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D. Cabezón

Observed names: Cabezon, Daniel, Cabezón Martínez, Daniel, Cabezón, Daniel, D Cabezón, D. Cabezon, Daniel Cabezon, Daniel Cabezón
OpenAlex ID: A5039367215
Modeling wake effects in large wind farms in complex terrain: the problem, the methods and the issues
2011 · E. S. Politis, J. Prospathopoulos, et al. · Wind Energy · 182
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Modelling and measurements of wakes in large wind farms
2007 · R J Barthelmie, O Rathmann, et al. · Journal of Physics Conference Series · 126
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Comparison of turbulence models for the computational fluid dynamics simulation of wind turbine wakes in the atmospheric boundary layer
2011 · D. Cabezón, E. Migoya, et al. · Wind Energy · 119
Flow and wakes in large wind farms in complex terrain and offshore
2008 · R. J. Barthelmie, E. S. Politis, et al. · Hispana · 36
A Parallel CFD Model for Wind Farms
2013 · M. Avila, A. Folch, et al. · Procedia Computer Science · 27
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Flow and wakes in complex terrain and offshore. Model development and verification in UPWIND
2007 · Barthelmie, Rebecca J., Schepers, J.G., et al. · Hispana · 12
A semi-parabolic wake model for large offshore wind farms based on the open source CFD solver OpenFOAM
2014 · D. Cabezón, E. Migoya, et al. · ITM Web of Conferences · 6
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Comparing WAsP and Fluent for Highly Complex Terrain Wind Prediction
2007 · D. Cabezón, A. Iniesta, et al. · Springer eBooks · 4
RANS simulations of wind flow at the Bolund experiment
2011 · D. Cabezón, Jonathon Sumner, et al. · 3
Power losses due to wakes in large wind farms
2008 · R. J. Barthelmie, E. S. Politis, et al. · 3
Simulation of Wind Farms in Flat & Complex terrain using CFD
2010 · John Prospathopoulos, D. Cabezón, et al. · 2
1.20_Schlez: Validation and Verification of Models of the Waked Flow of a Large Wind Farm
2019 · Schlez, Wolfgang, Bradstock, Philip, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
EERA-DTOC: Design tools for offshore clusters
2012 · Gregor Giebel, Peter Hauge Madsen, et al. · 1
Onshore Wind Farm Modelling
2012 · Matías Ávila, A. Folcha, et al. · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · 1
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Supplementary material to "A causality-based perspective on Atlantic and tropical Pacific teleconnections to Northeast Brazil in seasonal forecast systems"
2026 · Aleksander Lacima-Nadolnik, Verónica Torralba, et al.
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A causality-based perspective on Atlantic and tropical Pacific teleconnections to Northeast Brazil in seasonal forecast systems
2026 · Aleksander Lacima-Nadolnik, Verónica Torralba, et al.
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Modelos de flujo de viento. Comparativa lineal y no lineal
2020 · D. Cabezón, A. Iniesta, et al. · Acta de las Jornadas Científicas de la Asociación Meteorológica Española
Machine Learning-Based Analysis of Potential Power Gain from Passive Device Installation on Wind Turbine Generators [R package gainML version 0.1.0]
2019 · Hoon Hwangbo, Yu Ding, et al.
gainML: Machine Learning-Based Analysis of Potential Power Gain from Passive Device Installation on Wind Turbine Generators
2019 · Hoon Hwangbo, Yu Ding, et al.
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Machine Learning Based Analysis and Quantification of Potential Power Gain from Passive Device Installation
2019 · Hwangbo, Hoon, Ding, Yu, et al. · arXiv (Cornell University)
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Transient perturbation growth of vortex rings
2016 · Fei Chen, Bofu Wang, et al. · Journal of Physics Conference Series
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Meandering of turbine wake flow induced by atmospheric eddies
2016 · Mao, Xuerui, Cabezon, Daniel, et al. · HAL
A Closer Look at Second-Moment Closure for Wind Farm Analysis
2014 · Jonathon Sumner, Daniel Cabezón, et al. · Research topics in wind energy
RANS simulations of Bolund
2011 · Jonathon Sumner, Bibiana Garcia, et al. · Wind Energy
The impact of wakes on power output at large offshore wind farms
2010 · R. J. Barthelmie, Sten Tronæs Frandsen, et al. · AGU Fall Meeting Abstracts
Works count: 27
Citation count: 523
H-index: 6
I10-index: 6
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