Research output per year
Research output per year
Organisation profile
Organisation profile
Our ambition is enable reliable design solutions and predictive modeling of large offshore wind turbines and wind farms to improve performance, reduce cost of energy and standardization.
The section focuses on the development of probabilistic methods and applied data science for the reliable design of load-bearing components, as well as assess the integrity of operational turbine components within wind farms such as offshore foundations, bearings and sub-systems such as rotors, drivetrain and support structures.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water
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Dive into the research topics where Structural Integrity and Loads Assessment is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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
Profiles
Research output
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Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations
Nilsen, M. B., Quick, J., Göçmen, T., Dimitrov, N. & Réthoré, P.-E., 2026, Proceedings of The Science of Making Torque from Wind (TORQUE 2026): Wind farms and wakes. 3 ed. IOP Publishing, Vol. 3224. 11 p. 032016. (Journal of Physics: Conference Series; No. 3, Vol. 3224).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile87 Downloads (Orbit) -
Advanced digital skills demands and priorities in wind energy sector
Stoltman, E., Ludot, A., Ziolkowski, P., Stroo-Moredo, E., Dimitrov, N., Anaya-Lara, O., Göçmen, T. & Sdoukopoulos, E., 2026, (Accepted/In press) In: Scientific Reports.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
A framework to evaluate structural fatigue accumulation and health metrics of wind farms under different operational strategies
Pettas, V., Gräfe, M., Dirik, D. G., Ramaswamy, H. R., Riva, R., Quick, J. & Réthoré, P.-E., 2026, Proceedings of The Science of Making Torque from Wind (TORQUE 2026): Wind farms and wakes. IOP Publishing, 11 p. 032079. (Journal of Physics: Conference Series; No. 3, Vol. 3224).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile15 Downloads (Orbit)
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Development and Implementation of an Autonomous Decision Support System for Optimized Maintenance in Wind Turbine Infrastructure
Carvalho Loureiro, S. (PhD Student), Dimitrov, N. (Main Supervisor) & Kolios, A. (Supervisor)
15/10/2025 → 14/10/2028
Project: PhD
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Design of automatic maintenance recommendation system for wind turbine components
Kapenis, A. (PhD Student), Kolios, A. (Main Supervisor) & Dimitrov, N. (Supervisor)
01/09/2025 → 31/08/2028
Project: PhD
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Reinforcement Learning based Wind Farm Control Optimisation
Åstrand, T. O. B. (PhD Student), Göçmen, T. (Main Supervisor), Dimitrov, N. (Supervisor) & Réthoré, P.-E. M. (Supervisor)
01/02/2025 → 31/01/2028
Project: PhD
Activities
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Synergies Workshop
Pettas, V. (Panel member)
5 Nov 2025Activity: Attending an event › Participating in or organising workshops, courses, seminars etc.
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Masterclass on wind farm control
Pettas, V. (Guest lecturer)
3 Oct 2025Activity: Talks and presentations › Guest lectures, external teaching and course activities at other universities
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Rushil S. Mahajan, Accurate prediction of the buckling capacity of monopiles using finite element-based shell buckling analysis, Master thesis
Mikkelsen, L. P. (External examiner), Kolios, A. (Supervisor), Bjerre Nielsen, M. (Supervisor) & Kücükyildiz, Ö. C. (Supervisor)
2024Activity: Examinations and supervision › Supervisor activities
Press/Media
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DTU-forskere: Mangel på udtjente vindmøllevinger truer opbygningen af genanvendelsesindustri
Birkner, E., Beauson, J. & Abrahamsen, A. B.
06/01/2025
1 Media contribution
Press/Media: Press / Media