Papatheocharous, E. ., Petersen, K. ., Axelsson, J. ., Wohlin, C. ., Carlson, J. ., Ciccozzi, F. ., … Cicchetti, A. . (2017). The GRADE decision canvas for classification and reflection on architecture decisions. In 12th International Conference on Evaluation of Novel Approaches to Software Engineering ENASE17, 28 Apr 2017, Porto, Portugal, 28-29 April, 2017, Porto, Portugal (S. 187–194).
Wortmann, S. ., Geisler, J. ., & Konigorski, U. . (2016). Lidar-Assisted Feedforward Individual Pitch Control to Compensate Wind Shear and Yawed Inflow. Journal of Physics: Conference Series, 753, 052014. http://doi.org/10.1088/1742-6596/753/5/052014 (Original work published 2024)
Abstract
Lidar-assisted individual pitch control (IPC) has been investigated occasionally in recent years, focusing on the compensation of (vertical) wind shear as the main disturbance. Since yawed inflow might cause significant load fluctuations too, it is worth to compensate. Load patterns caused by yawed inflow significantly differ from those caused by wind shear, requiring a more sophisticated control algorithm. In this paper a lidar-assisted cyclic pitch feedforward control to compensate wind shear and yawed inflow is presented. The main objective is the analysis of the load patterns through a simplified aerodynamic model, which among other things focuses on a reasonable representation of the skewed wake effect. Establishing a suitable structure of the feedforward controller follows. The paper concludes with a comparison of fatigue load reductions achieved by three different controllers. Firstly, a well-known feedback individual pitch control; secondly, a feedforward controller for pure wind shear compensation and thirdly, this new feedforward controller to compensate wind shear and yawed inflow. The last two controllers use ideal lidar measurement chains.
Lemmer, F. ., Raach, S. ., Schlipf, D. ., & Cheng, P. W. (2016). Parametric wave excitation model for floating wind turbines. In Energy Procedia (Bd. 94, S. 290–305). Trondheim, Norway. http://doi.org/10.1016/j.egypro.2016.09.186 (Original work published 2024)
Schlipf, D. ., & Raach, S. . (2016). Turbulent extreme event simulations for Lidar-assisted wind turbine control. In Journal of Physics: Conference Series (Bd. 753, S. 052011). Munich, Germany. http://doi.org/10.1088/1742-6596/753/5/052011 (Original work published 2024)
Lemmer, F. ., Schlipf, D. ., & Cheng, P. W. (2016). Control design methods for floating wind turbines for optimal disturbance rejection. In Journal of Physics: Conference Series (Bd. 753, S. 092006). Munich, Germany. http://doi.org/10.1088/1742-6596/753/9/092006 (Original work published 2024)
Kiraz, M. S., & Uzunkol, O. . (2016). Efficient and verifiable algorithms for secure outsourcing of cryptographic computations. International Journal of Information Security, 15, 519–537. http://doi.org/10.1007/s10207-015-0308-7 (Original work published 2024)
Kaldemeyer, C. ., Boysen, C. ., & Tuschy, I. . (2016). Compressed Air Energy Storage in the German Energy System - Status Quo & Perspectives. Energy Procedia, 99, 298–313. http://doi.org/10.1016/j.egypro.2016.10.120 (Original work published 2024)
Lübben, R. ., & Fidler, M. . (2016). On Characteristic Features of the Application Level Delay Distribution of TCP Congestion Avoidance. In ICC. http://doi.org/10.1109/ICC.2016.7510785 (Original work published 2024)