Offshore wind potential and wind atlas over the Oman Maritime Zone

Yassine Charabi , Amir Al Hinai , Sultan Al-Yahyai , Talal Al Awadhi , B. S. Choudri

Energy, Ecology and Environment ›› 2019, Vol. 4 ›› Issue (1) : 1 -14.

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Energy, Ecology and Environment ›› 2019, Vol. 4 ›› Issue (1) : 1 -14. DOI: 10.1007/s40974-019-00108-7
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Offshore wind potential and wind atlas over the Oman Maritime Zone

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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

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Yassine Charabi, Amir Al Hinai, Sultan Al-Yahyai, Talal Al Awadhi, B. S. Choudri. Offshore wind potential and wind atlas over the Oman Maritime Zone. Energy, Ecology and Environment, 2019, 4(1): 1-14 DOI:10.1007/s40974-019-00108-7

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References

[1]

AlSarmi S, Washington R. Recent observed climate change over the Arabian Peninsula. J Geophys Res, 2011

[2]

Al-Yahyai S, Charabi Y, Gastli A. Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment. Renew Sustain Energy Rev, 2010, 14: 3192-3198

[3]

Al-Yahyai S, Charabi Y, Gastli A, AL-Alawi S. Assessment of wind energy potential in Oman using data from existing weather stations. Renew Sustain Energy Rev, 2010, 14: 1428-1436

[4]

Amirinia G, Mafi S, Mazaheri S. Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS. Renew Energy, 2017, 113: 915-929

[5]

Audrius J, Saulius G, Alfonsas M, Mindaugas A, Inga K, Audrius B, Vidmantas T. Challenges of integrating wind power plants into the electric power system: Lithuanian case. Renew Sustain Energy Rev, 2018, 94(C): 468-475

[6]

Bilgili M, Yasar A, Simsek E. Offshore wind power development in Europe and its comparison with onshore counterpart. Renew Sustain Energy Rev, 2011, 15: 905-915

[7]

Carvalho D, Rocha A, Gómez-Gesteira M, Santos CS. WRF wind simulation and wind energy production estimates forced by different reanalysis: comparison with observed data for Portugal. Appl Energy, 2014, 117: 116-126

[8]

Carvalho D, Rocha A, Gómez-Gesteira M, Santos CS. offshore wind energy resource simulation forced by different reanalysis: comparison with observed data in the Iberian Peninsula. Appl Energy, 2014, 134: 57-64

[9]

Chancham C, Waewsak J, Gagnon Y. Offshore wind resource assessment and wind power plant optimization in the Gulf of Thailand. Energy, 2017, 139: 706-731

[10]

Charabi Y, Al-Yahyai S, Gastli A. Evaluation of NWP performance for wind energy resource assessment in Oman. Renew Sustain Energy Rev, 2011, 15: 1545-1555

[11]

Colmenar-Santos A, Perera-Perez J, Borge-Diez D, dePalacio-Rodríguez C. Offshore wind energy: a review of the current status, challenges and future development in Spain. Renew Sustain Energy Rev, 2016, 64: 1-18

[12]

Doubrawa P, Barthelmie RJ, Pryor SC, Hasager CB, Badger M, Karagali L. Satellite winds as a tool for offshore wind resource assessment: the Great Lakes Wind Atlas. Remote Sens Environ, 2015, 168: 349-359

[13]

Dvorak MJ, Archer CL, Jacobson MZ. California offshore wind energy potential. Renew Energy, 2009, 35: 1244-1254

[14]

EWEA (2017) http://www.ewea.org/. Accessed Mar 2017

[15]

Fang HF. Wind energy potential assessment for the offshore areas of Taiwan west coast and Penghu Archipelago. Renew Energy, 2014, 67: 237-241

[16]

Furevik BR, Sempreviva AM, Cavaleri L, Lefèvre JM, Transerici C. Eight years of wind measurements from scatter meter for wind resource mapping in the Mediterranean Sea. Wind Energy, 2011, 14: 355-372

[17]

Gadad S, Deka PC. Offshore wind power resource assessment using Oceansat-2 scatter meter data at a regional scale. Appl Energy, 2016, 176: 157-170

[18]

GWEC (2016) http://www.gwec.net/. Accessed Dec 2016

[19]

Hasager CB, Barthelmie RJ, Christiansen MB, Nielsen M, Pryor SC. Quantifying offshore wind resources from satellite wind maps: study area the North Sea. Wind Energy, 2006, 9: 63-74

[20]

Jakub J, Jerzy M, Magdalena K, Bartłomiej C, Mirosław J. Integrating a wind- and solar-powered hybrid to the power system by coupling it with a hydroelectric power station with pumping installation. Energy, 2018, 144(C): 549-563

[21]

Jennie J, Paul D, Trieu M. Analyzing storage for wind integration in a transmission-constrained power system. Appl Energy, 2018, 228(C): 122-129

[22]

Kalogeri C, Galanis G, Spyrou C, Diamantis D, Baladima F, Koukoula M, Kallos G. Assessing the European offshore wind and wave energy resource for combined exploitation. Renew Energy, 2017, 101: 244-264

[23]

Lima DKS, Leao RPS, dos Santos ACS, de Melo FDC, Couto VM, de Noronha AWT, Oliveira DS Jr Estimating the offshore wind resources of the State of Cear’a in Brazil. Renew Energy, 2015, 83: 203-221

[24]

Mattar C, Guzm’an-Ibarra MC. A techno-economic assessment of offshore wind energy in Chile. Energy, 2017, 133: P191-P205

[25]

Membery DA. Low-level wind profiles during the Gulf Shamal. Weather, 1983, 38: 18-24

[26]

NCAR (2017) http://weather.rap.ucar.edu/

[27]

NREL (2015) Cost of Wind Energy Review. https://www.nrel.gov/docs/fy17osti/66861.pdf. Accessed Dec 2015

[28]

Pimenta F, Kempton W, Garvine R. Combining meteorological stations and satellite data to evaluate the offshore wind power resource of Southeastern Brazil. Renew Energy, 2008, 33(11): 2375-2387

[29]

Quaschning V. Understanding renewable energy systems, 2005 London Earthscan

[30]

Ramachandra T, Subramanian D, Joshi N. Wind energy potential assessment in Uttarannada district of Karnataka, India. Renew Energy, 1997, 10: 585-611

[31]

Rao PG, Al-Sulaiti M, Al-Mulla AH. Winter shamals in Qatar, Arabian Gulf. Weather, 2001, 56: 444-451

[32]

Sajadi A, Strezoski L, Clark K, Prica M, Loparo KA. Transmission system protection screening for integration of offshore wind power plants. Renew Energy, 2018, 125(C): 225-233

[33]

Sempreviva AM, Barthelmie RJ, Pryor SC. Review of methodologies for offshore wind resource assessment in European seas. Surv Geophys, 2008, 29: 471-497

[34]

Soares P, Cardoso R, Miranda P, Medeiros J, Belo-Pereira M, Espirito-Santo F. WRF high resolution dynamical downscaling of ERA-Interim for Portugal. Clim Dyn, 2012, 39: 2497-2522

[35]

Takeyama Y, Ohsawa T, Kozai K, Hasager CB, Badger M. Comparison of geophysical model functions for SAR wind speed retrieval in Japanese coastal waters. Remote Sens, 2013, 5: 1956-1973

[36]

Ulazia A, Sáenz J, Ibarra-Berastegui G, González-Rojí SJ, Carreno-Madinabeitia S. Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean. Appl Energy, 2017, 208: 1232-1245

[37]

Zheng CW, Li CY, Pan J, Liu MY, Xia LL. An overview of global ocean wind energy resource evaluations. Renew Sustain Energy Rev, 2016, 53: 1240-1251

Funding

BP Oman

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