Design of an Offshore Wind Farm Layout

Dinh, Van Nguyen; Nguyen, Hoa

doi:10.1007/978-981-13-2306-5_31

Cited by 12 publications

(5 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of energy consumptions now are provided by hydro-and fossil-fuel powers (GIZ 2016). However, due to their negative impacts on environment and ecology, renewable energy resources, in particular wind energy, are becoming important to maintain a sustainable development of the country (Dinh and McKeogh 2018;Dinh and Nguyen 2018).…”

Section: Introductionmentioning

confidence: 99%

Usability and Challenges of Offshore Wind Energy in Vietnam Revealed by the Regional Climate Model Simulation

Doan

Dinh

Kusaka

et al. 2019

SOLA

Self Cite

View full text Add to dashboard Cite

This study revealed great potential and shortcoming of offshore wind energy in Vietnam by numerical simulations with Weather Research and Forecasting (WRF) model at 10-km resolution for 10 years (2006−2015). The greatest energy potential was found in the offshore area of Phu Quy island (Binh Thuan province). The area, alone, can provide the 38.2 GW power generation capacity corresponding to the increasing renewable-energy demand by 2030 planned by the country. There is also a drawback of the wind resource, which is associated with strong multiplescale temporal variabilities. The seasonal variability associated with monsoon onsets and daily variability associated with the wind diurnal cycles were found ranging 30−50%. Meanwhile, the inter-annual variability could reach up to 10%. These variabilities must be considered when designing wind farms and grids over the region. Additionally, due to the fact that the WRF model performed climatological features of the winds well against the observations, this results indicate that it can be useful tools for windpower assessment as compared to other reanalysis or QuikSCAT data with coarser spatio-temporal resolutions.

show abstract

Section: Introductionmentioning

confidence: 99%

Usability and Challenges of Offshore Wind Energy in Vietnam Revealed by the Regional Climate Model Simulation

Doan

Dinh

Kusaka

et al. 2019

SOLA

Self Cite

View full text Add to dashboard Cite

show abstract

“…10 presents the power curve of the LW turbine used to estimate the energy production from wind speed. The reasonable distance of wind turbines chosen to minimise the wake effects in the prevailing wind direction is 10D r , and in the crosswind direction is 4D r [61]. However, the wake effects due to adjacent turbines in the wind farms are not considered in this study [61].…”

Section: Evaluation Of Wind Energy Potential and Variation For Each Zonementioning

confidence: 99%

“…The reasonable distance of wind turbines chosen to minimise the wake effects in the prevailing wind direction is 10D r , and in the crosswind direction is 4D r [61]. However, the wake effects due to adjacent turbines in the wind farms are not considered in this study [61]. The seasonal accumulated wind energy density of the four zones from 2007 to 2011 is illustrated in Fig.…”

Section: Evaluation Of Wind Energy Potential and Variation For Each Zonementioning

confidence: 99%

“…16 and 17 and is important to assessing project feasibility, designing energy storage systems, and power transmission networks [33]. Based on the recommended layout of offshore wind farms [61], up to two LW turbines (8 MW) per one square kilometre can be installed. Therefore, the maximum power distribution for one square kilometre is 16 MW.…”

Section: Wind Power Density Distributionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of resource spatial-temporal variation, dataset validity, infrastructures and zones for Vietnam offshore wind energy

Quang¹,

Doan²,

Dinh³

et al. 2020

VJSTE

Self Cite

View full text Add to dashboard Cite

The shortage of reliable datasets and resource assessments, resource variations, and lack of marine planning are the technical challenges facing offshore wind energy development in Vietnam. This pioneering paper comprehensively addresses these challenges by first screening available datasets to select crosscalibrated multi-platform (CCMP) data and validating them with measurements. The resource is divided into four zones of 100 NM-width from the coastline. The wind energy density (WED) and capacity factor (CF) are calculated using an 8 MW reference turbine. The assessment of the zoned resource and infrastructures is based on the location of synchronous power sources and ports, along with the variation of WED and CF. Zone 3, comprising of the Binh Thuan and Ninh Thuan seas, the southern part of Zone 2 (Phu Yen and Khanh Hoa), and the northern part of Zone 4 (Ba Ria and Vung Tau) are found to have the highest wind energy potential, where the annual accumulated WED is 80 GWh/km 2 . The five year CF and average wind speed in Phu Quy island were 54.5% and 11 m/s, respectively. These zones, with moderate resource variation and excellent ports are the most suitable for offshore wind energy development. Zones 1 and 4 are recommended for far-offshore wind farms. This work is useful to various environmental groups and is a crucial input to marine and power planning.

show abstract

“…Offshore wind power has been widely used as the clean energy in many countries. Dinh and Nguyen (2019) proposed that offshore wind power has the advantages of higher full load hours per year, longer service life and higher rotor speed comparing with onshore wind power. In practical engineering, foundation design should be carried out before the installation of offshore wind turbine.…”

Section: Introductionmentioning

confidence: 99%

Kriging analysis on CPTU data from offshore wind farm

Rui¹,

Li²,

Yang³

et al. 2022

Cone Penetration Testing 2022

View full text Add to dashboard Cite

In recent years, offshore wind power has been widely developed. Because of the com plexity of marine geology and the large spatial variability of soils, it is necessary to obtain CPTU data before the foundation design. However, how to reasonably interpret the CPTU data will greatly affect the reliability and safety of the offshore windfarm foundation. In addition, there is a need to predict soil conditions at the locations without CPTU data. In this study, based on the available CPTU data of offshore wind farm in east China sea, kriging method is used to interpret the CPTU data, and the soil conditions in a large area can be predicted. This method can be used to develop ground model for a large offshore wind farm, and estimate the relevant soil parameters based on CPTU data. The analysis methods can provide reference for other projects of offshore wind farm.

show abstract

Design of an Offshore Wind Farm Layout

Cited by 12 publications

References 14 publications

Usability and Challenges of Offshore Wind Energy in Vietnam Revealed by the Regional Climate Model Simulation

Usability and Challenges of Offshore Wind Energy in Vietnam Revealed by the Regional Climate Model Simulation

Evaluation of resource spatial-temporal variation, dataset validity, infrastructures and zones for Vietnam offshore wind energy

Kriging analysis on CPTU data from offshore wind farm

Contact Info

Product

Resources

About