IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i18p6545-d1237886.html
   My bibliography  Save this article

Interdecadal Variation Trend of Arctic Wind Energy

Author

Listed:
  • Kaishan Wang

    (Department of Military Oceanography and Surveying and Mapping, Dalian Naval Academy, Dalian 116018, China
    Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China
    These authors contributed equally to this work.)

  • Di Wu

    (Department of Military Oceanography and Surveying and Mapping, Dalian Naval Academy, Dalian 116018, China
    Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China
    These authors contributed equally to this work.)

  • Kai Wu

    (Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China
    Department of Navigation, Dalian Naval Academy, Dalian 116018, China)

  • Kun Yu

    (College of Command & Control Engineering, Army Engineering University of PLA, Nanjing 210001, China
    These authors contributed equally to this work.)

  • Chongwei Zheng

    (Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China
    Department of Navigation, Dalian Naval Academy, Dalian 116018, China
    Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China)

Abstract

The Arctic’s navigation and utilization have garnered global interest due to the economic and strategic significance of its open shipping routes. The feasibility and cost-effectiveness of Arctic wind power generation depend largely on the potential of wind energy, which in turn influences the construction of new ports. In order to effectively harness polar wind energy, we must understand and adapt to its ever-changing rules. This study leverages ERA5′s 40-year wind field data to estimate the Theil–Sen Median slope and perform Mann–Kendall trend analysis. We consider factors such as wind power density, effective wind speed occurrence, energy level frequency, stability, and resource reserves to comprehensively analyze the intergenerational variations in Arctic wind energy resources. Our findings indicate that Northeast Passage, Davis Strait, and Baffin Bay possess favorable wind power density (1~2 W/m 2 ·yr −1 ), effective wind speed occurrence (0.1~0.2%·yr −1 ), energy level frequency (0.1~0.2%·yr −1 ), stability (−0.005 yr −1 ), and resource reserves (1 kWh/m 2 ·yr −1 ). However, these indicators are inferior in the Barents Sea, Canada’s northern archipelagos, and Greenland’s vicinity, where wind energy is relatively poor and unfavorable for development. Autumn dominates the annual change trend of Arctic wind energy, while spring and summer show no significant trends.

Suggested Citation

  • Kaishan Wang & Di Wu & Kai Wu & Kun Yu & Chongwei Zheng, 2023. "Interdecadal Variation Trend of Arctic Wind Energy," Energies, MDPI, vol. 16(18), pages 1-19, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6545-:d:1237886
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/18/6545/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/18/6545/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qiang Zhang & Zheng Wan & Shanshan Fu, 2020. "Toward Sustainable Arctic Shipping: Perspectives from China," Sustainability, MDPI, vol. 12(21), pages 1-12, October.
    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. Kangqi Tian & Li Song & Yongyan Chen & Xiaofeng Jiao & Rui Feng & Rui Tian, 2022. "Stress Coupling Analysis and Failure Damage Evaluation of Wind Turbine Blades during Strong Winds," Energies, MDPI, vol. 15(4), pages 1-19, February.
    4. Salo, Olli & Syri, Sanna, 2014. "What economic support is needed for Arctic offshore wind power?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 343-352.
    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. Yen-Chiang Chang & Mehran Idris Khan, 2021. "May China Fish in the Arctic Ocean?," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    2. Adedipe, Oyewole & Brennan, Feargal & Kolios, Athanasios, 2016. "Review of corrosion fatigue in offshore structures: Present status and challenges in the offshore wind sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 141-154.
    3. Behnam Zakeri & Samuli Rinne & Sanna Syri, 2015. "Wind Integration into Energy Systems with a High Share of Nuclear Power—What Are the Compromises?," Energies, MDPI, vol. 8(4), pages 1-35, March.
    4. Galih Bangga, 2022. "Progress and Outlook in Wind Energy Research," Energies, MDPI, vol. 15(18), pages 1-5, September.
    5. Cross, Sam & Hast, Aira & Kuhi-Thalfeldt, Reeli & Syri, Sanna & Streimikiene, Dalia & Denina, Arta, 2015. "Progress in renewable electricity in Northern Europe towards EU 2020 targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1768-1780.
    6. Jiayu Bai & Kailei Zhu, 2023. "China’s Engagement in Arctic Governance for Its Sustainable Development Based on International Law Perspective," Sustainability, MDPI, vol. 15(6), pages 1-31, March.
    7. Imed Khabbouchi & Dhaou Said & Aziz Oukaira & Idir Mellal & Lyes Khoukhi, 2023. "Machine Learning and Game-Theoretic Model for Advanced Wind Energy Management Protocol (AWEMP)," Energies, MDPI, vol. 16(5), pages 1-15, February.
    8. Zhong, Xiaohui & Chen, Tao & Sun, Xiangyu & Song, Juanjuan & Zeng, Jiajun, 2022. "Conventional and advanced exergy analysis of a novel wind-to-heat system," Energy, Elsevier, vol. 261(PA).
    9. deCastro, M. & Rusu, L. & Arguilé-Pérez, B. & Ribeiro, A. & Costoya, X. & Carvalho, D. & Gómez-Gesteira, M., 2024. "Different approaches to analyze the impact of future climate change on the exploitation of wave energy," Renewable Energy, Elsevier, vol. 220(C).
    10. 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).
    11. Lira-Loarca, Andrea & Ferrari, Francesco & Mazzino, Andrea & Besio, Giovanni, 2021. "Future wind and wave energy resources and exploitability in the Mediterranean Sea by 2100," Applied Energy, Elsevier, vol. 302(C).
    12. 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).
    13. Chongwei Zheng, 2023. "An Overview and Countermeasure of Global Wave Energy Classification," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    14. Sadik Kucuksari & Nuh Erdogan & Umit Cali, 2019. "Impact of Electrical Topology, Capacity Factor and Line Length on Economic Performance of Offshore Wind Investments," Energies, MDPI, vol. 12(16), pages 1-21, August.
    15. Shi Liu & Yi Yang & Chengyuan Wang & Yuangang Tu & Zhenqing Liu, 2021. "Proposal of a Novel Mooring System Using Three-Bifurcated Mooring Lines for Spar-Type Off-Shore Wind Turbines," Energies, MDPI, vol. 14(24), pages 1-33, December.
    16. Martinez, A. & Iglesias, G., 2024. "Global wind energy resources decline under climate change," Energy, Elsevier, vol. 288(C).
    17. Zhuo, Chen & Junhong, Guo & Wei, Li & Fei, Zhang & Chan, Xiao & Zhangrong, Pan, 2022. "Changes in wind energy potential over China using a regional climate model ensemble," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    18. 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).
    19. Bains, Henna & Madariaga, Ander & Troffaes, Matthias C.M. & Kazemtabrizi, Behzad, 2020. "An economic model for offshore transmission asset planning under severe uncertainty," Renewable Energy, Elsevier, vol. 160(C), pages 1174-1184.
    20. Abdelaziz, Sara & Sparrow, Sarah N. & Hua, Weiqi & Wallom, David C.H., 2024. "Assessing long-term future climate change impacts on extreme low wind events for offshore wind turbines in the UK exclusive economic zone," Applied Energy, Elsevier, vol. 354(PB).

    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:16:y:2023:i:18:p:6545-:d:1237886. 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.