Taeseong Kim

Prof. Taeseong Kim

Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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1 April 2018 in Renewable Energy
Verified
Journal Article
Open access
JMJuan Pablo Murcia
Juan Pablo Murcia
PRPierre-Elouan Réthoré
Pierre-Elouan Réthoré
NDNikolay Dimitrov
Nikolay Dimitrov
ANAnand Natarajan
Anand Natarajan
JSJohn Dalsgaard Sørensen
John Dalsgaard Sørensen
TKTaeseong Kim
Taeseong Kim

1 November 2013 in Renewable Energy
Verified
Journal Article
Closed access
TKTaeseong Kim
Taeseong Kim
AHAnders M. Hansen
Anders M. Hansen
KBKim Branner
Kim Branner

7 January 2013 in Wind Energy
Verified
Journal Article
Closed access
DCDamien Castaignet
Damien Castaignet
TBThanasis Barlas
Thanasis Barlas
TBThomas Buhl
Thomas Buhl
NPNiels K. Poulsen
Niels K. Poulsen
JWJens Jakob Wedel‐Heinen
Jens Jakob Wedel‐Heinen
TKTaeseong Kim
Taeseong Kim

1 March 2016 in Wind Energy
Verified
Journal Article
Open access
PDF file
GPGeorg Pirrung
Georg Pirrung
HMH. A. Madsen
H. A. Madsen
TKTaeseong Kim
Taeseong Kim
JHJ. Heinz
J. Heinz
In this paper, an aerodynamic model consisting of a lifting line-based trailed vorticity model and a blade element momentum (BEM) model is described. The focus is on the trailed vorticity model, which is based on the near wake model (NWM) by Beddoes and has been extended to include the effects of downwind convection and to enable a faster and more accurate computation of the induction, especially close to the blade root and tip. The NWM is introduced to model the detailed steady and unsteady induction from the first part of the trailed vorticity behind the individual rotor blades. The model adds a radial coupling between the blade sections and provides a computation of tip loss effects that depends on the actual blade geometry and the respective operating point. Moreover, the coupling of the NWM with a BEM theory-based far wake model is presented. To avoid accounting for the near wake induction twice, the induction from the BEM model is reduced by a coupling factor, which is continuously updated during the computation to ensure a good behavior of the model in varying operating conditions. The coupled near and far wake model is compared with a simple prescribed wake lifting line model, a BEM model and full rotor computational fluid dynamics (CFD) to evaluate the steady-state results in different cases. The model is shown to deliver good results across the whole operation range of the NREL 5-MW reference wind turbine. Copyright © 2016 John Wiley & Sons, Ltd.

22 November 2022 in Renewable Energy
Verified
Journal Article
Closed access
TKTaeseong Kim
Taeseong Kim
FMF.J. Madsen
F.J. Madsen
HBH. Bredmose
H. Bredmose
APA. Pegalajar-Jurado
A. Pegalajar-Jurado

23 August 2017 in Wind Energy
Verified
Journal Article
Closed access
PDF file
CPChristian Pavese
Christian Pavese
CTCarlo Tibaldi
Carlo Tibaldi
FZFrederik Zahle
Frederik Zahle
TKTaeseong Kim
Taeseong Kim