Discerning the spatial variations in offshore wind resources along the coast of China via dynamic downscaling

Liu, Yichao; Chen, Daoyi; Li, Sunwei; Chan, Pak Wai

doi:10.1016/j.energy.2018.06.205

Cited by 14 publications

(3 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The spatial variability of interpolated MWS and WPD demonstrated that the offshore wind resources are abundant over the East and South China Sea, especially in the Taiwan Strait. This result is consistent with those of previous studies [3,52,57,58,61]. The spatial distribution of interpolated MWS and WPD in the offshore areas of the South China Sea at 10 m and 100 m height are similar to that in the study by Chang et al [23] based on ENVISAT ASAR and ASCAT data from WRF simulations.…”

Section: Discussionsupporting

confidence: 92%

“…Figure 3a,b shows that the highest MWS and WPD are mainly found in the Taiwan Strait and offshore regions in Fujian province. This result is consistent with those of existing studies [3,52,57,58]. The MWS and WPD in most areas of the Taiwan Strait are higher than 8 m/s and 500 W/m 2 , respectively.…”

Section: Spatial Variability Of Interpolated Offshore Wind Resources supporting

confidence: 93%

See 1 more Smart Citation

Assessment of China’s Offshore Wind Resources Based on the Integration of Multiple Satellite Data and Meteorological Data

Guo

Huang

Liu³

et al. 2019

Remote Sensing

View full text Add to dashboard Cite

Wind resources assessment plays a significant role in site selection for the construction of offshore wind farms. Mean wind speeds (MWS), wind power densities (WPD), and Weibull parameters are the most important variables for wind resources assessment. These variables were estimated with the synergetic use of multiple satellite data (QuikSCAT + WindSAT + ASCAT) and meteorological data from coastal stations using spatial interpolation methods, including inverse distance weighting (IDW), ordinary kriging (OK), and ordinary co-kriging (OCK). The spatial variability of offshore wind energy resources over the China Sea is assessed at heights of 10 m and 100 m (hub height of wind turbine). Then, 8 buoy measurements were used to evaluate the accuracy of the offshore wind resources assessment. Our results show that combining multiple satellite data and coastal meteorological data improves the accuracy of wind resources assessment in the offshore areas and the OCK method show the best performance for accuracy in most cases. The statistical results comparing buoy-derived MWS and interpolated MWS show a root mean square error (RMSE) of 0.17 m/s and correlation coefficient (Corr.) of 0.987 at a height of 10 m. Statistics of the comparison between buoy-derived WPD and interpolated WPD by OCK show a RMSE of 23.38 W/m2 at a height of 10 m. The results show that the highest wind resources are mainly found in the Taiwan Strait and offshore regions in Fujian province.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Spatial Variability Of Interpolated Offshore Wind Resources supporting

confidence: 93%

Assessment of China’s Offshore Wind Resources Based on the Integration of Multiple Satellite Data and Meteorological Data

Guo

Huang

Liu³

et al. 2019

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…As shown in Figure 1, the statistical data of global wind power cumulative installed capacity is shown. In wind power generation, offshore wind power is the significant direction in development and application of renewable energy, which plays a positive role in promoting energy conservation and emission reduction, ensuring energy security and optimizing energy structure [3][4][5] . Offshore wind power capacity which is installed in these years in China presents a rapid growth trend.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Fault of Wind Turbine in Offshore Wind Farm

Zhang

Yuan

Xin

2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Accelerating advancement of a late-model electrical power system with new energy resources as the principal part is one of main measures to attain double-carbon goal. The international situation and policies have further promoted the rapid development of wind power. Because of massive reserves of wind energy resources in the sea area with its huge potential, development plan for wind power is gradually inclined to offshore wind power. In the article, offshore wind power’s advancement process and the typical topological structure of offshore wind farm access systems are described, the offshore wind farms’ problems existing in operation are classified and summarized, and the causes of the problems are analyzed from the perspective of wind turbine components or systems. And the directions worthy of further study are prospected, which can give support to the maintenance and overhaul for offshore wind turbines.

show abstract

Research Status, Difficulties and Countermeasures of Offshore Wind Energy Evaluation of the Maritime Silk Road

Zheng¹,

Song²,

Liang³

et al. 2021

21st Century Maritime Silk Road: Wind Energy Resource Evaluation

View full text Add to dashboard Cite

Discerning the spatial variations in offshore wind resources along the coast of China via dynamic downscaling

Cited by 14 publications

References 46 publications

Assessment of China’s Offshore Wind Resources Based on the Integration of Multiple Satellite Data and Meteorological Data

Assessment of China’s Offshore Wind Resources Based on the Integration of Multiple Satellite Data and Meteorological Data

Analysis of Fault of Wind Turbine in Offshore Wind Farm

Research Status, Difficulties and Countermeasures of Offshore Wind Energy Evaluation of the Maritime Silk Road

Contact Info

Product

Resources

About