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Technical University of Munich

Adrien Guilloré

Technische Universität München
Boltzmannstr. 15
Room 2728
85748 Garching b. München
Tel.: +49 (0)89 289 16677
Email: adrien.guillore@tum.de

Research Interests

  • Simulation for load-aware wind farm control
  • Systems engineering

  • Life-Cycle Assessment for eco-conscious design of wind energy systems

Curriculum Vitae

  • 2017: B.Sc. in Engineering Sciences at Ecole des Mines de Nancy (ENSMN), Nancy, France

  • 2020: M.Sc. in Science and Executive Engineering at Ecole des Mines de Nancy (ENSMN), Nancy, France. Major in Energy, Processes and Environmental Engineering.

  • 2020: M.Sc. in Power Engineering (double degree program) at Technische Universität München. Master's thesis: "Assessment of life-cycle environmental impact, and multi-objective design of wind turbines"

  • 2021-present: PhD Candidate at Chair of Wind Energy

Publications

  • Vad, A., Guilloré, A., Anand, A., Pettas, V., Shah, A. H., Lizarraga-Saenz, I., Aparicio-Sanchez, M., Eguinoa, I., Conti Gost, N., Tsaklis, I., Frère, A., Hermans, K. W., Kamau, J. K., Dimitrov, N., Göçmen, T., and Bottasso, C. L.: Modeling wind farm response: a modular, integrated, and multi-stakeholder approach, Wind Energ. Sci. Discuss. [preprint], doi.org/10.5194/wes-2026-45, in review, 2026.
  • Guilloré, A., Chaudhary, A., Anand, A., Vad, A., Shah, A. H., Pettas, V., Göçmen, T. & Bottasso, C. L. (2026). Efficient generation of location-agnostic wind turbine load surrogate models using wake slices. In Journal of Physics: Conference Series (Vol. 3224, Issue 3, p. 032106). IOP Publishing. https://doi.org/10.1088/1742-6596/3224/3/032106
  • Ramaswamy, H., Guilloré, A., Riva, R., Quick, J., Pettas, V., Murcia, J. P., Campagnolo, F., Bottasso, C. L. & Réthoré, P. E. (2026). Comparison of wind turbine load surrogate model performances with multi-scale local inflow parameterization. In Journal of Physics: Conference Series (Vol. 3224, Issue 3, p. 032073). IOP Publishing. https://doi.org/10.1088/1742-6596/3224/3/032073
  • Kainz, S., Zhu, Z., Guilloré, A., Vad, A. & Bottasso, C. L. (2026). Balancing energy yield and turbine fatigue: a load-aware approach to wind farm layout optimization. In Journal of Physics: Conference Series (Vol. 3224, Issue 3, p. 032041). IOP Publishing. https://doi.org/10.1088/1742-6596/3224/3/032041
  • Bay, C. J., Guilloré, A., Bortolotti, P., Frontin, C., Sinner, M., Thedin, R. & Bottasso, C. L. (2026). Impacts on damage equivalent loads from plant optimization using artificial neural network surrogate models. In Journal of Physics: Conference Series (Vol. 3224, Issue 3, p. 032125). IOP Publishing. https://doi.org/10.1088/1742-6596/3224/3/032125
  • Lokken, T. S., Baricchio, M., Gebraad, P. M. O., Guilloré, A. & van Wingerden, J.-W. (2026). Tuning of a holistic synchronous multi-objective framework for wind farm flow control. In Journal of Physics: Conference Series (Vol. 3224, Issue 3, p. 032117). IOP Publishing. https://doi.org/10.1088/1742-6596/3224/3/032117
  • Vad, A., Shah, A. H., Guilloré, A., Dröse, M. & Bottasso, C. L. (2026). Turbine-specific lifetime consumption estimation by integrating environmental data with a farm flow model. In Journal of Physics: Conference Series (Vol. 3224, Issue 3, p. 032064). IOP Publishing. https://doi.org/10.1088/1742-6596/3224/3/032064
  • Shah, A. H., Vad, A., Guilloré, A. & Bottasso, C. L. (2026). Towards a load surrogate model for low-frequency fatigue cycles in wind turbines. In Journal of Physics: Conference Series (Vol. 3224, Issue 6, p. 062064). IOP Publishing. https://doi.org/10.1088/1742-6596/3224/6/062064
  • Kainz, S., Scherzl, A., Guilloré, A., Anand, A. & Bottasso, C. L. (2025). An initial study on the environmental value of wind farm control. In Journal of Physics: Conference Series (Vol. 3131, EERA DeepWind Conference 2025 15/01/2025 - 17/01/2025 Trondheim, Norway). https://doi.org/10.1088/1742-6596/3131/1/012044
  • Anand, A., Braunbehrens, R., Guilloré, A. & Bottasso, C. L.: Economic lifetime-aware wind farm control. Wind Energ. Sci.,  Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2025-67, in review, 2025.
  • Guilloré, A., Campagnolo, F. & Bottasso, C. L. (2024). A control-oriented load surrogate model based on sector-averaged inflow quantities: capturing damage for unwaked, waked, wake-steering and curtailed wind turbines. In Journal of Physics: Conference Series (Vol. 2767, Issue 3, p. 032019). IOP Publishing. https://doi.org/10.1088/1742-6596/2767/3/032019
  • ​​​​​​​Tamaro, S., Guilloré, A., Anand, A., Mühle, F. V., Campagnolo, F., & Bottasso, C. L. (2024). Validation of induction/steering reserve-boosting active power control by a wind tunnel experiment with dynamic wind direction changes. In Journal of Physics: Conference Series (Vol. 2767, Issue 9, p. 092067). IOP Publishing. https://doi.org/10.1088/1742-6596/2767/9/092067
  • Di Cave, J., Braunbehrens, R., Krause, J., Guilloré, A. & Bottasso, C. L. (2024). Closed-loop coupling of a dynamic wake model with a wind inflow estimator. In Journal of Physics: Conference Series (Vol. 2767, Issue 3, p. 032034). IOP Publishing. https://doi.org/10.1088/1742-6596/2767/3/032034
  • Kainz, S., Guilloré, A. & Bottasso, C. L. (2024). How do technological choices affect the economic and environmental performance of offshore wind farms? In Journal of Physics: Conference Series (Vol. 2767, Issue 8, p. 082005). IOP Publishing. https://doi.org/10.1088/1742-6596/2767/8/082005
  • Canet, H., Guilloré, A., and Bottasso, C. L. (2023): The eco-conscious wind turbine: design beyond purely economic metrics, Wind Energ. Sci., 8, 1029–1047, doi.org/10.5194/wes-8-1029-2023
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