IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v262y2020ics0306261920300490.html
   My bibliography  Save this article

On the suitability of offshore wind energy resource in the United States of America for the 21st century

Author

Listed:
  • Costoya, X.
  • deCastro, M.
  • Carvalho, D.
  • Gómez-Gesteira, M.

Abstract

Despite the United States of America offshore wind energy sector is currently ramping up in terms of offshore wind farms projects and investment, installed offshore wind farms are yet scarce in the country (30 MW currently installed). Therefore, it is necessary to analyze the current offshore wind energy resource and the projected future variations since an important development is expected in the next decade for the United States offshore wind energy sector. With this aim, simulations from 12 Regional Climate Models from North America Coordinated Regional Climate Downscalling Experiment were used after proving its reliability by comparing the wind speed from simulations with in-situ data. A decrease of the offshore wind energy resource is projected along the 21st century in the United States, especially in the east coast. The central west coast is the only exception to this decrease trend during the near and mid future. In addition, the offshore wind energy resource was classified following a Delphi approach and considering three factors: wind energy, environmental risk and costs. Under this classification, most of the area under scope in both coasts was classified at least as a 4, which is considered as “good” resource. A higher wind energy resource was found for the west coast, with vast coastal areas categorized as 5 (“excellent”). A slight decrease was projected on the United States east coast, mainly caused by a reduction in the indices related to the mean wind speed and the stability of the resource throughout the year.

Suggested Citation

  • Costoya, X. & deCastro, M. & Carvalho, D. & Gómez-Gesteira, M., 2020. "On the suitability of offshore wind energy resource in the United States of America for the 21st century," Applied Energy, Elsevier, vol. 262(C).
  • Handle: RePEc:eee:appene:v:262:y:2020:i:c:s0306261920300490
    DOI: 10.1016/j.apenergy.2020.114537
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920300490
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2020.114537?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. Costoya, X. & deCastro, M. & Santos, F. & Sousa, M.C. & Gómez-Gesteira, M., 2019. "Projections of wind energy resources in the Caribbean for the 21st century," Energy, Elsevier, vol. 178(C), pages 356-367.
    2. Li, Delei & Geyer, Beate & Bisling, Peter, 2016. "A model-based climatology analysis of wind power resources at 100-m height over the Bohai Sea and the Yellow Sea," Applied Energy, Elsevier, vol. 179(C), pages 575-589.
    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. Koletsis, I. & Kotroni, V. & Lagouvardos, K. & Soukissian, T., 2016. "Assessment of offshore wind speed and power potential over the Mediterranean and the Black Seas under future climate changes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 234-245.
    5. 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.
    6. 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.
    7. Zheng, Chong-wei & Xiao, Zi-niu & Peng, Yue-hua & Li, Chong-yin & Du, Zhi-bo, 2018. "Rezoning global offshore wind energy resources," Renewable Energy, Elsevier, vol. 129(PA), pages 1-11.
    8. Santiago Salvador & Xurxo Costoya & Francisco Javier Sanz-Larruga & Luis Gimeno, 2018. "Development of Offshore Wind Power: Contrasting Optimal Wind Sites with Legal Restrictions in Galicia, Spain," Energies, MDPI, vol. 11(4), pages 1-25, March.
    9. Draxl, Caroline & Clifton, Andrew & Hodge, Bri-Mathias & McCaa, Jim, 2015. "The Wind Integration National Dataset (WIND) Toolkit," Applied Energy, Elsevier, vol. 151(C), pages 355-366.
    10. Wang, Yi-Hui & Walter, Ryan K. & White, Crow & Farr, Hayley & Ruttenberg, Benjamin I., 2019. "Assessment of surface wind datasets for estimating offshore wind energy along the Central California Coast," Renewable Energy, Elsevier, vol. 133(C), pages 343-353.
    11. Santos, F. & Gómez-Gesteira, M. & deCastro, M. & Añel, J.A. & Carvalho, D. & Costoya, Xurxo & Dias, J.M., 2018. "On the accuracy of CORDEX RCMs to project future winds over the Iberian Peninsula and surrounding ocean," Applied Energy, Elsevier, vol. 228(C), pages 289-300.
    12. deCastro, M. & Salvador, S. & Gómez-Gesteira, M. & Costoya, X. & Carvalho, D. & Sanz-Larruga, F.J. & Gimeno, L., 2019. "Europe, China and the United States: Three different approaches to the development of offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 55-70.
    13. Johnson, Dana L. & Erhardt, Robert J., 2016. "Projected impacts of climate change on wind energy density in the United States," Renewable Energy, Elsevier, vol. 85(C), pages 66-73.
    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. Gkeka-Serpetsidaki, Pandora & Papadopoulos, Stylianos & Tsoutsos, Theocharis, 2022. "Assessment of the visual impact of offshore wind farms," Renewable Energy, Elsevier, vol. 190(C), pages 358-370.
    2. Vu Dinh, Quang & Doan, Quang-Van & Ngo-Duc, Thanh & Nguyen Dinh, Van & Dinh Duc, Nguyen, 2022. "Offshore wind resource in the context of global climate change over a tropical area," Applied Energy, Elsevier, vol. 308(C).
    3. Jung, Christopher & Schindler, Dirk, 2022. "A review of recent studies on wind resource projections under climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    4. Liu, Min & Qin, Jianjun & Lu, Da-Gang & Zhang, Wei-Heng & Zhu, Jiang-Sheng & Faber, Michael Havbro, 2022. "Towards resilience of offshore wind farms: A framework and application to asset integrity management," Applied Energy, Elsevier, vol. 322(C).
    5. 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.
    6. de Faria, Victor A.D. & de Queiroz, Anderson R. & DeCarolis, Joseph F., 2022. "Optimizing offshore renewable portfolios under resource variability," Applied Energy, Elsevier, vol. 326(C).
    7. Benini, Giacomo & Cattani, Gilles, 2022. "Measuring the long run technical efficiency of offshore wind farms," Applied Energy, Elsevier, vol. 308(C).
    8. Costoya, X. & deCastro, M. & Carvalho, D. & Gómez-Gesteira, M., 2023. "Assessing the complementarity of future hybrid wind and solar photovoltaic energy resources for North America," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    9. Martin, Sean & Jung, Sungmoon & Vanli, Arda, 2020. "Impact of near-future turbine technology on the wind power potential of low wind regions," Applied Energy, Elsevier, vol. 272(C).
    10. Martinez, A. & Murphy, L. & Iglesias, G., 2023. "Evolution of offshore wind resources in Northern Europe under climate change," Energy, Elsevier, vol. 269(C).
    11. Ribeiro, A.S. & deCastro, M. & Costoya, X. & Rusu, Liliana & Dias, J.M. & Gomez-Gesteira, M., 2021. "A Delphi method to classify wave energy resource for the 21st century: Application to the NW Iberian Peninsula," Energy, Elsevier, vol. 235(C).
    12. Abramic, A. & García Mendoza, A. & Haroun, R., 2021. "Introducing offshore wind energy in the sea space: Canary Islands case study developed under Maritime Spatial Planning principles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    13. Liu, Weifeng & Zhu, Feilin & Zhao, Tongtiegang & Wang, Hao & Lei, Xiaohui & Zhong, Ping-an & Fthenakis, Vasilis, 2020. "Optimal stochastic scheduling of hydropower-based compensation for combined wind and photovoltaic power outputs," Applied Energy, Elsevier, vol. 276(C).
    14. Wang, Huaizhi & Liu, Yangyang & Zhou, Bin & Voropai, Nikolai & Cao, Guangzhong & Jia, Youwei & Barakhtenko, Evgeny, 2020. "Advanced adaptive frequency support scheme for DFIG under cyber uncertainty," Renewable Energy, Elsevier, vol. 161(C), pages 98-109.
    15. He, J.Y. & Li, Q.S. & Chan, P.W. & Zhao, X.D., 2023. "Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach," Applied Energy, Elsevier, vol. 329(C).
    16. Laha, Priyanka & Chakraborty, Basab, 2021. "Low carbon electricity system for India in 2030 based on multi-objective multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    17. Nezhad, M. Majidi & Neshat, M. & Heydari, A. & Razmjoo, A. & Piras, G. & Garcia, D. Astiaso, 2021. "A new methodology for offshore wind speed assessment integrating Sentinel-1, ERA-Interim and in-situ measurement," Renewable Energy, Elsevier, vol. 172(C), pages 1301-1313.
    18. He, J.Y. & Chan, P.W. & Li, Q.S. & Tong, H.W., 2023. "Mapping future offshore wind resources in the South China Sea under climate change by regional climate modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    19. 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.
    20. Carvalho, D. & Rocha, A. & Costoya, X. & deCastro, M. & Gómez-Gesteira, M., 2021. "Wind energy resource over Europe under CMIP6 future climate projections: What changes from CMIP5 to CMIP6," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    21. Costoya, X. & deCastro, M. & Carvalho, D. & Arguilé-Pérez, B. & Gómez-Gesteira, M., 2022. "Combining offshore wind and solar photovoltaic energy to stabilize energy supply under climate change scenarios: A case study on the western Iberian Peninsula," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    22. Costoya, X. & deCastro, M. & Carvalho, D. & Feng, Z. & Gómez-Gesteira, M., 2021. "Climate change impacts on the future offshore wind energy resource in China," Renewable Energy, Elsevier, vol. 175(C), pages 731-747.
    23. 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).

    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. Costoya, X. & Rocha, A. & Carvalho, D., 2020. "Using bias-correction to improve future projections of offshore wind energy resource: A case study on the Iberian Peninsula," Applied Energy, Elsevier, vol. 262(C).
    2. Costoya, X. & deCastro, M. & Carvalho, D. & Feng, Z. & Gómez-Gesteira, M., 2021. "Climate change impacts on the future offshore wind energy resource in China," Renewable Energy, Elsevier, vol. 175(C), pages 731-747.
    3. Olaofe, Z.O., 2019. "Quantification of the near-surface wind conditions of the African coast: A comparative approach (satellite, NCEP CFSR and WRF-based)," Energy, Elsevier, vol. 189(C).
    4. Costoya, X. & deCastro, M. & Carvalho, D. & Arguilé-Pérez, B. & Gómez-Gesteira, M., 2022. "Combining offshore wind and solar photovoltaic energy to stabilize energy supply under climate change scenarios: A case study on the western Iberian Peninsula," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    5. 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).
    6. 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.
    7. 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).
    8. Ribeiro, A.S. & deCastro, M. & Costoya, X. & Rusu, Liliana & Dias, J.M. & Gomez-Gesteira, M., 2021. "A Delphi method to classify wave energy resource for the 21st century: Application to the NW Iberian Peninsula," Energy, Elsevier, vol. 235(C).
    9. Sward, J.A. & Ault, T.R. & Zhang, K.M., 2023. "Spatial biases revealed by LiDAR in a multiphysics WRF ensemble designed for offshore wind," Energy, Elsevier, vol. 262(PA).
    10. 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.
    11. 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).
    12. 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).
    13. Laura Castro-Santos & Maite deCastro & Xurxo Costoya & Almudena Filgueira-Vizoso & Isabel Lamas-Galdo & Americo Ribeiro & João M. Dias & Moncho Gómez-Gesteira, 2021. "Economic Feasibility of Floating Offshore Wind Farms Considering Near Future Wind Resources: Case Study of Iberian Coast and Bay of Biscay," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    14. Florin Onea & Liliana Rusu, 2018. "Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea," Energies, MDPI, vol. 11(9), pages 1-16, September.
    15. Markus Gross & Vanesa Magar & Alfredo Peña, 2020. "The Effect of Averaging, Sampling, and Time Series Length on Wind Power Density Estimations," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
    16. deCastro, M. & Salvador, S. & Gómez-Gesteira, M. & Costoya, X. & Carvalho, D. & Sanz-Larruga, F.J. & Gimeno, L., 2019. "Europe, China and the United States: Three different approaches to the development of offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 55-70.
    17. Li, Jiangxia & Pan, Shunqi & Chen, Yongping & Yao, Yu & Xu, Conghao, 2022. "Assessment of combined wind and wave energy in the tropical cyclone affected region:An application in China seas," Energy, Elsevier, vol. 260(C).
    18. 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.
    19. 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.
    20. He, J.Y. & Li, Q.S. & Chan, P.W. & Zhao, X.D., 2023. "Assessment of future wind resources under climate change using a multi-model and multi-method ensemble approach," Applied Energy, Elsevier, vol. 329(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:appene:v:262:y:2020:i:c:s0306261920300490. 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/405891/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.