
Prof.dr. S.J. (Simon) Watson
Prof.dr. S.J. (Simon) Watson
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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2025
A hybrid Convolutional Autoencoder training algorithm for unsupervised bearing health indicator construction
Ali Eftekhari Milani / Donatella Zappalá / Simon J. Watson
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2024
Boosting field data using synthetic SCADA datasets for wind turbine condition monitoring
Ali Eftekhari Milani / Donatella Zappalá / Francesco Castellani / Simon Watson
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2024
Design drivers for the storage system of baseload hybrid power plants
J. Iori / M B Zaaijer / D.A. von Terzi / S.J. Watson
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2024
Dries Allaerts, 1989–2024
Majid Bastankhah / M. Becker / Matthew Churchfield / Caroline Draxl / Jay Prakash Goit / M.A. Khan / Luis A Martínez-Tossas / J.W. van Wingerden / S.J. Watson / More Authors
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2024
Early detection of impact fatigue damage in an adhesively-bonded connection using acoustic emission
S. Khoshmanesh / S. J. Watson / D. Zarouchas
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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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2024-01-01 - 2026-12-31
Advisering/onderzoek en overig
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2024-12-20 - 2026-11-20
Advisering/onderzoek en overig
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2018-12-03 - 2025-12-31
Advisering/onderzoek en overig