Prof.dr. S.J. (Simon) Watson
Prof.dr. S.J. (Simon) Watson
Contact
Profiel
Public Professional Profiles
Projecten
He has been involved in many national and international research projects including the UK EPSRC Supergen Wind consortium, two EU Marie Curie ITNs: WAUDIT (wind resource assessment) and AWESOME (wind turbine operations and maintenance), and the present EU X-Rotor and WINDEXT projects.
Expertise
Prof Watson's area of research expertise are in the areas of:
- Wind energy systems
- Wind climate, past, present and future
- Wind resource assessment
- Wind turbine wakes
- Wind turbine reliability and condition monitoring.
Biografie
Simon Watson received a B.Sc. in physics from Imperial College, London in 1987 and a Ph.D. from Edinburgh University in 1990. He has been working in the field of wind energy since 1990 and began his career at the Energy Research Unit of the Rutherford Appleton Laboratory. In 1999, he then moved to what later became Good Energy, a supplier of green electricity to domestic and small commercial customers. In 2001, he was appointed as a senior lecturer at the Centre for Renewable Energy Systems Technology at Loughborough University and in 2010, he was made Professor of Wind Energy. In 2017, he moved to TU Delft to take up the position of Professor of Wind Energy Systems and Director of the TU Delft Wind Energy Institute (DUWIND).
Expertise
Publicaties
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2024
Multi-objective calibration of vertical-axis wind turbine controllers: balancing aero-servo-elastic performance and noise
L. Brandetti / S.P. Mulders / R. Merino Martinez / S.J. Watson / J.W. van Wingerden
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2023
A decision-tree-based measure–correlate–predict approach for peak wind gust estimation from a global reanalysis dataset
Serkan Kartal / Sukanta Basu / Simon J. Watson
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2023
Analysis and multi-objective optimisation of wind turbine torque control strategies
L. Brandetti / S.P. Mulders / Y. Liu / S.J. Watson / J.W. van Wingerden
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2023
Handbook of Wind Resource Assessment
Simon Watson
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2023-5
Leading edge erosion detection for a wind turbine blade using far-field aerodynamic noise
Yanan Zhang / Francesco Avallone / Simon Watson
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Onderwijs 2023
Onderwijs 2022
Media
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2023-05-16
Researchers from Delft University of Technology Discuss Findings in Wind Turbines (New Indicator for Damage Localization In a Thick Adhesive Joint of a Composite Material Used In a Wind Turbine Blade)
Verscheen in: Energy Daily News
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2022-05-04
Vier honoreringen binnen KIC-call Innovaties voor wind- en zonne-energie
Verscheen in: NWO
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2018-03-24
Wind op zee gaat het subsidieloze tijdperk in
Verscheen in: PowerSwitch
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2018-03-04
De kosten van windenergie kunnen nog verder omlaag
Verscheen in: Duurzaam Nieuws
Nevenwerkzaamheden
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2018-12-03 - 2024-12-03
Advisering/onderzoek en overig
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2018-12-03 - 2024-12-03
Advisering/onderzoek en overig
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2017-06-01 - 2024-06-01
Advisering/onderzoek en overig