Paul Fleming focuses on Turbine, Marine engineering, Wake, Computational fluid dynamics and Offshore wind power. Many of his research projects under Turbine are closely connected to Environmental science with Environmental science, tying the diverse disciplines of science together. His research in Marine engineering intersects with topics in Wind speed, Control theory, Blade pitch, Rotor and Structural load.
His work carried out in the field of Control theory brings together such families of science as Lidar, Error detection and correction, Wind direction and Nacelle. His Offshore wind power research includes elements of Wind engineering and Energy management. His Control system research is multidisciplinary, incorporating elements of Frequency grid and Yaw control.
His scientific interests lie mostly in Turbine, Wake, Marine engineering, Control theory and Environmental science. His Turbine research is multidisciplinary, incorporating perspectives in Wind speed, Wind direction, Control engineering, Control theory and Lidar. In his work, Automatic frequency control is strongly intertwined with Automotive engineering, which is a subfield of Control engineering.
As a part of the same scientific study, Paul Fleming usually deals with the Wake, concentrating on Inflow and frequently concerns with Deflection. His Marine engineering research incorporates themes from Offshore wind power, Computational fluid dynamics, Atmospheric instability, Control and Structural load. His studies deal with areas such as Blade pitch and Rotor as well as Control theory.
Paul Fleming mainly investigates Turbine, Wake, Environmental science, Marine engineering and Wind direction. His Turbine study combines topics in areas such as Control theory, SCADA, Inflow and Aerodynamics. His Wake study combines topics from a wide range of disciplines, such as Vortex, Flow and Control theory.
Paul Fleming interconnects Work and Rotor in the investigation of issues within Control theory. His Marine engineering research incorporates elements of Control system, Stress, Atmospheric instability and Tuned mass damper, Damper. His research investigates the connection between Wind direction and topics such as Turbulence kinetic energy that intersect with issues in Cost of electricity by source.
The scientist’s investigation covers issues in Wake, Turbine, Marine engineering, Control theory and Inflow. His biological study spans a wide range of topics, including Vortex, Aerodynamics and Actuator, Control theory. Paul Fleming connects Turbine with Environmental science in his study.
The concepts of his Marine engineering study are interwoven with issues in Deflection and Atmospheric instability. The various areas that Paul Fleming examines in his Deflection study include Control system, Lidar and Nacelle. The study incorporates disciplines such as Stress, Structural load, Wind direction and Floating wind turbine in addition to Control theory.
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Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study
P. M. O. Gebraad;F. W. Teeuwisse;J. W. van Wingerden;Paul A. Fleming.
Wind Energy (2016)
Evaluating techniques for redirecting turbine wakes using SOWFA
Paul A. Fleming;Pieter M.O. Gebraad;Sang Lee;Jan-Willem van Wingerden.
Renewable Energy (2014)
A tutorial of wind turbine control for supporting grid frequency through active power control
Jacob Aho;Andrew Buckspan;Jason Laks;Paul Fleming.
advances in computing and communications (2012)
Simulation comparison of wake mitigation control strategies for a two-turbine case
Paul Fleming;Pieter M.O. Gebraad;Sang Lee;Jan-Willem van Wingerden.
Wind Energy (2015)
Field test of wake steering at an offshore wind farm
Paul Fleming;Jennifer Annoni;Jigar J. Shah;Linpeng Wang.
Wind Energy Science Discussions (2017)
Wind plant system engineering through optimization of layout and yaw control
Paul A. Fleming;Andrew Ning;Pieter M. O. Gebraad;Katherine Dykes.
Wind Energy (2016)
Maximization of the annual energy production of wind power plants by optimization of layout and yaw‐based wake control
Pieter Gebraad;Jared J. Thomas;Andrew Ning;Paul Fleming.
Wind Energy (2017)
Analysis of axial‐induction‐based wind plant control using an engineering and a high‐order wind plant model
Jennifer Annoni;Pieter M. O. Gebraad;Andrew K. Scholbrock;Paul A. Fleming.
Wind Energy (2016)
Use of SCADA Data for Failure Detection in Wind Turbines
Kyusung Kim;Girija Parthasarathy;Onder Uluyol;Wendy Foslien.
Presented at the 2011 Energy Sustainability Conference and Fuel Cell Conference, 7-10 August 2011, Washington, D.C. (2011)
A tutorial on control-oriented modeling and control of wind farms
S. Boersma;B.M. Doekemeijer;P.M.O. Gebraad;P.A. Fleming.
advances in computing and communications (2017)
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