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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.
Model-Free Wind Farm Power Production Optimization using Multi-Resolution Optimized Relative Step Size Random Search
Published in IETE Journal of Research, 2022
The robustness of the MR-OSSRS based method is evaluated in this section for the Horns Rev wind farm layout through applying the wind farm model discussed in Section 5.1. Horns Rev wind farm in Denmark is an offshore wind farm consisted of (Vesta V80 2MW) wind turbines. A (Vesta V80 2MW) wind turbine has turbine diameter and is able to produce the power up to . Figure 8 shows the layout of the wind farm in the shape of a parallelogram. Each wind turbine is away from each other, which is equivalent to in both the and directions. The roughness coefficient is and the air density is . Whereas, the incoming wind direction at and are indicated by the red, orange, yellow, green, blue and purple doted arrows, respectively.
Study on the wind-farm wake under neutral atmospheric condition
Published in International Journal of Green Energy, 2021
Hang Meng, Shuang Han, Xin Yu, Bo Gu, Li Li
In order to overcome the limitations of both aforementioned two methods, the intermediate approach was proposed, in which the wind farm is modeled as a single momentum sink. This intermediate method is presented by Baidya (Baidya, Pacala, and Walko 2004) in 2004 to study the possible impacts of large wind farms on the local meteorology of Great Plain region. It was found that the energy absorbed by wind turbines is modeled with constant value of , which was employed to study the wake flow behind the large wind farm. In this research, it was found that the wind-farm wake flow can persist 18–23 km long, which conforms to the measurements. In 2012, similar approach is presented by Fitch (Fitch, Olson, and Lundquist 2012), the energy extracted from the atmosphere is quantified by instead of in Baidya’s paper. Fitch’s results are also consistent with observations and large eddy simulation of Horns Rev wind farm. The results of the above two research works both imply that this intermediate approach can balance well between accuracy and efficiency.
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 advancement of the proposed wind farm flow model is validated systematically and comprehensively for Horns Rev offshore wind farm. All the test cases (Barthelmie et al. 2009; Wu and Porté-Agel 2015) and corresponding inflow parameters (Niayifar and Porté-Agel 2016; Wu and Porté-Agel 2015) are presented in Table 4. Note that the wind speed, power output, and other relevant variables collected by the Supervisory Control And Data Acquisition (SCADA) with a sampling frequency of 10 mins are determined (Barthelmie et al. 2007). In addition, the variables mentioned above are sorted based on meteorological data.