IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v81y2015icp609-626.html
   My bibliography  Save this article

Offshore wind power potential of the Gulf of Thailand

Author

Listed:
  • Waewsak, Jompob
  • Landry, Mathieu
  • Gagnon, Yves

Abstract

Being highly dependent of imported fossil fuels for its electricity generation, Thailand has an ambitious target for the integration of renewable energy in its electricity portfolio. This paper presents the offshore wind resource map of the Gulf of Thailand, with the objective of identifying the potential areas for grid connected offshore wind power development. A coupled numerical mesoscale atmospheric model and a microscale wind flow model, along with long-term global reanalysis climate data, are used to generate high resolution (200 m) wind resource maps at heights of 40 m, 80 m, 100 m, and 120 m above sea level. The offshore wind resource maps are validated using measured wind speeds obtained from 28 meteorological towers installed along the coast of the Gulf of Thailand. The site selection of potential areas for offshore wind power development is assessed with a multi-criteria decision making analysis. Specifically to the Bay of Bangkok, results show that a technical power potential in the order of 3000 MW could be developed to generate an annual energy production estimated in the order of 6 TWh/year. For the whole Gulf of Thailand, a technical power potential estimated at 7000 MW could generate in the order of 15 TWh/year.

Suggested Citation

  • Waewsak, Jompob & Landry, Mathieu & Gagnon, Yves, 2015. "Offshore wind power potential of the Gulf of Thailand," Renewable Energy, Elsevier, vol. 81(C), pages 609-626.
  • Handle: RePEc:eee:renene:v:81:y:2015:i:c:p:609-626
    DOI: 10.1016/j.renene.2015.03.069
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115002517
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2015.03.069?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dhanju, Amardeep & Whitaker, Phillip & Kempton, Willett, 2008. "Assessing offshore wind resources: An accessible methodology," Renewable Energy, Elsevier, vol. 33(1), pages 55-64.
    2. Nicolas Gasset & Mathieu Landry & Yves Gagnon, 2012. "A Comparison of Wind Flow Models for Wind Resource Assessment in Wind Energy Applications," Energies, MDPI, vol. 5(11), pages 1-35, October.
    3. Jiang, Dong & Zhuang, Dafang & Huang, Yaohuan & Wang, Jianhua & Fu, Jingying, 2013. "Evaluating the spatio-temporal variation of China's offshore wind resources based on remotely sensed wind field data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 142-148.
    4. Raadal, Hanne Lerche & Vold, Bjørn Ivar & Myhr, Anders & Nygaard, Tor Anders, 2014. "GHG emissions and energy performance of offshore wind power," Renewable Energy, Elsevier, vol. 66(C), pages 314-324.
    5. Adelaja, Adesoji & McKeown, Charles & Calnin, Benjamin & Hailu, Yohannes, 2012. "Assessing offshore wind potential," Energy Policy, Elsevier, vol. 42(C), pages 191-200.
    6. Sheridan, Blaise & Baker, Scott D. & Pearre, Nathaniel S. & Firestone, Jeremy & Kempton, Willett, 2012. "Calculating the offshore wind power resource: Robust assessment methods applied to the U.S. Atlantic Coast," Renewable Energy, Elsevier, vol. 43(C), pages 224-233.
    7. Katsigiannis, Yiannis A. & Stavrakakis, George S., 2014. "Estimation of wind energy production in various sites in Australia for different wind turbine classes: A comparative technical and economic assessment," Renewable Energy, Elsevier, vol. 67(C), pages 230-236.
    8. Oh, Ki-Yong & Kim, Ji-Young & Lee, Jae-Kyung & Ryu, Moo-Sung & Lee, Jun-Shin, 2012. "An assessment of wind energy potential at the demonstration offshore wind farm in Korea," Energy, Elsevier, vol. 46(1), pages 555-563.
    9. Waewsak, Jompob & Landry, Mathieu & Gagnon, Yves, 2013. "High resolution wind atlas for Nakhon Si Thammarat and Songkhla provinces, Thailand," Renewable Energy, Elsevier, vol. 53(C), pages 101-110.
    10. Tabassum-Abbasi, & Premalatha, M. & Abbasi, Tasneem & Abbasi, S.A., 2014. "Wind energy: Increasing deployment, rising environmental concerns," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 270-288.
    11. Perveen, Rehana & Kishor, Nand & Mohanty, Soumya R., 2014. "Off-shore wind farm development: Present status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 780-792.
    12. Prässler, Thomas & Schaechtele, Jan, 2012. "Comparison of the financial attractiveness among prospective offshore wind parks in selected European countries," Energy Policy, Elsevier, vol. 45(C), pages 86-101.
    13. Chingulpitak, Sakkarin & Wongwises, Somchai, 2014. "Critical review of the current status of wind energy in Thailand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 312-318.
    14. Möller, Bernd & Hong, Lixuan & Lonsing, Reinhard & Hvelplund, Frede, 2012. "Evaluation of offshore wind resources by scale of development," Energy, Elsevier, vol. 48(1), pages 314-322.
    15. Fang, Hsin-Fa, 2014. "Wind energy potential assessment for the offshore areas of Taiwan west coast and Penghu Archipelago," Renewable Energy, Elsevier, vol. 67(C), pages 237-241.
    16. Santos-Alamillos, F.J. & Pozo-Vázquez, D. & Ruiz-Arias, J.A. & Lara-Fanego, V. & Tovar-Pescador, J., 2014. "A methodology for evaluating the spatial variability of wind energy resources: Application to assess the potential contribution of wind energy to baseload power," Renewable Energy, Elsevier, vol. 69(C), pages 147-156.
    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. Zheng, Chong Wei & Li, Chong Yin & Pan, Jing & Liu, Ming Yang & Xia, Lin Lin, 2016. "An overview of global ocean wind energy resource evaluations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1240-1251.
    2. Voormolen, J.A. & Junginger, H.M. & van Sark, W.G.J.H.M., 2016. "Unravelling historical cost developments of offshore wind energy in Europe," Energy Policy, Elsevier, vol. 88(C), pages 435-444.
    3. 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).
    4. Nagababu, Garlapati & Kachhwaha, Surendra Singh & Savsani, Vimal, 2017. "Estimation of technical and economic potential of offshore wind along the coast of India," Energy, Elsevier, vol. 138(C), pages 79-91.
    5. 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).
    6. Zhao, Xin-gang & Ren, Ling-zhi, 2015. "Focus on the development of offshore wind power in China: Has the golden period come?," Renewable Energy, Elsevier, vol. 81(C), pages 644-657.
    7. Chancham, Chana & Waewsak, Jompob & Gagnon, Yves, 2017. "Offshore wind resource assessment and wind power plant optimization in the Gulf of Thailand," Energy, Elsevier, vol. 139(C), pages 706-731.
    8. Ali, Shahid & Taweekun, Juntakan & Techato, Kuaanan & Waewsak, Jompob & Gyawali, Saroj, 2019. "GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand," Renewable Energy, Elsevier, vol. 132(C), pages 1360-1372.
    9. Zountouridou, E.I. & Kiokes, G.C. & Chakalis, S. & Georgilakis, P.S. & Hatziargyriou, N.D., 2015. "Offshore floating wind parks in the deep waters of Mediterranean Sea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 433-448.
    10. Watts, David & Oses, Nicolás & Pérez, Rodrigo, 2016. "Assessment of wind energy potential in Chile: A project-based regional wind supply function approach," Renewable Energy, Elsevier, vol. 96(PA), pages 738-755.
    11. Jompob Waewsak & Chana Chancham & Somphol Chiwamongkhonkarn & Yves Gagnon, 2019. "Wind Resource Assessment of the Southernmost Region of Thailand Using Atmospheric and Computational Fluid Dynamics Wind Flow Modeling," Energies, MDPI, vol. 12(10), pages 1-18, May.
    12. Nagababu, Garlapati & Kachhwaha, Surendra Singh & Naidu, Natansh K. & Savsani, Vimal, 2017. "Application of reanalysis data to estimate offshore wind potential in EEZ of India based on marine ecosystem considerations," Energy, Elsevier, vol. 118(C), pages 622-631.
    13. Castro-Santos, Laura & Martins, Elson & Guedes Soares, C., 2017. "Economic comparison of technological alternatives to harness offshore wind and wave energies," Energy, Elsevier, vol. 140(P1), pages 1121-1130.
    14. Castro-Santos, Laura & Martins, Elson & Guedes Soares, C., 2016. "Cost assessment methodology for combined wind and wave floating offshore renewable energy systems," Renewable Energy, Elsevier, vol. 97(C), pages 866-880.
    15. Ilkiliç, Cumali & Aydin, Hüseyin, 2015. "Wind power potential and usage in the coastal regions of Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 78-86.
    16. Savino, Matteo M. & Manzini, Riccardo & Della Selva, Vincenzo & Accorsi, Riccardo, 2017. "A new model for environmental and economic evaluation of renewable energy systems: The case of wind turbines," Applied Energy, Elsevier, vol. 189(C), pages 739-752.
    17. Dhunny, A.Z. & Timmons, D.S. & Allam, Z. & Lollchund, M.R. & Cunden, T.S.M., 2020. "An economic assessment of near-shore wind farm development using a weather research forecast-based genetic algorithm model," Energy, Elsevier, vol. 201(C).
    18. 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.
    19. Ismail Kamdar & Shahid Ali & Juntakan Taweekun & Hafiz Muhammad Ali, 2021. "Wind Farm Site Selection Using WAsP Tool for Application in the Tropical Region," Sustainability, MDPI, vol. 13(24), pages 1-25, December.
    20. Dong, Cong & Huang, Guohe (Gordon) & Cheng, Guanhui, 2021. "Offshore wind can power Canada," Energy, Elsevier, vol. 236(C).

    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:eee:renene:v:81:y:2015:i:c:p:609-626. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.