IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v163y2022ics1364032122004051.html
   My bibliography  Save this article

Integrated assessment of offshore wind power potential using Weather Research and Forecast (WRF) downscaling with Sentinel-1 satellite imagery, optimal sites, annual energy production and equivalent CO2 reduction

Author

Listed:
  • Tuy, Soklin
  • Lee, Han Soo
  • Chreng, Karodine

Abstract

This study aims to assess the offshore wind power potential in Cambodia using the WRF and Sentinel-1 level 2 ocean (L2 OCN) products, to evaluate potential sites and to estimate the annual energy production (AEP) and equivalent CO2 reduction. The model is initially calibrated and validated against observed onshore winds at four weather stations before its main simulation for the two-years study period of 2018–2019. As a result, the spatially averaged annual wind speed errors between the WRF and L2 OCN data are 0.70 m/s for mean bias error and 0.79 m/s for root mean square error, indicating good model performance. The annual mean wind speeds over the Cambodian Sea are 5.15 m/s, 5.20 m/s and 5.27 m/s at 80 m, 100 m and 140 m above sea level, respectively. Then, analytic hierarchy process (AHP) is applied to evaluate the optimal sites for offshore wind power generation. The most potential areas in Cambodian sea are along Kampot and Kep shoreline. The resulting AEPs are 11,949.02 GWh for 80-m V112 turbines, 20,013.34 GWh for 100-m V164 turbines and 31,880.48 GWh for 150-m HX12 turbines, which could reduce CO2 emissions by 5.48 Mt-CO2, 9.18 Mt-CO2 and 14.63 Mt-CO2 per year, respectively. If 10% of the total AEP could be generated by 2030, the offshore wind source would contribute to 1.95%, 3.27%, or 5.20% of the country's electric demands forecasted for 2030. The integrated assessment methodology and resources adopted in this study can be applicable to other regions particularly where offshore measurements are not readily available.

Suggested Citation

  • Tuy, Soklin & Lee, Han Soo & Chreng, Karodine, 2022. "Integrated assessment of offshore wind power potential using Weather Research and Forecast (WRF) downscaling with Sentinel-1 satellite imagery, optimal sites, annual energy production and equivalent C," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    • Handle: RePEc:eee:rensus:v:163:y:2022:i:c:s1364032122004051
    DOI: 10.1016/j.rser.2022.112501
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032122004051
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2022.112501?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. Charlotte Bay Hasager, 2014. "Offshore winds mapped from satellite remote sensing," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 3(6), pages 594-603, November.
    2. Vinhoza, Amanda & Schaeffer, Roberto, 2021. "Brazil's offshore wind energy potential assessment based on a Spatial Multi-Criteria Decision Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    3. Gadad, Sanjeev & Deka, Paresh Chandra, 2016. "Offshore wind power resource assessment using Oceansat-2 scatterometer data at a regional scale," Applied Energy, Elsevier, vol. 176(C), pages 157-170.
    4. Tuchtenhagen, Patrícia & Carvalho, Gilvani Gomes de & Martins, Guilherme & Silva, Pollyanne Evangelista da & Oliveira, Cristiano Prestrelo de & de Melo Barbosa Andrade, Lara & Araújo, João Medeiros de, 2020. "WRF model assessment for wind intensity and power density simulation in the southern coast of Brazil," Energy, Elsevier, vol. 190(C).
    5. 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.
    6. Carvalho, D. & Rocha, A. & Gómez-Gesteira, M. & Silva Santos, C., 2017. "Offshore winds and wind energy production estimates derived from ASCAT, OSCAT, numerical weather prediction models and buoys – A comparative study for the Iberian Peninsula Atlantic coast," Renewable Energy, Elsevier, vol. 102(PB), pages 433-444.
    7. Xsitaaz T. Chadee & Naresh R. Seegobin & Ricardo M. Clarke, 2017. "Optimizing the Weather Research and Forecasting (WRF) Model for Mapping the Near-Surface Wind Resources over the Southernmost Caribbean Islands of Trinidad and Tobago," Energies, MDPI, vol. 10(7), pages 1-23, July.
    8. 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.
    9. Mattar, Cristian & Borvarán, Dager, 2016. "Offshore wind power simulation by using WRF in the central coast of Chile," Renewable Energy, Elsevier, vol. 94(C), pages 22-31.
    10. Sarraf, M. & Rismanchi, B. & Saidur, R. & Ping, H.W. & Rahim, N.A., 2013. "Renewable energy policies for sustainable development in Cambodia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 223-229.
    11. Hong, Lixuan & Möller, Bernd, 2011. "Offshore wind energy potential in China: Under technical, spatial and economic constraints," Energy, Elsevier, vol. 36(7), pages 4482-4491.
    12. Janjai, S. & Pankaew, P. & Laksanaboonsong, J. & Kitichantaropas, P., 2011. "Estimation of solar radiation over Cambodia from long-term satellite data," Renewable Energy, Elsevier, vol. 36(4), pages 1214-1220.
    13. Arun Kumar, Surisetty V.V. & Nagababu, Garlapati & Kumar, Raj, 2019. "Comparative study of offshore winds and wind energy production derived from multiple scatterometers and met buoys," Energy, Elsevier, vol. 185(C), pages 599-611.
    14. González-Alonso de Linaje, N. & Mattar, C. & Borvarán, D., 2019. "Quantifying the wind energy potential differences using different WRF initial conditions on Mediterranean coast of Chile," Energy, Elsevier, vol. 188(C).
    15. Majidi Nezhad, M. & Groppi, D. & Marzialetti, P. & Fusilli, L. & Laneve, G. & Cumo, F. & Garcia, D. Astiaso, 2019. "Wind energy potential analysis using Sentinel-1 satellite: A review and a case study on Mediterranean islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 499-513.
    16. 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.
    17. 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.
    18. Salvação, N. & Guedes Soares, C., 2018. "Wind resource assessment offshore the Atlantic Iberian coast with the WRF model," Energy, Elsevier, vol. 145(C), pages 276-287.
    19. Saint-Drenan, Yves-Marie & Besseau, Romain & Jansen, Malte & Staffell, Iain & Troccoli, Alberto & Dubus, Laurent & Schmidt, Johannes & Gruber, Katharina & Simões, Sofia G. & Heier, Siegfried, 2020. "A parametric model for wind turbine power curves incorporating environmental conditions," Renewable Energy, Elsevier, vol. 157(C), pages 754-768.
    20. Carvalho, D. & Rocha, A. & Gómez-Gesteira, M. & Silva Santos, C., 2014. "WRF wind simulation and wind energy production estimates forced by different reanalyses: Comparison with observed data for Portugal," Applied Energy, Elsevier, vol. 117(C), pages 116-126.
    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. Yevang Nhiavue & Han Soo Lee & Sylvester William Chisale & Jonathan Salar Cabrera, 2022. "Prioritization of Renewable Energy for Sustainable Electricity Generation and an Assessment of Floating Photovoltaic Potential in Lao PDR," Energies, MDPI, vol. 15(21), pages 1-20, November.

    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. Dong, Cong & Huang, Guohe (Gordon) & Cheng, Guanhui, 2021. "Offshore wind can power Canada," Energy, Elsevier, vol. 236(C).
    2. 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).
    3. de Assis Tavares, Luiz Filipe & Shadman, Milad & Assad, Luiz Paulo de Freitas & Estefen, Segen F., 2022. "Influence of the WRF model and atmospheric reanalysis on the offshore wind resource potential and cost estimation: A case study for Rio de Janeiro State," Energy, Elsevier, vol. 240(C).
    4. Salvação, Nadia & Bentamy, Abderrahim & Guedes Soares, C., 2022. "Developing a new wind dataset by blending satellite data and WRF model wind predictions," Renewable Energy, Elsevier, vol. 198(C), pages 283-295.
    5. Salvação, N. & Guedes Soares, C., 2018. "Wind resource assessment offshore the Atlantic Iberian coast with the WRF model," Energy, Elsevier, vol. 145(C), pages 276-287.
    6. Tuchtenhagen, Patrícia & Carvalho, Gilvani Gomes de & Martins, Guilherme & Silva, Pollyanne Evangelista da & Oliveira, Cristiano Prestrelo de & de Melo Barbosa Andrade, Lara & Araújo, João Medeiros de, 2020. "WRF model assessment for wind intensity and power density simulation in the southern coast of Brazil," Energy, Elsevier, vol. 190(C).
    7. P Patel, Ravi & Nagababu, Garlapati & Kachhwaha, Surendra Singh & V V Arun Kumar, Surisetty & M, Seemanth, 2022. "Combined wind and wave resource assessment and energy extraction along the Indian coast," Renewable Energy, Elsevier, vol. 195(C), pages 931-945.
    8. Cristian Mattar & Felipe Cabello-Españon & Nicolas G. Alonso-de-Linaje, 2021. "Towards a Future Scenario for Offshore Wind Energy in Chile: Breaking the Paradigm," Sustainability, MDPI, vol. 13(13), pages 1-16, June.
    9. He, J.Y. & Chan, P.W. & Li, Q.S. & Lee, C.W., 2022. "Characterizing coastal wind energy resources based on sodar and microwave radiometer observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    10. Arun Kumar, Surisetty V.V. & Nagababu, Garlapati & Kumar, Raj, 2019. "Comparative study of offshore winds and wind energy production derived from multiple scatterometers and met buoys," Energy, Elsevier, vol. 185(C), pages 599-611.
    11. 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.
    12. Peters, Jared L. & Remmers, Tiny & Wheeler, Andrew J. & Murphy, Jimmy & Cummins, Valerie, 2020. "A systematic review and meta-analysis of GIS use to reveal trends in offshore wind energy research and offer insights on best practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 128(C).
    13. Elsner, Paul, 2019. "Continental-scale assessment of the African offshore wind energy potential: Spatial analysis of an under-appreciated renewable energy resource," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 394-407.
    14. Gil Ruiz, Samuel Andrés & Cañón Barriga, Julio Eduardo & Martínez, J. Alejandro, 2022. "Assessment and validation of wind power potential at convection-permitting resolution for the Caribbean region of Colombia," Energy, Elsevier, vol. 244(PB).
    15. Perini de Souza, Noele Bissoli & Sperandio Nascimento, Erick Giovani & Bandeira Santos, Alex Alisson & Moreira, Davidson Martins, 2022. "Wind mapping using the mesoscale WRF model in a tropical region of Brazil," Energy, Elsevier, vol. 240(C).
    16. Liu, Yichao & Chen, Daoyi & Li, Sunwei & Chan, P.W., 2018. "Discerning the spatial variations in offshore wind resources along the coast of China via dynamic downscaling," Energy, Elsevier, vol. 160(C), pages 582-596.
    17. Gil-García, Isabel C. & Ramos-Escudero, Adela & García-Cascales, M.S. & Dagher, Habib & Molina-García, A., 2022. "Fuzzy GIS-based MCDM solution for the optimal offshore wind site selection: The Gulf of Maine case," Renewable Energy, Elsevier, vol. 183(C), pages 130-147.
    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. Virtanen, E.A. & Lappalainen, J. & Nurmi, M. & Viitasalo, M. & Tikanmäki, M. & Heinonen, J. & Atlaskin, E. & Kallasvuo, M. & Tikkanen, H. & Moilanen, A., 2022. "Balancing profitability of energy production, societal impacts and biodiversity in offshore wind farm design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    20. González-Alonso de Linaje, N. & Mattar, C. & Borvarán, D., 2019. "Quantifying the wind energy potential differences using different WRF initial conditions on Mediterranean coast of Chile," Energy, Elsevier, vol. 188(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:rensus:v:163:y:2022:i:c:s1364032122004051. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.