What is he best known for?
The fields of study he is best known for:
- Mechanics
- Computational fluid dynamics
- Aerodynamics
His primary areas of study are Computational fluid dynamics, Mechanics, Aerospace engineering, Turbine and Rotor.
His work carried out in the field of Computational fluid dynamics brings together such families of science as Marine engineering, Turbulence and Turbine blade.
His work in Wind-turbine aerodynamics, Aerodynamics, Wind tunnel and Boundary layer is related to Aerospace engineering.
His study in Wind-turbine aerodynamics is interdisciplinary in nature, drawing from both Vortex and Solver.
In the field of Aerodynamics, his study on Aeroelasticity overlaps with subjects such as Constant.
His biological study spans a wide range of topics, including Airfoil, Wake and Actuator.
His most cited work include:
- STATE OF THE ART IN WIND TURBINE AERODYNAMICS AND AEROELASTICITY (484 citations)
- STATE OF THE ART IN WIND TURBINE AERODYNAMICS AND AEROELASTICITY (484 citations)
- General purpose flow solver applied to flow over hills (303 citations)
What are the main themes of his work throughout his whole career to date?
Niels N. Sørensen mainly investigates Computational fluid dynamics, Mechanics, Turbine, Airfoil and Marine engineering.
His Computational fluid dynamics research is multidisciplinary, relying on both Aerodynamics, Turbine blade and Wind tunnel.
His Mechanics research incorporates themes from Actuator and Rotor.
Niels N. Sørensen combines subjects such as Anemometer, Wake, Wind direction and Solver with his study of Turbine.
His Airfoil study integrates concerns from other disciplines, such as Laminar-turbulent transition, Computation, Stall and Reynolds number.
Aerospace engineering is frequently linked to Vortex in his study.
He most often published in these fields:
- Computational fluid dynamics (43.91%)
- Mechanics (40.59%)
- Turbine (28.41%)
What were the highlights of his more recent work (between 2016-2021)?
- Mechanics (40.59%)
- Computational fluid dynamics (43.91%)
- Turbine (28.41%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Mechanics, Computational fluid dynamics, Turbine, Airfoil and Environmental science.
In general Mechanics study, his work on Aerodynamics, Inflow and Wind tunnel often relates to the realm of Fluid–structure interaction, thereby connecting several areas of interest.
Niels N. Sørensen has researched Computational fluid dynamics in several fields, including Mechanical engineering, Blade, Monin–Obukhov similarity theory and K-epsilon turbulence model.
The Turbine study combines topics in areas such as Large eddy simulation, Turbulence and Wake.
His Wake study is concerned with Aerospace engineering in general.
In his work, Acoustics is strongly intertwined with Laminar-turbulent transition, which is a subfield of Airfoil.
Between 2016 and 2021, his most popular works were:
- Large-Eddy Simulation of turbine wake in complex terrain (20 citations)
- Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine (18 citations)
- A new k-epsilon model consistent with Monin-Obukhov similarity theory (13 citations)
In his most recent research, the most cited papers focused on:
- Mechanics
- Mechanical engineering
- Aerodynamics
His main research concerns Computational fluid dynamics, Turbine, Mechanics, Turbine blade and Reynolds-averaged Navier–Stokes equations.
His Computational fluid dynamics research incorporates elements of Mechanical engineering, Blade, Atmospheric instability, Monin–Obukhov length and Statistical physics.
The subject of his Turbine research is within the realm of Aerospace engineering.
His study in Mechanics concentrates on Aerodynamic force and Aerodynamics.
His work deals with themes such as Vortex and Rotor, which intersect with Turbine blade.
His research investigates the connection between Reynolds-averaged Navier–Stokes equations and topics such as Offshore wind power that intersect with problems in Marine engineering, Engineering design process, Optimization problem and Mesoscale meteorology.
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