Prof. Dr. Lucy Pao 

Energy
University of Colorado Boulder, USA
Mai 2025 - Aug 2025
Fellow
Jun 2023 - Jan 2024
Fellow
Jun 2019 - Aug 2019
Fellow
Okt 2016 - Jul 2017
Fellow

Lucy Pao

Projekte & Publikationen

Kooperationspartner
Prof. Dr. Martin Kühn, ForWind - Zentrum für Windenergieforschung
Prof. Dr.-Ing. Andreas Rauh, Carl von Ossietzky Universität Oldenburg
Abstract
One of the most interesting recent breakthroughs in modern physics is related with the experimental observation of gravitational waves, produced in the collision of black holes. Emerging gravitational-wave astronomy opens a new way of investigation of neutron stars and black holes, it provides unique insight into various cosmological phenomena. On the other hand, numerical simulation of collisions of black holes and neutron stars on supercomputers allows us to compare predictions of General Relativity with experimental data, so the capacity of numerical relativity to correctly reproduce various properties of cosmological objects is dramatically improved. \r\nBlack holes, boson stars and other cosmological objects are in focus of research of many physicists, among them the research teams of “Models of Gravity”, based in the Bremen-Oldenburg region. The proposed research project is a natural continuation of our previous collaboration with members of this group over last two decades. It serves the purpose of investigation of new types of black holes with synchronized matter fields. This study promises interesting new results, which may find various astrophysical applications, in particular, providing new opportunities for observational tests of the classical theory of gravity. On the other hand, it is related with the application of new advanced computational methods, which are developed to study complicated non-linear problems in various physical systems.\r\n.
Kooperationspartner
Prof. Dr. Martin Kühn, Carl von Ossietzky Universität Oldenburg
Publikationen
Pao, L. Y. (2020). Active Power Control of Wind Power Plants for Grid Integration. J. Baillieul and T. Samad, Encyclopedia of Systems and Control. https://doi.org/10.1007/978-1-4471-5102-9_272-2
Zalkind, D. S., Ananda, G.K., Chetan, M., Martin, D.P., Bay, C.J., Johnson, K.E., Loth, E., Todd Griffith, D., Selig, M.S., and Pao, L.Y. (2019). System-Level Design Studies for Large Rotors. Wind Energy Science, 4, 595-618. https://doi.org/10.5194/wes-4-595-2019
Mehdi, V., Petrović, V., Pao, L.Y., and Kühn, M. (2021). Model Predictive Active Power Control for Optimal Structural Load Equalization in Waked Wind Farms. IEEE Transactions on Control Systems Technology, 1-15.
Braker, R. A., Luo, Y., Pao, L.Y., and Andersson, S.B. (2020). Improving the Image Acquisition Rate of an Atomic Force Microscope through Sub-sampling and Reconstruction. IEEE/ASME Transactions on Mechatronics, 2, 25, 570-580.
P. Veers, K. Dykes, E. Lantz, S. Barth, C. Bottasso, O. Carlson, A . Clifton, J. Green, P. Green, H. Holttinen, D. Laird, V. Lehtomäki, J. K. Lundquist, J. Manwell, M. Marquis, C. Meneveau, P. Moriarty, X. Munduate, M. Muskulus, J. Naughton, L. Pao, J. Paquette, J. Peinke, A. Robertson, J. S. Rodrigo, A. M. Sempreviva, J. C. Smith, A. Tuohy, and R. Wiser (2019). Grand Challenges in the Science of Wind Energy. Science, 6464, 366. https://doi.org/10.1126/science.aau2027
Chao, (Chris) Q., Lotha, E., Zalkind, D. S., Pao, L. Y., Yao, S.,Todd Griffith, D., Selig, M.S., Damiani, R. (2020). Downwind coning concept rotor for a 25 MW offshore wind turbine. Renewable Energy, 156, 314-327.
Pao, L.Y., Zalkind, D.S., Todd Griffith, D., Chetan, M., Selig, M.S., Ananda, G.K., Bayd, C.J., Stehly, T., and Lothe, E. (2021). Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy. Annual Reviews in Control. https://doi.org/10.1016/j.arcontrol.2021.02.001
Pao, L., Zalkind, D., Griffith, D., Chetan, M., Selig, M., Ananda, G., Bay, C., Stehly, T., Loth, E. (2021). Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy. Annual Reviews in Control, Elsevier, 51, 331-343.
Zalkind, D.S., Dall’Anese, E., Pao, L.Y., et. al. (2020). Automatic controller tuning using a zeroth-order optimization algorithm. Wind Energy Science, 4, 5, 1579-1600.
Braker, R. A., and Pao, L. Y. (2017). An Application of the Fast Gradient Method to Model Predictive Control of an Atomic Force Microscope X-Y Stage. Proc. IEEE Conf. Control Technology and Applications, 111-116.
Ungurán, R., Petrović, V., Pao, L., and Kühn, M. (2019). Uncertainties Identification of Blade- Mounted Lidar-Based Inflow Wind Speed Measurements for Robust Feedback-Feedforward Control Synthesis. Wind Energy Science, 4, 677-692. https://doi.org/10.5194/wes-4-677-2019