D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 37 Citations 5,608 134 World Ranking 4537 National Ranking 1493

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanical engineering
  • Control theory
  • Artificial intelligence

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 most cited work include:

  • Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study (296 citations)
  • Evaluating techniques for redirecting turbine wakes using SOWFA (232 citations)
  • A tutorial of wind turbine control for supporting grid frequency through active power control (170 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Turbine (66.19%)
  • Wake (33.81%)
  • Marine engineering (30.22%)

What were the highlights of his more recent work (between 2017-2021)?

  • Turbine (66.19%)
  • Wake (33.81%)
  • Environmental science (18.71%)

In recent papers he was focusing on the following fields of study:

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.

Between 2017 and 2021, his most popular works were:

  • Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 (51 citations)
  • The aerodynamics of the curled wake: a simplified model in view of flow control (44 citations)
  • A simulation study demonstrating the importance of large-scale trailing vortices in wake steering (43 citations)

In his most recent research, the most cited papers focused on:

  • Mechanical engineering
  • Control theory
  • Artificial intelligence

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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)

507 Citations

Evaluating techniques for redirecting turbine wakes using SOWFA

Paul A. Fleming;Pieter M.O. Gebraad;Sang Lee;Jan-Willem van Wingerden.
Renewable Energy (2014)

337 Citations

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)

295 Citations

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)

240 Citations

Field test of wake steering at an offshore wind farm

Paul Fleming;Jennifer Annoni;Jigar J. Shah;Linpeng Wang.
Wind Energy Science Discussions (2017)

187 Citations

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)

178 Citations

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)

177 Citations

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)

173 Citations

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)

162 Citations

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)

155 Citations

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