IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i4p1178-d504023.html
   My bibliography  Save this article

Long-Term Assessment of Onshore and Offshore Wind Energy Potentials of Qatar

Author

Listed:
  • Valliyil Mohammed Aboobacker

    (Environmental Science Center, Qatar University, Doha 2713, Qatar)

  • Puthuveetil Razak Shanas

    (CSIR-National Institute of Oceanography, Dona Paula, Goa 403 004, India)

  • Subramanian Veerasingam

    (Environmental Science Center, Qatar University, Doha 2713, Qatar)

  • Ebrahim M. A. S. Al-Ansari

    (Environmental Science Center, Qatar University, Doha 2713, Qatar)

  • Fadhil N. Sadooni

    (Environmental Science Center, Qatar University, Doha 2713, Qatar)

  • Ponnumony Vethamony

    (Environmental Science Center, Qatar University, Doha 2713, Qatar)

Abstract

Exploitation of conventional energy resources has caused a deliberate increase in the emitted carbon in the atmosphere, which catalyzes global warming trends. This is a matter of concern, especially in Qatar, where fossil fuels (oil and gas) are largely relied upon for power production. The dependency on such resources could be gradually reduced by utilizing clean and renewable energy. Resource characterization is an important step to evaluate the potentiality of available renewable energy sources. Wind energy is one among them, which has not been assessed reliably so far in Qatar. We analyzed the wind energy potential along the onshore and offshore areas of Qatar using 40 years (1979–2018) of hourly wind data extracted from the ECMWF Reanalysis v5 (ERA5) database. Monthly, seasonal, annual, and decadal mean wind power densities have been derived. Reliability tests have been carried out at select onshore and offshore locations. Trends and inter-annual variability have been assessed. The study reveals that the available wind resources are generally moderate but consistent with no intense trends during the 40 year period. An inter-annual variability in wind power has been identified, which has secured links with the El Niño–Southern Oscillation (ENSO).

Suggested Citation

  • Valliyil Mohammed Aboobacker & Puthuveetil Razak Shanas & Subramanian Veerasingam & Ebrahim M. A. S. Al-Ansari & Fadhil N. Sadooni & Ponnumony Vethamony, 2021. "Long-Term Assessment of Onshore and Offshore Wind Energy Potentials of Qatar," Energies, MDPI, vol. 14(4), pages 1-21, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1178-:d:504023
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/4/1178/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/4/1178/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Al-Nassar, W.K. & Neelamani, S. & Al-Salem, K.A. & Al-Dashti, H.A., 2019. "Feasibility of offshore wind energy as an alternative source for the state of Kuwait," Energy, Elsevier, vol. 169(C), pages 783-796.
    2. Amirinia, Gholamreza & Mafi, Somayeh & Mazaheri, Said, 2017. "Offshore wind resource assessment of Persian Gulf using uncertainty analysis and GIS," Renewable Energy, Elsevier, vol. 113(C), pages 915-929.
    3. Mahmoodi, Kumars & Ghassemi, Hassan & Razminia, Abolhassan, 2019. "Temporal and spatial characteristics of wave energy in the Persian Gulf based on the ERA5 reanalysis dataset," Energy, Elsevier, vol. 187(C).
    4. V. Sanil Kumar & Aswathy B. Asok & Jesbin George & M. M. Amrutha, 2020. "Regional Study of Changes in Wind Power in the Indian Shelf Seas over the Last 40 Years," Energies, MDPI, vol. 13(9), pages 1-23, May.
    5. Alnaser, W.E. & Almohanadi, A.H., 1990. "Wind and solar energy in Qatar," Energy, Elsevier, vol. 15(10), pages 931-934.
    6. Balog, Irena & Ruti, Paolo M. & Tobin, Isabelle & Armenio, Vincenzo & Vautard, Robert, 2016. "A numerical approach for planning offshore wind farms from regional to local scales over the Mediterranean," Renewable Energy, Elsevier, vol. 85(C), pages 395-405.
    7. Ahmed Shata, A.S. & Hanitsch, R., 2006. "The potential of electricity generation on the east coast of Red Sea in Egypt," Renewable Energy, Elsevier, vol. 31(10), pages 1597-1615.
    8. Yip, Chak Man Andrew & Gunturu, Udaya Bhaskar & Stenchikov, Georgiy L., 2016. "Wind resource characterization in the Arabian Peninsula," Applied Energy, Elsevier, vol. 164(C), pages 826-836.
    9. Kucukali, Serhat & Dinçkal, Çiğdem, 2014. "Wind energy resource assessment of Izmit in the West Black Sea Coastal Region of Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 790-795.
    10. Ucar, Aynur & Balo, Figen, 2009. "Evaluation of wind energy potential and electricity generation at six locations in Turkey," Applied Energy, Elsevier, vol. 86(10), pages 1864-1872, October.
    11. Marafia, A-Hamid & Ashour, Hamdy A., 2003. "Economics of off-shore/on-shore wind energy systems in Qatar," Renewable Energy, Elsevier, vol. 28(12), pages 1953-1963.
    12. Bentley, R. W., 2002. "Global oil & gas depletion: an overview," Energy Policy, Elsevier, vol. 30(3), pages 189-205, February.
    13. Kalogeri, Christina & Galanis, George & Spyrou, Christos & Diamantis, Dimitris & Baladima, Foteini & Koukoula, Marika & Kallos, George, 2017. "Assessing the European offshore wind and wave energy resource for combined exploitation," Renewable Energy, Elsevier, vol. 101(C), pages 244-264.
    14. Ulazia, Alain & Sáenz, Jon & Ibarra-Berastegi, Gabriel & González-Rojí, Santos J. & Carreno-Madinabeitia, Sheila, 2019. "Global estimations of wind energy potential considering seasonal air density changes," Energy, Elsevier, vol. 187(C).
    15. Olauson, Jon, 2018. "ERA5: The new champion of wind power modelling?," Renewable Energy, Elsevier, vol. 126(C), pages 322-331.
    16. Li, H. & Chen, Z., 2009. "Design optimization and site matching of direct-drive permanent magnet wind power generator systems," Renewable Energy, Elsevier, vol. 34(4), pages 1175-1184.
    17. Carlos Méndez & Yusuf Bicer, 2019. "Qatar’s Wind Energy Potential with Associated Financial and Environmental Benefits for the Natural Gas Industry," Energies, MDPI, vol. 12(17), pages 1-19, August.
    18. Chang, Tian Pau, 2011. "Estimation of wind energy potential using different probability density functions," Applied Energy, Elsevier, vol. 88(5), pages 1848-1856, May.
    19. Langodan, Sabique & Viswanadhapalli, Yesubabu & Dasari, Hari Prasad & Knio, Omar & Hoteit, Ibrahim, 2016. "A high-resolution assessment of wind and wave energy potentials in the Red Sea," Applied Energy, Elsevier, vol. 181(C), pages 244-255.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eugen Rusu, 2022. "Marine Renewable Energy: An Important Direction in Taking the Green Road towards a Low Carbon Future," Energies, MDPI, vol. 15(15), pages 1-3, July.
    2. Gyanendra Singh Sisodia & Wafa Mohammed Ebrahim Al Mazrouei & Rajesh Mohnot & Aqila Rafiuddin, 2023. "Economic Risk of Wind Farm Investments in UAE: Evaluation through Real Options Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 658-666, September.
    3. Xinghua Liu & Shenghan Xie & Chen Geng & Jianning Yin & Gaoxi Xiao & Hui Cao, 2021. "Optimal Evolutionary Dispatch for Integrated Community Energy Systems Considering Uncertainties of Renewable Energy Sources and Internal Loads," Energies, MDPI, vol. 14(12), pages 1-16, June.
    4. Amar Azhar & Huzaifa Hashim, 2023. "A Review of Wind Clustering Methods Based on the Wind Speed and Trend in Malaysia," Energies, MDPI, vol. 16(8), pages 1-24, April.
    5. Giovanni Gualtieri, 2021. "Reliability of ERA5 Reanalysis Data for Wind Resource Assessment: A Comparison against Tall Towers," Energies, MDPI, vol. 14(14), pages 1-21, July.
    6. Geovanni Hernández Galvez & Daniel Chuck Liévano & Omar Sarracino Martínez & Orlando Lastres Danguillecourt & José Rafael Dorrego Portela & Antonio Trujillo Narcía & Ricardo Saldaña Flores & Liliana P, 2022. "Harnessing Offshore Wind Energy along the Mexican Coastline in the Gulf of Mexico—An Exploratory Study including Sustainability Criteria," Sustainability, MDPI, vol. 14(10), pages 1-26, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Xinping & Foley, Aoife & Zhang, Zenghai & Wang, Kaimin & O'Driscoll, Kieran, 2020. "An assessment of wind energy potential in the Beibu Gulf considering the energy demands of the Beibu Gulf Economic Rim," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    2. Majidi Nezhad, Meysam & Neshat, Mehdi & Piras, Giuseppe & Astiaso Garcia, Davide, 2022. "Sites exploring prioritisation of offshore wind energy potential and mapping for wind farms installation: Iranian islands case studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Gualtieri, G., 2022. "Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Soukissian, Takvor H. & Karathanasi, Flora E., 2017. "On the selection of bivariate parametric models for wind data," Applied Energy, Elsevier, vol. 188(C), pages 280-304.
    5. Wang, Jianzhou & Hu, Jianming & Ma, Kailiang, 2016. "Wind speed probability distribution estimation and wind energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 881-899.
    6. Gil Ruiz, Samuel Andrés & Barriga, Julio Eduardo Cañón & Martínez, J. Alejandro, 2021. "Wind power assessment in the Caribbean region of Colombia, using ten-minute wind observations and ERA5 data," Renewable Energy, Elsevier, vol. 172(C), pages 158-176.
    7. Liang, Yushi & Wu, Chunbing & Ji, Xiaodong & Zhang, Mulan & Li, Yiran & He, Jianjun & Qin, Zhiheng, 2022. "Estimation of the influences of spatiotemporal variations in air density on wind energy assessment in China based on deep neural network," Energy, Elsevier, vol. 239(PC).
    8. Zhang, Shuangyi & Li, Xichen, 2021. "Future projections of offshore wind energy resources in China using CMIP6 simulations and a deep learning-based downscaling method," Energy, Elsevier, vol. 217(C).
    9. Nie, Bingchuan & Li, Jiachun, 2018. "Technical potential assessment of offshore wind energy over shallow continent shelf along China coast," Renewable Energy, Elsevier, vol. 128(PA), pages 391-399.
    10. Mohandes, M. & Rehman, S. & Rahman, S.M., 2011. "Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)," Applied Energy, Elsevier, vol. 88(11), pages 4024-4032.
    11. Chang, Tian-Pau & Ko, Hong-Hsi & Liu, Feng-Jiao & Chen, Pai-Hsun & Chang, Ying-Pin & Liang, Ying-Hsin & Jang, Horng-Yuan & Lin, Tsung-Chi & Chen, Yi-Hwa, 2012. "Fractal dimension of wind speed time series," Applied Energy, Elsevier, vol. 93(C), pages 742-749.
    12. Deep, Sneh & Sarkar, Arnab & Ghawat, Mayur & Rajak, Manoj Kumar, 2020. "Estimation of the wind energy potential for coastal locations in India using the Weibull model," Renewable Energy, Elsevier, vol. 161(C), pages 319-339.
    13. Giovanni Gualtieri, 2021. "Reliability of ERA5 Reanalysis Data for Wind Resource Assessment: A Comparison against Tall Towers," Energies, MDPI, vol. 14(14), pages 1-21, July.
    14. Christina Ortega & Amin Younes & Mark Severy & Charles Chamberlin & Arne Jacobson, 2020. "Resource and Load Compatibility Assessment of Wind Energy Offshore of Humboldt County, California," Energies, MDPI, vol. 13(21), pages 1-27, October.
    15. Yang, Zihao & Dong, Sheng, 2024. "A novel framework for wind energy assessment at multi-time scale based on non-stationary wind speed models: A case study in China," Renewable Energy, Elsevier, vol. 226(C).
    16. Bahaj, AbuBakr S. & Mahdy, Mostafa & Alghamdi, Abdulsalam S. & Richards, David J., 2020. "New approach to determine the Importance Index for developing offshore wind energy potential sites: Supported by UK and Arabian Peninsula case studies," Renewable Energy, Elsevier, vol. 152(C), pages 441-457.
    17. Bahareh Kamranzad & George Lavidas & Kaoru Takara, 2020. "Spatio-Temporal Assessment of Climate Change Impact on Wave Energy Resources Using Various Time Dependent Criteria," Energies, MDPI, vol. 13(3), pages 1-12, February.
    18. Siyavash Filom & Soheil Radfar & Roozbeh Panahi & Erfan Amini & Mehdi Neshat, 2021. "Exploring Wind Energy Potential as a Driver of Sustainable Development in the Southern Coasts of Iran: The Importance of Wind Speed Statistical Distribution Model," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    19. Saif Mubaarak & Delong Zhang & Jinxin Liu & Yongcong Chen & Longze Wang & Sayed A. Zaki & Rongfang Yuan & Jing Wu & Yan Zhang & Meicheng Li, 2020. "Potential Techno-Economic Feasibility of Hybrid Energy Systems for Electrifying Various Consumers in Yemen," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    20. Rusu, Eugen & Onea, Florin, 2019. "A parallel evaluation of the wind and wave energy resources along the Latin American and European coastal environments," Renewable Energy, Elsevier, vol. 143(C), pages 1594-1607.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1178-:d:504023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.