Th. Lutz
University of Stuttgart
24 Papers
64 Citations
Th. Lutz is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Aerodynamics & Turbine. The author has an hindex of 11, co-authored 24 publications.
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Papers
Final report of IEA Task 29, Mexnext (Phase 1): Analysis of Mexico wind tunnel measurements
J.G. Schepers,Helge Aagaard Madsen,Th. Lutz,K. Boorsma,T. Cho,S. Gomez-Iradi,P. Schaffarczyk,A. Jeromin,Wen Zhong Shen,K. Meister,Bernhard Stoevesandt,Scott Schreck,Daniel Micallef,Ricardo Pereira,Tonio Sant,Niels N. Sørensen +15 more
- 01 Jan 2012
TL;DR: In the first phase of the IEA Task 29 Mexnext as mentioned in this paper, a total of 20 organisations from 11 different countries collaborated in analysing the measurements which have been taken in the EU project ‘Mexico’.
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Final Report of IEA Wind Task 29 Mexnext (Phase 3)
J.G. Schepers,Th. Lutz,K. Boorsma,S. Gomez-Iradi,I. Herraez,Luca Oggiano,H. Rahimi,P. Schaffarczyk,Georg Pirrung,Helge Aa. Madsen,Wen Zhong Shen,Pascal Weihing,Energieonderzoek Centrum Nederland +12 more
- 01 Jan 2018
TL;DR: The results from the third phase of the IEA TCP Wind Task 29 Mexnext, denoted as Mexnext-III, in which 22 parties from 10 countries participated are described in this paper.
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Aeroelastic analysis of 10 MW wind turbine using CFD–CSD explicit FSI-coupling approach
TL;DR: In this article, the aeroelastic response of the generic DTU 10 MW horizontal-axis wind turbine blades is investigated employing a time-accurate CFD-CSD loose coupling approach.
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Validations and improvements of airfoil trailing‐edge noise prediction models using detailed experimental data
M. Kamruzzaman,Th. Lutz,W. Würz,Wen Zhong Shen,Wei Jun Zhu,Martin Otto Laver Hansen,Franck Bertagnolio,H. Aa. Madsen +7 more
TL;DR: In this paper, an extensive assessment and a step by step validation of different turbulent boundary-layer trailingedge noise prediction schemes developed within the European Union funded wind energy project UpWind is described.
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Semi-Empirical Modeling of Turbulent Anisotropy for Airfoil Self-Noise Predictions
TL;DR: In this paper, an approach to derive anisotropic turbulence properties from standard Reynolds-averaged Navier-Stokes simulations is proposed and validated and applied to a turbulent boundary-layer trailing edge interaction noise prediction method (Rnoise) to analyze the impact of anisotropy on the total predicted noise spectra.
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