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An innovative FE approach using soil hyperbolic model for predicting the response of monopiles supporting OWTs in sands
Published in António S. Cardoso, José L. Borges, Pedro A. Costa, António T. Gomes, José C. Marques, Castorina S. Vieira, Numerical Methods in Geotechnical Engineering IX, 2018
To substantiate the performances of NAMPULAL results in problems involving laterally loaded monopiles embedded in sands, the works by Augustesen et al. (2009) and Doherty et al. (2012) were investigated. Indeed, Augustesen et al. (2009) studied monopiles at Horns Rev Offshore Wind Farm, built during 2003 and located in the North Sea west of Esbjerg in Denmark, whereas Doherty et al. (2012) performed numerical and field test investigations on OWT monopile installed in a research area, Ireland. Augustesen et al. (2009) employed FLAC3D and Doherty et al. (2012) used PLAXIS which are both powerful numerical tools that can provide reliable results if accurate soil properties are provided as input data.
An innovative FE approach using soil hyperbolic model for predicting the response of monopiles supporting OWTs in sands
Published in António S. Cardoso, José L. Borges, Pedro A. Costa, António T. Gomes, José C. Marques, Castorina S. Vieira, Numerical Methods in Geotechnical Engineering IX, 2018
To substantiate the performances of NAMPULAL results in problems involving laterally loaded monopiles embedded in sands, the works by Augustesen et al. (2009) and Doherty et al. (2012) were investigated. Indeed, Augustesen et al. (2009) studied monopiles at Horns Rev Offshore Wind Farm, built during 2003 and located in the North Sea west of Esbjerg in Denmark, whereas Doherty et al. (2012) performed numerical and field test investigations on OWT monopile installed in a research area, Ireland. Augustesen et al. (2009) employed FLAC3D and Doherty et al. (2012) used PLAXIS which are both powerful numerical tools that can provide reliable results if accurate soil properties are provided as input data.
RCAM Case Maintenance Optimization
Published in Lina Bertling Tjernberg, Infrastructure Asset Management with Power System Applications, 2018
The proposed optimization model has been demonstrated by means of a case study of a fictitious offshore wind farm consisting of NWT = 100 wind turbines located 60 km from a harbor. Each turbine has a rated capacity of P = 5 MW. The season-dependent capacity factors are provided in Table 9.2. Wind and wave data are based on real data from the 160 MW Horns Rev offshore wind farm located 15 km off the coast of Esbjerg in Denmark. The time series covers 5 years and, therefore, provides a sound basis for statistical analysis. The time step is set to Δt = 3 h.
A novel entrainment wind farm flow model for power prediction
Published in International Journal of Green Energy, 2023
Ning Li, Yongqian Liu, Li Li, Hang Meng, Xin Yu, Shuang Han, Jie Yan
The Horns Rev offshore wind farm, located 15 kilometers off the west coast of Denmark and is within an area of about 20 km2, where the turbines are arranged regularly with 8 columns and 10 rows. The specific location of the Horns Rev offshore wind farm can be seen in Figure 5 The 80 2 MW wind turbines manufactured by Vestas are formed, which have been in operation since 2004. The diameter of the wind rotor is 80 m, and the hub height is 70 m. The minimum spacing between the adjacent turbine is 7d, and the maximum is 10.4d in full-wake condition, which is the type of wide-spacing arrangement, as shown in Figure 6.