Interdecadal Variation Trend of Arctic Wind Energy

Kaishan Wang, Di Wu, Kai Wu, Kun Yu and Chongwei Zheng ()
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Kaishan Wang: Department of Military Oceanography and Surveying and Mapping, Dalian Naval Academy, Dalian 116018, China
Di Wu: Department of Military Oceanography and Surveying and Mapping, Dalian Naval Academy, Dalian 116018, China
Kai Wu: Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China
Kun Yu: College of Command & Control Engineering, Army Engineering University of PLA, Nanjing 210001, China
Chongwei Zheng: Marine Resources and Environment Research Group on the Maritime Silk Road, Dalian 116018, China

Energies, 2023, vol. 16, issue 18, 1-19

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.

Keywords: arctic; wind energy; interdecadal variation trend; Theil–Sen Median (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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