Offshore Wind Farms

Esteban, M. Dolores; Gutiérrez, José Santos López; Negro, Vicente

doi:10.3390/jmse8020120

Cited by 8 publications

(5 citation statements)

References 13 publications

(13 reference statements)

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“…Monopiles are the most widely adopted substructure-foundation system for modern offshore wind farms located in shallow water depths (≤~40 m). Braced support structures (i.e., tripod and jacket) are more suitable for deeper water and heavier turbines [5,6]. For water depths greater than 50 m, floating platforms for wind turbines will impose many new design challenges [5,6].…”

Section: Of 24mentioning

confidence: 99%

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Numerical Analysis of Local Scour of the Offshore Wind Turbines in Taiwan

Vuong

Huang

et al. 2023

JMSE

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Rapid expansions of the offshore wind industry have stimulated a renewed interest in the behavior of offshore wind turbines. Monopile, tripod, and jack-up wind turbines support most offshore wind turbines. These foundations are sensitive to scour, reducing their ultimate capacity and altering their dynamic response. However, the existing approaches ignore the seabed’s rheological properties in the scour process. This study focuses on the scour development around the wind turbine foundation in the Changhua wind farm in Taiwan. The simulation results explain the influence of different hydrodynamic mechanisms on the local scours in a cohesive fluid, such as regular waves, random waves, and constant currents. A newly non-Newtonian fluid model, the Discontinuous Bi-viscous Model (DBM), reproduces closet mud material nature without many empirical coefficients and an empirical formula. This new rheology model is integrated and coupled into the Splash3D model, which resolves the Navier–Stokes equations with a PLIC-VOF surface-tracking algorithm. The deformation of the scour hole, the backfilling, and the maximum scour depth are exhibited around the wind turbines. Waves, including regular and irregular waves, do not increase the scour depth compared with currents only. In the case of random wave–current coupling, the results present a signal of scour evolution. However, the scour depth is shallow at 0.033≤S/D≤0.046.

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Section: Of 24mentioning

confidence: 99%

“…Braced support structures (i.e., tripod and jacket) are more suitable for deeper water and heavier turbines [5,6]. For water depths greater than 50 m, floating platforms for wind turbines will impose many new design challenges [5,6].…”

Section: Of 24mentioning

confidence: 99%

Numerical Analysis of Local Scour of the Offshore Wind Turbines in Taiwan

Vuong

Huang

et al. 2023

JMSE

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“…It has been widely known that wind energy is among the most mature renewable energy resources, especially in terms of its technological state (IRENA, 2019). Though the offshore wind energy technology is not as mature as the onshore ones, its energy cultivation attracts the higher interest due to its many advantages compared to the onshore type (Ellabban, Abu-Rub, & Blaabjerg, 2014;Esteban, Diez, López, & Negro, 2011;Esteban, López-Gutiérrez, & Negro, 2020). Currently, the bottom-fixed offshore wind turbine foundation takes the biggest shares of the existing structures.…”

Section: Introductionmentioning

confidence: 99%

Future predictions of wave and response of multiple floating bodies based on the Kalman filter algorithm

Isnaini

Tatsumi

Iijima

2023

Preprint

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The present work explores the possibility of predicting future waves by extending the Kalman filter algorithm by incorporating the spatial distance between two points. Experimental data at 2D tank are used to validate the effectiveness of the proposed method. When causality limitation is fulfilled, it is found that 3-8 s or several cycles of waves ahead can be predicted in model scale, depending on the distance between the two points. If a scaling of 1/100 is adopted, this means 30-80 s waves ahead can be estimated. The longer the distance, the longer future predictable time will be. Response predictions using wave prediction data are also investigated. The results for the response prediction also exhibits high accuracy, with even higher predictable future time (80-120 s ahead given 1/100 scale ratio) compared to its associated predictable future time of waves.

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“…The global installed capacity of wind farms is 837 GW, as of 2022, and continues to grow [8]. Offshore wind energy is currently one of the most important sources of renewable energy worldwide, and it is expected that the installed power will increase very quickly in the short term [9]. The cost of producing a wind turbine blade is 15% to 20% of the total cost of producing a wind turbine.…”

Section: Introductionmentioning

confidence: 99%

Increasing Wind Turbine Efficiency Using Software Packages

Karić¹

2022

adeletters

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Wind energy is a clean source of energy. Wind turbine efficiency is affected by wind speed, Reynolds number, density, humidity, and air temperature, as well as other factors. The conversion of wind kinetic energy into the rotational movement of the wind turbine is performed thanks to the aerodynamic profile of the blade. Due to the large number of factors that affect the efficiency of work, complex mathematical models and software packages, specialized for this purpose, are used to shape the profile of the wind turbine blade. This paper presents the application of software packages for the design of the blade profile depending on the geographical location and meteorological conditions prevailing in the area, to achieve greater efficiency, that is, the production of a larger amount of electricity.

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Offshore Wind Farms

Abstract: In 2018, we were approached by the editorial team of the Journal of Marine Science and Engineering (MDPI editorial) to act as guest editors of a Special Issue related to offshore wind energy [...]

Cited by 8 publications

References 13 publications

Numerical Analysis of Local Scour of the Offshore Wind Turbines in Taiwan

Numerical Analysis of Local Scour of the Offshore Wind Turbines in Taiwan

Future predictions of wave and response of multiple floating bodies based on the Kalman filter algorithm

Increasing Wind Turbine Efficiency Using Software Packages

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