Wind resource assessment offshore the Atlantic Iberian coast with the WRF model

Salvação, N.; Soares, C. Guedes

doi:10.1016/j.energy.2017.12.101

Cited by 95 publications

(48 citation statements)

References 40 publications

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“…In fact, the perspectives of the Wind Europe, for Spain, for 2020 in terms of offshore wind is only 5 MW [7], which is the power of an offshore wind turbine installed in a port in the Canary islands to be tested as offshore wind turbine, but still not deployed at sea. Therefore, it is important to boost the offshore wind sector in the future [8] in order to achieve the success that can be found in the onshore wind sector, including its operational issues such as the safety [9] availability [10,11] and maintenance [12,13], its integration in the grid [14], its offshore wind resource [15][16][17][18], its layout optimization [19], or its resource prediction [20].…”

Section: Introductionmentioning

confidence: 99%

Economic Feasibility of Floating Offshore Wind Farms in the North of Spain

Castro-Santos

Bento

Silva

et al. 2020

JMSE

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This paper assesses the economic feasibility of offshore wind farms installed in deep waters considering their internal rate of return (IRR), net present value (NPV), and levelized cost of energy (LCOE). The method proposed has three phases: geographic phase, economic phase, and restrictions phase. The purpose of the geographic step is to obtain the input values, which will be used in the economic phase. Then, the economic parameters are calculated considering the inputs provided previously. Finally, the bathymetric restriction is added to the economic maps. The case study focused on the Cantabric and North-Atlantic coasts of Spain, areas that have not been studied previously in economic terms regarding floating offshore wind technology. Moreover, several alternatives have been considered, taking into account the type of floating offshore wind structure and the electric tariff. Results indicate which is the best floating offshore wind structure with respect to LCOE, IRR, and NPV, and where is the best location for the connection of a floating offshore wind farm in the region selected.

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Section: Introductionmentioning

confidence: 99%

Economic Feasibility of Floating Offshore Wind Farms in the North of Spain

Castro-Santos

Bento

Silva

et al. 2020

JMSE

Self Cite

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“…In previous research, the simulation of wind speeds in coastal wind farm areas were mainly based on the direct simulation of WRF models with analysis data [27,[35][36][37][38][39][40][41]. Since the parameters chosen for WRF can greatly affect the wind simulation, many studies have focused on the selection and improvement of the physical parameterization scheme of the WRF model [5,7,8].…”

Section: Discussionmentioning

confidence: 99%

Applying Satellite Data Assimilation to Wind Simulation of Coastal Wind Farms in Guangdong, China

Ning

Luo

2020

Remote Sensing

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With the development of the wind power industry in China, accurate simulation of near-surface wind plays an important role in wind-resource assessment. Numerical weather prediction (NWP) models have been widely used to simulate the near-surface wind speed. By combining the Weather Research and Forecast (WRF) model with the Three-dimensional variation (3DVar) data assimilation system, our work applied satellite data assimilation to the wind resource assessment tasks of coastal wind farms in Guangdong, China. We compared the simulation results with wind speed observation data from seven wind observation towers in the Guangdong coastal area, and the results showed that satellite data assimilation with the WRF model can significantly reduce the root-mean-square error (RMSE) and improve the index of agreement (IA) and correlation coefficient (R). In different months and at different height layers (10, 50, and 70 m), the Root-Mean-Square Error (RMSE) can be reduced by a range of 0–0.8 m/s from 2.5–4 m/s of the original results, the IA can be increased by a range of 0–0.2 from 0.5–0.8 of the original results, and the R can be increased by a range of 0–0.3 from 0.2–0.7 of the original results. The results of the wind speed Weibull distribution show that, after data assimilation was used, the WRF model was able to simulate the distribution of wind speed more accurately. Based on the numerical simulation, our work proposes a combined wind resource evaluation approach of numerical modeling and data assimilation, which will benefit the wind power assessment of wind farms.

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“…The Areva M5000-116 turbine has the highest rated power (5 MW), but it is designed to operate at a hub height of 90 m, compared to the other two turbines that do not exceed 2.5 MW, but are associated to a hub height of 100 m. Nevertheless, the Areva M5000-116 wind turbine is defined by the lowest rated speed value, which, when combined with the rated power, will definitely lead to a higher power production. The Annual Electricity Production (AEP) of a particular wind turbine can be estimated as [41]: The Annual Electricity Production (AEP) of a particular wind turbine can be estimated as [41]:…”

Section: Wind Turbinesmentioning

confidence: 99%

A Study on the Wind Energy Potential in the Romanian Coastal Environment

Onea

Rusu

2019

JMSE

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At the European level, offshore wind projects are already considered a competitive market. Nevertheless, this is not yet the case of the enclosed sea basins, such as the Black Sea, where no offshore wind farm is operating at this moment. From this perspective, the objective of the present work is to identify the most suitable sites where a wind project can be developed in the Romanian coastal areas. Various parameters, such as wind speed, water depth, distance to shore, and turbine performance, are considered. A picture of the local wind characteristics is first provided considering 20 years of reanalysis data, which cover the time interval from January 1998 to December 2017. The results indicated that the best sites to implement a wind project are located in the northern sector of the Black Sea, close to the Danube Delta. It was also noticed an important variation of the wind speed between onshore and 20 km offshore, for which an increase of about 55% was estimated.

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Wind resource assessment offshore the Atlantic Iberian coast with the WRF model

Cited by 95 publications

References 40 publications

Economic Feasibility of Floating Offshore Wind Farms in the North of Spain

Economic Feasibility of Floating Offshore Wind Farms in the North of Spain

Applying Satellite Data Assimilation to Wind Simulation of Coastal Wind Farms in Guangdong, China

A Study on the Wind Energy Potential in the Romanian Coastal Environment

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