Rezoning global offshore wind energy resources

Zheng, Chunmiao; Xiao, Ziniu; Peng, Yuehua; Li, Chongyin; Du, Z.

doi:10.1016/j.renene.2018.05.090

Cited by 77 publications

(49 citation statements)

References 31 publications

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“…The wind fields are reported to a 10 m height above the sea level, and in this case the wind speed is denoted with U10 (m/s). For large water areas, the ERA-Interim data are frequently used to assess the wind potential on various regions, such as Global [32,33], Europe [34][35][36], South China Sea [37], South Korea [38] or Chile [39]. Another dataset used in this work comes from the AVISO (Archiving, Validation and Interpretation of Satellite Oceanographic Data) project, and includes gridded near-real time wind speeds.…”

Section: Datasetmentioning

confidence: 99%

Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea

Onea

Rusu

2018

Energies

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The main objective of this work was to evaluate the nearshore wind resources in the Black Sea area by using a high resolution wind database (ERA-Interim). A subsequent objective was to estimate what type of wind turbines and wind farm configurations would be more suitable for this coastal environment. A more comprehensive picture of these resources was provided by including some satellite measurements, which were also used to assess the wind conditions in the vicinity of some already operating European wind projects. Based on the results of the present work, it seems that the Crimea Peninsula has the best wind resources. However, considering the current geopolitical situation, it seems that the sites on the western part of this basin (Romania and Bulgaria) would represent more viable locations for developing offshore wind projects. Since there are currently no operational wind projects in this marine area, some possible configurations for the future wind farms are proposed.

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Section: Datasetmentioning

confidence: 99%

Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea

Onea

Rusu

2018

Energies

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“…However, the depth of the seabed is not the only condition to be considered. Other factors such as the availability of resources [76] and technology and experience in a certain type over the others make different markets bet on different solutions in similar environments. Figures 3 and 4 show the comparison of the typologies in Europe and in Asia according to the parameters of depth and distance to the coast.…”

mentioning

confidence: 99%

Foundations in Offshore Wind Farms: Evolution, Characteristics and Range of Use. Analysis of Main Dimensional Parameters in Monopile Foundations

Avila-Sanchez

Gutiérrez

Negro

et al. 2019

JMSE

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Renewable energies are the future, and offshore wind is undoubtedly one of the renewable energy sources for the future. Foundations of offshore wind turbines are essential for its right development. There are several types: monopiles, gravity-based structures, jackets, tripods, floating support, etc., being the first ones that are most used up to now. This manuscript begins with a review of the offshore wind power installed around the world and the exposition of the different types of foundations in the industry. For that, a database has been created, and all the data are being processed to be exposed in clear graphic summarizing the current use of the different foundation types, considering mainly distance to the coast and water depth. Later, the paper includes an analysis of the evolution and parameters of the design of monopiles, including wind turbine and monopile characteristics. Some monomials are considered in this specific analysis and also the soil type. So, a general view of the current state of monopile foundations is achieved, based on a database with the offshore wind farms in operation.

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“…The assessment of the future wind resource based on the indices described above was carried out following a Delphi classification method similar to the one described in [37,49,61]. First, each index was normalized to encompass all of them in a single parameter (the C wind index) since, as mentioned above, each index has its magnitude and units.…”

Section: Assessment Of Future Wind Energy Resourcementioning

confidence: 99%

“…/N, where A is the weight coefficient, A is the mean value of A and N is the number of experts (10) consulted in [37]. Thus, the wind energy classification index (C wind ) was calculated for each grid point as:…”

Section: Normalized Rlo (%) Dwnt (%)mentioning

confidence: 99%

“…The EURO-CORDEX initiative, the European branch of the Coordinated Regional Climate Downscaling Experiment (CORDEX) project [36], used a wide range of regional climate models (RCMs) driven by several CMIP5 GCMs, under different greenhouse gas emission scenarios, to project wind and the significant height and period of waves, with a high spatial and temporal resolution. However, to assess the feasibility of operating a hybrid wind-wave farm in a specific location, it is necessary to take into account not only wave and wind resources for the near future but also environmental conditions and cost factors [37,38].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Hybrid Wind-Wave Energy Resource for the NW Coast of Iberian Peninsula in a Climate Change Context

et al. 2020

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Offshore renewable energy has a high potential for ensuring the successful implementation of the European decarbonization agenda planned for the near future. Hybrid wind-wave farms can reduce installation and maintenance costs, and increase the renewable energy availability of a location by compensating for the wind’s intermittent nature with good wave conditions. In addition, wave farms can provide protection to wind farms, and the combined wind/wave farm can provide coastal protection. This work aims to assess the future hybrid wind-wave energy resource for the northwest coast of Iberian Peninsula for the near future (2026–2045), under the RCP 8.5 greenhouse gas emission scenario. This assessment was accomplished by applying a Delphi classification method to define four categories, aiming to evaluate the richness (wind and wave energy availability, downtime), the variability (temporal variation), the environmental risk (extreme events), and cost parameters (water depth and distance to coast) of the wind and wave resources. The combined index (CI), which classifies the hybrid wind-wave resource, shows that most of the NW Iberian Peninsula presents good conditions (CI > 0.6) for exploiting energy from wind and wave resources simultaneously. Additionally, there are some particularly optimal areas (CI > 0.7), such as the region near Cape Roca, and the Galician coast.

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Rezoning global offshore wind energy resources

Cited by 77 publications

References 31 publications

Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea

Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea

Foundations in Offshore Wind Farms: Evolution, Characteristics and Range of Use. Analysis of Main Dimensional Parameters in Monopile Foundations

Assessment of Hybrid Wind-Wave Energy Resource for the NW Coast of Iberian Peninsula in a Climate Change Context

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