Aug 2026· Wind Energy· Vol 29· 0 citations· 35 references
Abstract
Offshore wind energy development in China's coastal regions represents a critical pathway toward achieving carbon neutrality goals, yet accurate resource assessment remains challenging due to complex marine meteorological conditions. This study presents a comprehensive evaluation of offshore wind resources in Fujian Province using convection‐permitting Weather Research and Forecasting (WRF) model with 4‐km grid spacing nested in a 12‐km grid, validated against 1 year of buoy measurements and ERA5 reanalysis data. Our high‐resolution simulations reveal superior performance in capturing both routine and extreme wind conditions, with particular improvement in the critical 5–20 m/s wind speed range crucial for wind power generation. Analysis of 22 years of simulated data uncovers distinct seasonal and spatial patterns in wind resources: winter months contribute significantly higher wind power density, while the Taiwan Strait emerges as an optimal development zone with strong, stable winds and notably moderate extreme conditions. Extreme value analysis indicates that maximum wind speeds in the Taiwan Strait remain below 31 m/s during 100‐year return periods, substantially lower than surrounding areas, suggesting reduced structural requirements for wind installations. These findings provide crucial guidance for offshore wind farm siting and design, highlighting the Taiwan Strait as a prime location combining excellent wind resources with manageable extreme event risks. Our methodology and results establish a robust framework for offshore wind resource assessment in complex coastal environments, directly supporting China's ambitious renewable energy goals.
This study evaluates the offshore wind resource along the Mauritanian Atlantic coast, focusing on ten offshore zones and hub heights up to 100 m. The primary objective is to characterize the spatial variability of the wind resource and provide a preliminary assessment of offshore energy potential. Wind speed data deriv...
Sørlige Nordsjø II (SNII) is a planned large‐scale offshore wind farm in the Southern Norwegian North Sea near the Danish border, with phased development targeting a total installed capacity of up to 3 GW. For projects of this scale, site assessments are typically performed using computationally efficient analytical...
The rapid expansion of wind farm installations in the North Sea results in an increased need for understanding their influence on the local atmosphere, as well as the interactions between them. Wind farm operation and power production are affected by wakes produced both within and upstream of the wind farms. Accurately...
Alexandros Palatos-Plexidas, S. Gremmo, J. van Beeck et al.· Wind Energy Science· 0 citations
Offshore wind energy plays a central role in reaching the European Green Deal target of a climate-neutral Europe by 2050. In this study, we simulate offshore wind development for 2023, 2030, and beyond 2050 across the Northwest-European Shelf, using various turbine sizes over a 10-year period, an approach not previousl...
Naveed Akhtar, Alberto Elizalde, Beate Geyer et al.· Communications Earth & Envir...· 0 citations
Wind shear coefficients (WSCs) are fundamental parameters for wind resource assessment, wind turbine design, and offshore wind farm operation. This work focuses on positive wind shear coefficients (WSCs); hereafter, WSC refers exclusively to positive-value wind shear coefficients derived from positive shear profiles. H...
Li-Min Cui, Yang-Yang Zhou, Zhi-Ting Yan et al.· Journal of Marine Science an...· 0 citations
Offshore island and nearshore energy systems in southern Vietnam remain constrained by diesel dependence, fuel-logistics risks, and carbon emissions. This study applies a Delft3D-WAVE/SWAN framework forced by hourly ERA5 winds to quantify significant wave height (Hs), peak period (Tp), and finite-depth wave-power densi...
H. Tran, Le Thanh Phong, K. Nguyễn et al.· Asian Journal of Water, Envi...· 0 citations
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