Thorsten Stoesser

Prof. Thorsten Stoesser

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 April 2017 in Fluids
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Journal Article
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Carlo GualtieriCarlo Gualtieri
Carlo Gualtieri
Athanasios AngeloudisAthanasios Angeloudis
Athanasios Angeloudis
FBFabian A. Bombardelli
Fabian A. Bombardelli
SJSanjeev Kumar Jha
Sanjeev Kumar Jha
Thorsten StoesserThorsten Stoesser
Thorsten Stoesser
Computational Fluid Dynamics (CFD) has consolidated as a tool to provide understanding and quantitative information regarding many complex environmental flows. The accuracy and reliability of CFD modelling results oftentimes come under scrutiny because of issues in the implementation of and input data for those simulations. Regarding the input data, if an approach based on the Reynolds-Averaged Navier-Stokes (RANS) equations is applied, the turbulent scalar fluxes are generally estimated by assuming the standard gradient diffusion hypothesis (SGDH), which requires the definition of the turbulent Schmidt number, Sct (the ratio of momentum diffusivity to mass diffusivity in the turbulent flow). However, no universally-accepted values of this parameter have been established or, more importantly, methodologies for its computation have been provided. This paper firstly presents a review of previous studies about Sct in environmental flows, involving both water and air systems. Secondly, three case studies are presented where the key role of a correct parameterization of the turbulent Schmidt number is pointed out. These include: (1) transverse mixing in a shallow water flow; (2) tracer transport in a contact tank; and (3) sediment transport in suspension. An overall picture on the use of the Schmidt number in CFD emerges from the paper.

12 September 2018 in Flow, Turbulence and Combustion
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POPablo Ouro
Pablo Ouro
Thorsten StoesserThorsten Stoesser
Thorsten Stoesser
A large-eddy simulation (LES) of a laboratory-scale horizontal axis tidal stream turbine operating over an irregular bathymetry in the form of dunes is performed. The Reynolds number based on the approach velocity and the chord length of the turbine blades is approximately 60,000. The simulated turbine is a 1:30 scale model of a full-scale prototype and both turbines operate at very similar tip-speed ratio of λ ≈ 3. The simulations provide quantitative evidence of the effect of seabed-induced turbulence on the instantaneous performance and structural loadings of the turbine revealing how large-scale, energetic turbulence structures affect turbine performance and bending moments of the rotor blades. The data analysis shows that wake recovery is notably enhanced in comparison to the same turbine operating above a flat-bed and this is due to the higher turbulence levels generated by the dune. The results demonstrate the need for studying in detail the flow and turbulence characteristics at potential tidal turbine deployment sites and to incorporate observed large-scale velocity and pressure fluctuations into the structural design of the turbines.

9 September 2015 in Water
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Journal Article
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Thorsten StoesserThorsten Stoesser
Thorsten Stoesser
RMRichard Mcsherry
Richard Mcsherry
Bruño Fraga BugalloBruño Fraga Bugallo
Bruño Fraga Bugallo
Large-eddy simulations (LES) of the flow over a non-uniformly roughened channel bed are carried out to study the effect of non-uniform bed roughness on turbulence driven secondary currents and turbulence statistics. The channel bed is comprised of alternating rough and smooth strips, the width of which corresponds to the water depth. The Reynolds number based on hydraulic radius and bulk velocity is 34,000. The LES are successfully validated using experimental data. The secondary flow and bed roughness have a significant effect on the streamwise velocity and second order turbulence statistics. Turbulence is enhanced over rough strips and suppressed over smooth strips. Significant lateral momentum transfer takes place due to both advection and turbulence. The bed shear stresses over the smooth strips are approximately four times less than over the rough strips a result of near bed low momentum fluid being transported from the rough strips to the smooth strips and high momentum fluid being convected from the surface towards the bed. The most significant terms in the streamwise momentum equation are quantified and discussed with regard to momentum transfer.

1 January 2022 in Ocean Engineering
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Journal Article
Closed access
XGXingsen Guo
Xingsen Guo
Thorsten StoesserThorsten Stoesser
Thorsten Stoesser
Ting-kai NianTing-kai Nian
Ting-kai Nian
YJYonggang Jia
Yonggang Jia
XLXiaolei Liu
Xiaolei Liu

13 March 2018 in Journal of Fluids Engineering
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POPablo Ouro
Pablo Ouro
Thorsten StoesserThorsten Stoesser
Thorsten Stoesser
LRLuis Ramirez
Luis Ramirez
This paper presents large eddy simulations (LESs) of symmetric and asymmetric (cambered) airfoils forced to undergo deep dynamic stall due to a prescribed pitching motion. Experimental data in terms of lift, drag, and moment coefficients are available for the symmetric NACA 0012 airfoil and these are used to validate the LESs. Good agreement between computed and experimentally observed coefficients is found confirming the accuracy of the method. The influence of foil asymmetry on the aerodynamic coefficients is analyzed by subjecting a NACA 4412 airfoil to the same flow and pitching motion conditions. Flow visualizations and analysis of aerodynamic forces allow an understanding and quantification of dynamic stall on both straight and cambered foils. The results confirm that cambered airfoils provide an increased lift-to-drag ratio and a decreased force hysteresis cycle in comparison to their symmetric counterparts. This may translate into increased performance and lower fatigue loads when using cambered airfoils in the design of vertical axis turbines (VATs) operating at low tip-speed ratios.

19 December 2017 in Journal of Geophysical Research: Earth Surface
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HFH. W. Fang
H. W. Fang
YLY. Liu
Y. Liu
Thorsten StoesserThorsten Stoesser
Thorsten Stoesser