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Application of ERA5 and MENA simulations to predict offshore wind energy potential

EasyChair Preprint no. 2764

21 pagesDate: February 24, 2020


This study explores wind energy resources in different locations through the Gulf of Oman and also their future variability due to climate change impacts. In this regard, EC-EARTH near-surface wind outputs obtained from CORDEX-MENA simulations is used for historical and future projection of the energy. The ERA5 wind data are employed to assess the suitability of the climate model. Moreover, the ERA5 wave data over the study area are applied to compute sea surface roughness as an important variable for converting near-surface wind speeds to those of wind speed at turbine hub height. Considering the power distribution, bathymetry and distance from the coats, some spots as tentative energy hotspots to provide a detailed assessment of directional and temporal variability and also to investigate climate change impact studies. RCP8.5 as a common climatic scenario is used to project and extract future variation of the energy in the selected sites. The results of this study demonstrate that the selected locations have a suitable potential for wind power turbine plan and constructions.

Keyphrases: ERA5 reanalysis data, regional climate model, Surface roughness, wind energy

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Shahab Shamshirband and Amir Mosavi and Narjes Nabipour and Kwok-Wing Chau},
  title = {Application of ERA5 and MENA simulations to predict offshore wind energy potential},
  howpublished = {EasyChair Preprint no. 2764},

  year = {EasyChair, 2020}}
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