & Marine Energy Systems
Leithead, Bill (Principal Investigator) Infield, David (Co-investigator)
01-Jan-2014 - 30-Jan-2022

more projects

Address

Electronic and Electrical Engineering
Royal College Building

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