M
Morten Lybech Thøgersen
Researcher at Aalborg University
Publications - 13
Citations - 1029
Morten Lybech Thøgersen is an academic researcher from Aalborg University. The author has contributed to research in topics: Wind power & Turbine. The author has an hindex of 7, co-authored 13 publications receiving 830 citations.
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Journal ArticleDOI
Analytical modelling of wind speed deficit in large offshore wind farms
Sten Tronæs Frandsen,Rebecca Jane Barthelmie,Sara C. Pryor,Ole Rathmann,Søren Ejling Larsen,Jørgen Højstrup,Morten Lybech Thøgersen +6 more
TL;DR: In this paper, the authors proposed a model for the wind speed deficit in wind farms and extended it to include both small and large wind farms extending over large areas, and the model handles a regular array geometry with straight rows of wind turbines and equidistant spacing between units in each row.
Journal Article
Integrated fatigue loading for wind turbines in wind farms by combining ambient turbulence and wakes
Journal ArticleDOI
Surrogate model uncertainty in wind turbine reliability assessment
René M. M. Slot,John Dalsgaard Sørensen,Bruno Sudret,Lasse Svenningsen,Morten Lybech Thøgersen +4 more
TL;DR: An improved understanding of utilizing PCE and Kriging in fatigue reliability assessment may significantly benefit decision support in probabilistic design of wind turbines.
Journal ArticleDOI
Assessment of Wind Turbine Structural Integrity using Response Surface Methodology
Henrik Stensgaard Toft,Lasse Svenningsen,Wolfgang Moser,John Dalsgaard Sørensen,Morten Lybech Thøgersen +4 more
TL;DR: In this article, two response surfaces are presented, formulated based on Taylor approximation and Central Composite Design, for each response surface, the model uncertainty is estimated for different combinations of the wind climate parameters, along with the statistical uncertainty introduced by a limited number of random seeds.
Journal ArticleDOI
Uncertainty in wind climate parameters and their influence on wind turbine fatigue loads
Henrik Stensgaard Toft,Lasse Svenningsen,John Dalsgaard Sørensen,Wolfgang Moser,Morten Lybech Thøgersen +4 more
TL;DR: In this paper, a probabilistic framework for assessment of the structural reliability level of wind turbines in fatigue loading is presented, where uncertainty related to the wind climate parameters depends highly on the presence, duration and quality of on-site wind measurements, and the perturbations introduced by flow modelling.