Wind & Marine Energy Systems & StructuresAcademic Partners

Giorgio Zorzi

PhD Title - Improved yield from wind turbines through online anomaly detection and compensation

Email - giorgio.zorzi@strath.ac.uk

Start Date - October 2014

Degree - MSc Electric Engineering, University of Padua; BSc Electrotechnics Engineering, University of Padua

Research Bio

The aim of the work is the development, implementation and assessment of various detection and compensation techniques to make best use of all the data that should be available to a wind turbine control system. The work should look to use measurements already collected on wind turbines or can be collected by standard cheap means. The work will look to utilise advanced algorithms or data processing techniques to make better use of all the available data. The work will also seek to assess the actual benefits, performing a cost/benefit analysis of the solutions.