Research output per year
Research output per year
Personal profile
Thematic collaboration
- TU Delft Wind Energy Institute (DUWIND)
Fingerprint
Dive into the research topics where S.J. Watson is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 6 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An actuatable porous disk for miniature active cluster wake control windtunnel experiments
Umans, S. A., de Vos, B., Harder, B. M., Gutknecht, J., Watson, S. J. & van Wingerden, J. W., 2026, In: Journal of Physics: Conference Series. 3224, 10 p., 032026.Research output: Contribution to journal › Conference article › Scientific › peer-review
Open AccessFile -
Condition monitoring of wind turbine drivetrains: state-of-the-art technologies, recent trends, and future outlook
Kestel, K., Chesterman, X., Zappalá, D., Watson, S., Hart, E., Carroll, J., Vidal, Y., Nejad, A. R., Sheng, S. & More Authors, 2026, In: Wind Energy Science. 11, 6, p. 2103-2155 53 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Dependence of wind-farm-induced gravity waves and wind farm performance on non-dimensional atmospheric parameters and simulation configuration
Khan, M. A., Churchfield, M. J. & Watson, S. J., 2026, In: Wind Energy Science. 11, 5, p. 1631-1652 22 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Forecast error mitigation for the ramp-constrained operation of wind farms
Iori, J., Zaaijer, M., von Terzi, D. & Watson, S., 2026, Wind farms and wakes. 11 p. (Journal of Physics: Conference Series; vol. 32224, no. 3).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile -
Impact of atmospheric turbulence on performance and loads of wind turbines: knowledge gaps and research challenges
Kosović, B., Basu, S., Berg, J., Berg, L. K., Haupt, S. E., Larsén, X. G., Peinke, J., Stevens, R. J. A. M., Veers, P. & Watson, S., 2026, In: Wind Energy Science. 11, 2, p. 509-555 47 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile12 Link opens in a new tab Citations (Scopus)106 Downloads (Pure)
Datasets
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Beamforming maps and noise spectra data of wind turbine blade leading edge erosion detection
Avallone, F. (Creator), Watson, S. J. (Creator) & Zhang, Y. (Creator), TU Delft - 4TU.ResearchData, 29 Sept 2023
DOI: 10.4121/7CEB8EB4-B447-43E4-9085-9176CC629BC5
Dataset/Software: Dataset
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Beamforming maps and noise spectra data of wind turbine blade trailing edge crack detection
Avallone, F. (Creator), Watson, S. J. (Creator) & Zhang, Y. (Creator), TU Delft - 4TU.ResearchData, 29 Sept 2023
DOI: 10.4121/3A674E38-364E-40C3-AD92-20DB98810CF2
Dataset/Software: Dataset
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ERA5 reanalysis data for Airborne Wind Energy Resource Analysis
Schmehl, R. (Creator), Schelbergen, M. (Creator), Bechtle, P. (Creator), Zillmann, U. (Creator) & Watson, S. J. (Creator), TU Delft - 4TU.ResearchData, 9 Oct 2018
DOI: 10.4121/UUID:646EAF3F-C90B-4F22-89BF-8986804DEF3C
Dataset/Software: Dataset
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Supplementary data to publication: Dependence of wind-farm-induced gravity waves and wind farm performance on non-dimensional atmospheric parameters and simulation configuration (Data & Code)
Khan, M. (Creator), Watson, S. (Creator) & Churchfield, M. (Creator), TU Delft - 4TU.ResearchData, 29 Apr 2026
DOI: 10.4121/D10F3EEC-4363-4017-AD00-69136A801657
Dataset/Software: Dataset
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Data supporting the publication: A hybrid Convolutional Autoencoder training algorithm for unsupervised bearing health indicator construction
Eftekhari Milani, A. (Creator), Zappalá, D. (Creator) & Watson, S. J. (Creator), TU Delft - 4TU.ResearchData, 23 Apr 2026
DOI: 10.4121/5B9C4942-40A2-4968-B81A-626F0322EECF
Dataset/Software: Dataset
Projects
- 1 Finished
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MERIDIONAL: Multiscale modelling for wind farm design, performance assessment and loading
Schmehl, R. (Participant), Watson, S. J. (Principal Investigator (PI)), Allaerts, D. J. N. (Participant), De Tavernier, D. A. M. (Participant), von Terzi, D. A. (Participant), Peschel, J. (Participant), Fagiano, L. (Participant), Bauer, F. (Participant), Cheng, P. W. (Participant) & Cayon, O. (Participant)
1/10/22 → 30/09/26
Project: Research
Press/Media
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Understanding how wind turbine blade damage affects air flow and noise generation
Zhang, Y., Watson, S. J., Ragni, D. & Avallone, F.
17/10/25
1 Media contribution
Press/Media: Public Engagement
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Europe bets on offshore wind and smart tech to cut energy costs
27/05/25
1 item of Media coverage
Press/Media: Public Engagement
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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)
Khoshmanesh, S., Watson, S. J. & Zarouchas, D.
16/05/23
1 item of Media coverage
Press/Media: Public Engagement
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Vier honoreringen binnen KIC-call Innovaties voor wind- en zonne-energie
Watson, S. J. & Teuwen, J. J. E.
4/05/22
1 item of Media coverage
Press/Media: Public Engagement
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Wind op zee gaat het subsidieloze tijdperk in
24/03/18
1 item of Media coverage
Press/Media: Public Engagement