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Offshore wind potential and wind atlas over the Oman Maritime Zone

  • Yassine CharabiEmail author
  • Amir Al Hinai
  • Sultan Al-Yahyai
  • Talal Al Awadhi
  • B. S. Choudri
Original Article
  • 3 Downloads

Abstract

This study, focused on Oman, has been motivated by the electrical power demand increase, global warming concerns, and technological advances in renewable energy production. The main objective of the study was to investigate the offshore wind potential and develop the wind atlas over the Oman Maritime Zone (OMZ). The study is based on wind data derived from the high-resolution numerical weather prediction (WRF) model. National Center for Atmospheric Research reanalysis global model data (0.5°) was used to derive a 9-km-resolution WRF model. This intermediate resolution was then further used to produce a high-resolution (3 km) WRF model. The model data were validated using ground measurement observations under different topographical conditions. Annual, seasonal, and monthly wind distribution over the OMZ are presented using the Geographical Information System environment from different heights above the mean sea level, namely 10 m, 20 m, 50 m, 80 m, and 100 m. In addition, the wind power density along the OMZ region was calculated as a postprocessing product of the model run. Finally, daily time series data are presented for selected points along the coastal areas of Oman. The study results show that the annual average wind speed over the southeastern region reached 8 m/s and peaked at above 10 m/s around the South Coast of Oman. Further, the wind speed during summer months (May–September) was much higher than in other months of the year.

Keywords

Offshore wind Modeling Wind atlas WRF model Oman 

Notes

Acknowledgements

BP Oman (Research Grant BR/DVC/CESAR/18/01) supported this research. We thank our colleagues from Directorate General of Meteorology, who provided access to WRF model.

References

  1. AlSarmi S, Washington R (2011) Recent observed climate change over the Arabian Peninsula. J Geophys Res.  https://doi.org/10.1029/2010jd015459 Google Scholar
  2. Al-Yahyai S, Charabi Y, Gastli A (2010a) Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment. Renew Sustain Energy Rev 14:3192–3198CrossRefGoogle Scholar
  3. Al-Yahyai S, Charabi Y, Gastli A, AL-Alawi S (2010b) Assessment of wind energy potential in Oman using data from existing weather stations. Renew Sustain Energy Rev 14:1428–1436CrossRefGoogle Scholar
  4. Amirinia G, Mafi S, Mazaheri S (2017) Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS. Renew Energy 113:915–929.  https://doi.org/10.1016/j.renene.2017.06.070 CrossRefGoogle Scholar
  5. Audrius J, Saulius G, Alfonsas M, Mindaugas A, Inga K, Audrius B, Vidmantas T (2018) Challenges of integrating wind power plants into the electric power system: Lithuanian case. Renew Sustain Energy Rev 94(C):468–475Google Scholar
  6. Bilgili M, Yasar A, Simsek E (2011) Offshore wind power development in Europe and its comparison with onshore counterpart. Renew Sustain Energy Rev 15:905–915CrossRefGoogle Scholar
  7. Carvalho D, Rocha A, Gómez-Gesteira M, Santos CS (2014a) WRF wind simulation and wind energy production estimates forced by different reanalysis: comparison with observed data for Portugal. Appl Energy 117:116–126CrossRefGoogle Scholar
  8. Carvalho D, Rocha A, Gómez-Gesteira M, Santos CS (2014b) offshore wind energy resource simulation forced by different reanalysis: comparison with observed data in the Iberian Peninsula. Appl Energy 134:57–64CrossRefGoogle Scholar
  9. Chancham C, Waewsak J, Gagnon Y (2017) Offshore wind resource assessment and wind power plant optimization in the Gulf of Thailand. Energy 139:706–731.  https://doi.org/10.1016/j.energy.2017.08.026 CrossRefGoogle Scholar
  10. Charabi Y, Al-Yahyai S, Gastli A (2011) Evaluation of NWP performance for wind energy resource assessment in Oman. Renew Sustain Energy Rev 15:1545–1555CrossRefGoogle Scholar
  11. Colmenar-Santos A, Perera-Perez J, Borge-Diez D, dePalacio-Rodríguez C (2016) Offshore wind energy: a review of the current status, challenges and future development in Spain. Renew Sustain Energy Rev 64:1–18CrossRefGoogle Scholar
  12. Doubrawa P, Barthelmie RJ, Pryor SC, Hasager CB, Badger M, Karagali L (2015) Satellite winds as a tool for offshore wind resource assessment: the Great Lakes Wind Atlas. Remote Sens Environ 168:349–359.  https://doi.org/10.1016/j.rse.2015.07.008 CrossRefGoogle Scholar
  13. Dvorak MJ, Archer CL, Jacobson MZ (2009) California offshore wind energy potential. Renew Energy 35:1244–1254CrossRefGoogle Scholar
  14. EWEA (2017) http://www.ewea.org/. Accessed Mar 2017
  15. Fang HF (2014) Wind energy potential assessment for the offshore areas of Taiwan west coast and Penghu Archipelago. Renew Energy 67:237–241CrossRefGoogle Scholar
  16. Furevik BR, Sempreviva AM, Cavaleri L, Lefèvre JM, Transerici C (2011) Eight years of wind measurements from scatter meter for wind resource mapping in the Mediterranean Sea. Wind Energy 14:355–372.  https://doi.org/10.1002/we.425 CrossRefGoogle Scholar
  17. Gadad S, Deka PC (2016) Offshore wind power resource assessment using Oceansat-2 scatter meter data at a regional scale. Appl Energy 176:157–170CrossRefGoogle Scholar
  18. GWEC (2016) http://www.gwec.net/. Accessed Dec 2016
  19. Hasager CB, Barthelmie RJ, Christiansen MB, Nielsen M, Pryor SC (2006) Quantifying offshore wind resources from satellite wind maps: study area the North Sea. Wind Energy 9:63–74CrossRefGoogle Scholar
  20. Jakub J, Jerzy M, Magdalena K, Bartłomiej C, Mirosław J (2018) Integrating a wind- and solar-powered hybrid to the power system by coupling it with a hydroelectric power station with pumping installation. Energy 144(C):549–563Google Scholar
  21. Jennie J, Paul D, Trieu M (2018) Analyzing storage for wind integration in a transmission-constrained power system. Appl Energy 228(C):122–129.  https://doi.org/10.1016/j.apenergy.2018.06.046 Google Scholar
  22. Kalogeri C, Galanis G, Spyrou C, Diamantis D, Baladima F, Koukoula M, Kallos G (2017) Assessing the European offshore wind and wave energy resource for combined exploitation. Renew Energy 101:244–264.  https://doi.org/10.1016/j.renene.2016.08.010 CrossRefGoogle Scholar
  23. Lima DKS, Leao RPS, dos Santos ACS, de Melo FDC, Couto VM, de Noronha AWT, Oliveira DS Jr (2015) Estimating the offshore wind resources of the State of Cear’a in Brazil. Renew Energy 83:203–221.  https://doi.org/10.1016/j.renene.2015.04.025 CrossRefGoogle Scholar
  24. Mattar C, Guzm’an-Ibarra MC (2017) A techno-economic assessment of offshore wind energy in Chile. Energy 133:P191–P205.  https://doi.org/10.1016/j.energy.2017.05.099 CrossRefGoogle Scholar
  25. Membery DA (1983) Low-level wind profiles during the Gulf Shamal. Weather 38:18–24CrossRefGoogle Scholar
  26. NREL (2015) Cost of Wind Energy Review. https://www.nrel.gov/docs/fy17osti/66861.pdf. Accessed Dec 2015
  27. Pimenta F, Kempton W, Garvine R (2008) Combining meteorological stations and satellite data to evaluate the offshore wind power resource of Southeastern Brazil. Renew Energy 33(11):2375–2387.  https://doi.org/10.1016/j.renene.2008.01.012 CrossRefGoogle Scholar
  28. Quaschning V (2005) Understanding renewable energy systems. Earthscan, LondonGoogle Scholar
  29. Ramachandra T, Subramanian D, Joshi N (1997) Wind energy potential assessment in Uttarannada district of Karnataka, India. Renew Energy 10:585–611CrossRefGoogle Scholar
  30. Rao PG, Al-Sulaiti M, Al-Mulla AH (2001) Winter shamals in Qatar, Arabian Gulf. Weather 56:444–451CrossRefGoogle Scholar
  31. Sajadi A, Strezoski L, Clark K, Prica M, Loparo KA (2018) Transmission system protection screening for integration of offshore wind power plants. Renew Energy 125(C):225–233CrossRefGoogle Scholar
  32. Sempreviva AM, Barthelmie RJ, Pryor SC (2008) Review of methodologies for offshore wind resource assessment in European seas. Surv Geophys 29:471–497CrossRefGoogle Scholar
  33. Soares P, Cardoso R, Miranda P, Medeiros J, Belo-Pereira M, Espirito-Santo F (2012) WRF high resolution dynamical downscaling of ERA-Interim for Portugal. Clim Dyn 39:2497–2522CrossRefGoogle Scholar
  34. Takeyama Y, Ohsawa T, Kozai K, Hasager CB, Badger M (2013) Comparison of geophysical model functions for SAR wind speed retrieval in Japanese coastal waters. Remote Sens 5:1956–1973.  https://doi.org/10.3390/rs5041956 CrossRefGoogle Scholar
  35. Ulazia A, Sáenz J, Ibarra-Berastegui G, González-Rojí SJ, Carreno-Madinabeitia S (2017) Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean. Appl Energy 208:1232–1245.  https://doi.org/10.1016/j.apenergy.2017.09.030 CrossRefGoogle Scholar
  36. Zheng CW, Li CY, Pan J, Liu MY, Xia LL (2016) An overview of global ocean wind energy resource evaluations. Renew Sustain Energy Rev 53:1240–1251CrossRefGoogle Scholar

Copyright information

© The Joint Center on Global Change and Earth System Science of the University of Maryland and Beijing Normal University 2019

Authors and Affiliations

  • Yassine Charabi
    • 1
    Email author
  • Amir Al Hinai
    • 2
  • Sultan Al-Yahyai
    • 3
  • Talal Al Awadhi
    • 4
  • B. S. Choudri
    • 1
  1. 1.Center for Environmental Studies and ResearchSultan Qaboos UniversityMuscatOman
  2. 2.Sustainable Energy Research CenterSultan Qaboos UniversityMuscatOman
  3. 3.Information Technology DepartmentMazoon Electricity CompanyQurumOman
  4. 4.Department of GeographySultan Qaboos UniversityMuscatOman

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