Guo, F. ., & Schlipf, D. . (2023). Assessing lidar-assisted feedforward and multivariable feedback controls for large floating wind turbines. Wind Energy Science, 8, 1299–1317. http://doi.org/10.5194/wes-8-1299-2023
Molleri, J. ., Mendes, E. ., Petersen, K. ., & Felderer, M. . (2023). Determining a core view of research quality in empirical software engineering. Computer Standards \& Interfaces, 84, 103688.
Jauch, C. ., & Emeis, S. . (2022). Atmospheric Irrigation with Wind Turbines. Journal of Physics: Conference Series, 2265, 042066. http://doi.org/10.1088/1742-6596/2265/4/042066 (Original work published 2025)
Abstract
In this paper, atmospheric irrigation with wind turbines is proposed. This technology addresses the problem of water scarcity by enhancing the natural water circuit in the atmosphere with wind turbines. There are three different operating modes conceivable for this technology. In two of these the wind turbines interact with the ground in their near wake. The third operating mode is the one which is discussed in this paper, and it aims at transporting water potentially over long distances. The basic working principle, the utilized physical phenomena and the basic design of the technology are introduced. The equations governing the hydraulic and the hydrological effects are presented. The goal of this paper is to quantify the necessary power and the necessary amount of water when wind turbines humidify a certain volume of air in the atmosphere. For this purpose, the power and water demand are assessed, both in a generalized manner and for a realistic scenario. It is concluded that the proposed system can achieve the objective in most wind speed conditions. However, the required amount of water is substantial. Therefore, an alternative source of fresh water has to be found when the system is used on a comparably large scale.
Guo, F. ., Schlipf, D. ., Zhu, H. ., Platt, A. ., Cheng, P. W., & Thomas, F. . (2022). Updates on the OpenFAST Lidar Simulator. In Journal of Physics: Conference Series (Bd. 2265, S. 042030). http://doi.org/10.1088/1742-6596/2265/4/042030 (Original work published 2025)
Steinacker, H. ., Lemmer, F. ., Raach, S. ., Schlipf, D. ., & Cheng, P. W. (2022). Efficient multibody modeling of offshore wind turbines with flexible substructures. In Journal of Physics: Conference Series (Bd. 2265, S. 042007). http://doi.org/10.1088/1742-6596/2265/4/042007 (Original work published 2025)
Miquelez-Madariaga, I. ., Schlipf, D. ., Elso, J. ., Guo, F. ., & de Corcuera, A. D. \iaz. (2022). LIDAR based multivariable $\mathscrH_\infty$ feedforward control for load reduction in wind turbines. In Journal of Physics: Conference Series (Bd. 2265, S. 022070). http://doi.org/10.1088/1742-6596/2265/2/022070 (Original work published 2025)
Alhrshy, L. ., & Jauch, C. . (2022). A Resource-Efficient Design for a Flexible Hydraulic-Pneumatic Flywheel in Wind Turbine Blades. Journal of Physics: Conference Series, 2265, 032018. http://doi.org/10.1088/1742-6596/2265/3/032018 (Original work published 2025)
Abstract
The utilization of renewable energy resources significantly increases in order to reduce the impact of climate change. Wind turbines are one of the most important renewable energy sources and have an important role to play in power generation. They do, however, have to serve the increasingly variable demands of the grid. Some of these demands cannot be satisfied with the standard control mechanisms of state-of-the-art wind turbines. A hydraulic-pneumatic flywheel in a wind turbine rotor is one mechanism which, in addition to its various grid services, can also reduce the mechanical loads on the structure of a wind turbine. However, the installation of such a flywheel into rotor blades increases the weight of the blades. This paper focusses on the development of a design method for reducing the additional mass of the flywheel. This method incorporates the piston accumulators of the flywheel in the blade support structure, which allows for the replacement of parts of the blade spar caps with composite material from the piston accumulators. This enables the flywheel to be installed into the rotor blades without making the wind turbine significantly heavier.
Chen, Y. ., Guo, F. ., Schlipf, D. ., & Cheng, P. W. (2022). Four-dimensional wind field generation for the aeroelastic simulation of wind turbines with lidars. Wind Energy Science, 7, 539–558. http://doi.org/10.5194/wes-7-539-2022 (Original work published 2025)
Guo, F. ., Schlipf, D. ., Zhang, Z. ., & Cheng, P. W. (2022). Investigation on the wind preview quality for lidar-assisted wind turbine control under wake conditions. In American Control Conference. Atlanta, GA, USA. http://doi.org/10.23919/ACC53348.2022.9867301 (Original work published 2025)