Version 1
: Received: 24 February 2020 / Approved: 25 February 2020 / Online: 25 February 2020 (11:51:17 CET)
How to cite:
Shamshirband, S.; Mosavi, A.; nabipour, N.; Chau, K.-W. Application of ERA5 and MENA Simulations to Predict Offshore Wind Energy Potential. Preprints2020, 2020020376. https://doi.org/10.20944/preprints202002.0376.v1
Shamshirband, S.; Mosavi, A.; nabipour, N.; Chau, K.-W. Application of ERA5 and MENA Simulations to Predict Offshore Wind Energy Potential . Preprints 2020, 2020020376. https://doi.org/10.20944/preprints202002.0376.v1
Shamshirband, S.; Mosavi, A.; nabipour, N.; Chau, K.-W. Application of ERA5 and MENA Simulations to Predict Offshore Wind Energy Potential. Preprints2020, 2020020376. https://doi.org/10.20944/preprints202002.0376.v1
APA Style
Shamshirband, S., Mosavi, A., nabipour, N., & Chau, K. W. (2020). Application of ERA5 and MENA Simulations to Predict Offshore Wind Energy Potential<strong> </strong>. Preprints. https://doi.org/10.20944/preprints202002.0376.v1
Chicago/Turabian Style
Shamshirband, S., narjes nabipour and Kwok-wing Chau. 2020 "Application of ERA5 and MENA Simulations to Predict Offshore Wind Energy Potential<strong> </strong>" Preprints. https://doi.org/10.20944/preprints202002.0376.v1
Abstract
This study explores wind energy resources in different locations through the Gulf of Oman and also their future variability due climate change impacts. In this regard, EC-EARTH near-surface wind outputs obtained from CORDEX-MENA simulations are 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 is 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 plans and constructions.
Keywords
Regional climate model; wind energy; surface roughness; ERA5 reanalysis data
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.