Impact of climate change on wind energy across North America under climate change scenario RCP8.5

被引:11
作者
Li, Si Han [1 ]
机构
[1] Rowan Williams Davies & Irwin Inc, Guelph, ON N1G 4P6, Canada
关键词
Wind energy; Climate change; Model uncertainty; Design wind speed; North America; Structrual reliability; GUMBEL DISTRIBUTION; PLOTTING POSITIONS; DESIGN; POWER; CALIBRATION; RESOURCES; LOADS;
D O I
10.1016/j.atmosres.2023.106722
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Wind energy is one of the renewable energies considered by many nations as a strategy to mitigate the impact of climate change. There are also impacts of climate change on wind energy. Previous studies investigated the effect of climate change on wind energy in North America by using future projections with spatial resolutions of about 100 km (i.e., around 1 degrees x 1 degrees simulation grid) and monthly to yearly average wind speeds or a high spatial resolution (< 50 km) but a few simulations (< 5). A coarse resolution can create biases and is insufficient to appreciate extremes. A smaller number of simulations (e.g., < 5) are inadequate for understanding the modeling uncertainties. To better appreciate the impact of climate change on wind energies in a future changing climate, 15 simulations from high-resolution Reginal Climate Models (RCMs) considering the Representative Concen-tration Pathway (RCP) 8.5 emission scenario were used in the present study. These datasets have a spatial resolution of about 0.4 degrees and a temporal resolution of one hour from 1950 to 2100. The impact of climate change on wind energy was studied on a seasonal and yearly basis. The impact of climate change on design-level wind speeds and structural reliability across North America was also investigated.
引用
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页数:15
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共 57 条
  • [11] Projecting Future Energy Production from Operating Wind Farms in North America. Part II: Statistical Downscaling
    Coburn, Jacob
    Pryor, Sara C. C.
    [J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2023, 62 (01) : 81 - 101
  • [12] CWTD, 2022, CAN WIND TURB DAT
  • [13] EIA, 2022, U.S. Energy Information Administration
  • [14] ESDU, 1983, STRONG WINDS ATM B 2, V27, pN16UA
  • [15] ESDU, 1982, STRONG WINDS ATM B 1
  • [16] Fatigue reliability analysis of wind turbine tower under random wind load
    Fu, Bing
    Zhao, Jianbin
    Li, Bingqing
    Yao, Jing
    Teifouet, Armand Robinson Mouafo
    Sun, Liyun
    Wang, Zhenyu
    [J]. STRUCTURAL SAFETY, 2020, 87
  • [17] Large near-term projected snowpack loss over the western United States
    Fyfe, John C.
    Derksen, Chris
    Mudryk, Lawrence
    Flato, Gregory M.
    Santer, Benjamin D.
    Swart, Neil C.
    Molotch, Noah P.
    Zhang, Xuebin
    Wan, Hui
    Arora, Vivek K.
    Scinocca, John
    Jiao, Yanjun
    [J]. NATURE COMMUNICATIONS, 2017, 8
  • [18] The contribution of North Atlantic atmospheric circulation shifts to future wind speed projections for wind power over Europe
    Gonzalez, Paula L. M.
    Brayshaw, David J.
    Zappa, Giuseppe
    [J]. CLIMATE DYNAMICS, 2019, 53 (7-8) : 4095 - 4113
  • [19] Improvements to the 'Method of Independent Storms'
    Harris, RI
    [J]. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 1999, 80 (1-2) : 1 - 30
  • [20] Calibration of the design wind load and snow load considering the historical climate statistics and climate change effects
    Hong, H. P.
    Tang, Q.
    Yang, S. C.
    Cui, X. Z.
    Cannon, A. J.
    Lounis, Z.
    Irwin, P.
    [J]. STRUCTURAL SAFETY, 2021, 93