IDEAS home Printed from https://ideas.repec.org/a/ibn/eerjnl/v6y2016i2p36.html
   My bibliography  Save this article

Wind Energy Potentials and Its Trend in the South China Sea

Author

Listed:
  • Adekunle Osinowo
  • Xiaopei Lin
  • Dongliang Zhao
  • Zhifeng Wang

Abstract

Using a 30year (1976-2005) daily high-resolution reanalysis wind field dataset assimilated from several meteorological data sources, the wind speed and power characteristics of the South China Sea (SCS) were investigated using the Weibull shape and scale parameters. The region in general showed good wind characteristics. This is shown by high annual mean wind speed and power density values which are 5.93 m/s and 273.84 W/m2 respectively. The calculated annual mean wind power resource attributes the region to a relatively high potential site for large- scale grid connected wind turbine applications. The wind power ranged between 96.27 W/m2 in May and 527.03 W/m2 in December. Furthermore, spatio-temporal variations showed that strong trends in wind power exist in Luzon strait in the northern SCS and Xisha, Zhongsha, Luzon, Liyue bank in the central SCS which are evaluated as high wind potential regions and may be rated as locations excellent for installation of large wind turbines for electrical energy generation. Non-significant and negative trends dominate the southern SCS and may therefore, be suitable for small wind applications. The wind power density exhibited a significant increasing trend of 1.4 W/m2 yr-1 in the SCS as a whole throughout the study period. The trend is strongest (2.8 W/m2 yr-1) in winter.

Suggested Citation

  • Adekunle Osinowo & Xiaopei Lin & Dongliang Zhao & Zhifeng Wang, 2016. "Wind Energy Potentials and Its Trend in the South China Sea," Energy and Environment Research, Canadian Center of Science and Education, vol. 6(2), pages 1-36, December.
  • Handle: RePEc:ibn:eerjnl:v:6:y:2016:i:2:p:36
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/eer/article/download/64873/35034
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/eer/article/view/64873
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Keyhani, A. & Ghasemi-Varnamkhasti, M. & Khanali, M. & Abbaszadeh, R., 2010. "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran," Energy, Elsevier, vol. 35(1), pages 188-201.
    2. Xydis, G. & Koroneos, C. & Loizidou, M., 2009. "Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece," Applied Energy, Elsevier, vol. 86(11), pages 2411-2420, November.
    3. Saleh, H. & Abou El-Azm Aly, A. & Abdel-Hady, S., 2012. "Assessment of different methods used to estimate Weibull distribution parameters for wind speed in Zafarana wind farm, Suez Gulf, Egypt," Energy, Elsevier, vol. 44(1), pages 710-719.
    Full references (including those not matched with items on IDEAS)

    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. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    2. Tasir Khan & Ishfaq Ahmad & Yejuan Wang & Muhammad Salam & Amina Shahzadi & Masooma Batool, 2024. "Comparison approach for wind resource assessment to determine the most precise approach," Energy & Environment, , vol. 35(3), pages 1315-1338, May.
    3. Mostafaeipour, Ali & Jadidi, Mohsen & Mohammadi, Kasra & Sedaghat, Ahmad, 2014. "An analysis of wind energy potential and economic evaluation in Zahedan, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 641-650.
    4. Mekalathur B Hemanth Kumar & Saravanan Balasubramaniyan & Sanjeevikumar Padmanaban & Jens Bo Holm-Nielsen, 2019. "Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India," Energies, MDPI, vol. 12(11), pages 1-21, June.
    5. Jiang, He & Wang, Jianzhou & Dong, Yao & Lu, Haiyan, 2015. "Comprehensive assessment of wind resources and the low-carbon economy: An empirical study in the Alxa and Xilin Gol Leagues of inner Mongolia, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1304-1319.
    6. Mohammadi, Kasra & Mostafaeipour, Ali & Sabzpooshani, Majid, 2014. "Assessment of solar and wind energy potentials for three free economic and industrial zones of Iran," Energy, Elsevier, vol. 67(C), pages 117-128.
    7. Suzer, Ahmet Esat & Atasoy, Vehbi Emrah & Ekici, Selcuk, 2021. "Developing a holistic simulation approach for parametric techno-economic analysis of wind energy," Energy Policy, Elsevier, vol. 149(C).
    8. Fazelpour, Farivar & Markarian, Elin & Soltani, Nima, 2017. "Wind energy potential and economic assessment of four locations in Sistan and Balouchestan province in Iran," Renewable Energy, Elsevier, vol. 109(C), pages 646-667.
    9. 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.
    10. Fei Zhao & Yihan Gao & Tengyuan Wang & Jinsha Yuan & Xiaoxia Gao, 2020. "Experimental Study on Wake Evolution of a 1.5 MW Wind Turbine in a Complex Terrain Wind Farm Based on LiDAR Measurements," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    11. Akdag, Seyit Ahmet & Güler, Önder, 2010. "Evaluation of wind energy investment interest and electricity generation cost analysis for Turkey," Applied Energy, Elsevier, vol. 87(8), pages 2574-2580, August.
    12. Seyed Reza Mirnezami & Amin Mohseni Cheraghlou, 2022. "Wind Power in Iran: Technical, Policy, and Financial Aspects for Better Energy Resource Management," Energies, MDPI, vol. 15(9), pages 1-18, April.
    13. Chandel, S.S. & Ramasamy, P. & Murthy, K.S.R, 2014. "Wind power potential assessment of 12 locations in western Himalayan region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 530-545.
    14. Fazelpour, Farivar & Soltani, Nima & Soltani, Sina & Rosen, Marc A., 2015. "Assessment of wind energy potential and economics in the north-western Iranian cities of Tabriz and Ardabil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 87-99.
    15. Youssef Kassem & Hüseyin Çamur & Ramzi Aateg Faraj Aateg, 2020. "Exploring Solar and Wind Energy as a Power Generation Source for Solving the Electricity Crisis in Libya," Energies, MDPI, vol. 13(14), pages 1-29, July.
    16. Jia, Junmei & Yan, Zaizai & Peng, Xiuyun & An, Xiaoyan, 2020. "A new distribution for modeling the wind speed data in Inner Mongolia of China," Renewable Energy, Elsevier, vol. 162(C), pages 1979-1991.
    17. Wang, Jianzhou & Huang, Xiaojia & Li, Qiwei & Ma, Xuejiao, 2018. "Comparison of seven methods for determining the optimal statistical distribution parameters: A case study of wind energy assessment in the large-scale wind farms of China," Energy, Elsevier, vol. 164(C), pages 432-448.
    18. Kirchner-Bossi, N. & Prieto, L. & García-Herrera, R. & Carro-Calvo, L. & Salcedo-Sanz, S., 2013. "Multi-decadal variability in a centennial reconstruction of daily wind," Applied Energy, Elsevier, vol. 105(C), pages 30-46.
    19. Fan, YaJun & Mu, AnLe & Ma, Tao, 2016. "Modeling and control of a hybrid wind-tidal turbine with hydraulic accumulator," Energy, Elsevier, vol. 112(C), pages 188-199.
    20. Hepbasli, Arif & Alsuhaibani, Zeyad, 2011. "Exergetic and exergoeconomic aspects of wind energy systems in achieving sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2810-2825, August.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:eerjnl:v:6:y:2016:i:2:p:36. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.