Abstract
The research on medium and long-term forecasting of wind energy is still extremely scarce until now, although this work is closely related to the medium and long-term planning of wind energy development and power dispatching. This chapter used the CMIP data to carry out the long-term wind energy projection along the Maritime Silk Road for the next 40 years, which includes a series of key indicators, such as: the wind power density, energy availability, energy level occurrences, energy stability, monthly and seasonal variability, energy storage for the next 40 years, to provide reference for the long-term planning of wind energy utilization.
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References
Abolude AT, Zhou W, Akinsanola AA (2020) Evaluation and projections of wind power resources over china for the energy industry using CMIP5 models. Energies 13:2417. https://doi.org/10.3390/en13102417
Capps SB, Zender CS (2009) Global ocean wind power sensitivity to surface layer stability. Geophys Res Lett 36:L09801. https://doi.org/10.1029/2008GL037063
de Winter RC, Sterl A, Ruessink BG (2013) Wind extremes in the North Sea Basin under climate change–an ensemble study of 12 CMIP5 GCMs. J Geophys Res Atmos 118:1601–1612. https://doi.org/10.1002/jgrd.50147
Hirabayashi Y, Mahendran R, Koirala S, Konoshima L, Yamazaki D, Watanabe S, Kim H, Kanae S (2013) Global flood risk under climate change. Nat Clim Chang 3:816–821. https://doi.org/10.1038/nclimate1911
Huntingford C, Jones PD, Livina VN, Lenton TM (2013) No increase in global temperature variability despite changing regional patterns. Nature 500:327–330. https://doi.org/10.1038/nature12310
Li B, Li JM, Li YN (2020) Application of artificial neural network to numerical wave simulation in the coastal region of island. J Xiamen Univer (Nat Sci) 59(3):420–427
Ma DM, Li YS, Liu YX, Cai JW, Zhao R (2021) Vibration deformation monitoring of offshore wind turbines based on GBIR. J Ocean Univer China 20(3):501–511
Poulter B, Frank D, Ciais P, Myneni RB, Andela N, Bi J, Broquet G, Canadell JG, Chevallier F, Liu YY, Running SW, SItch S, van der Werf GR (2014) Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 509:600–603. https://doi.org/10.1038/nature13376
Ramesh KV (2014) Assessing reliability of regional climate projections: the case of Indian monsoon. Nat Sci Rep 4:1–9. https://doi.org/10.1038/srep04071
Tambke J, Lange M, Focken U (2005) Forecasting offshore wind speeds above the North Sea. Wind Energy 8:3–16
Taylor KE, Stouffer RJ, Meehl GA (2012) An Overview of CMIP5 and the Experiment Design. Am Meteorol Soc 93:485–498. https://doi.org/10.1175/BAMS-D-11-00094.1
Villarini G, Vecchi GA (2012) In: 21st Century projections of north Atlantic tropical storms from CMIP5 models. Nature 2:604–607.
Wang XL, Feng Y, Swail VR (2014) Changes in global ocean wave heights as projected using multimodel CMIP5 simulations. Geophys Res Lett 41:1026–1034. https://doi.org/10.1002/2013GL058650
Xie S, Lu B, Xiang B (2013) Similar spatial patterns of climate responses to aerosol and greenhouse gas changes. Nat Geosci. https://doi.org/10.1038/ngeo1931
Zheng CW, Pan J, Li JX (2013) Assessing the China Sea wind energy and wave energy resources from 1988 to 2009. Ocean Eng 65:39–48
Zheng CW, Pan J (2014) Assessment of the global ocean wind energy resource. Renew Sustain Energy Rev 33:382–391
Zheng CW, Li XY, Luo X, Chen X, Qian YH, Zhang ZH, Gao ZS, Du ZB, Gao YB, Chen YG (2019) Projection of future global offshore wind energy resources using CMIP Data. Atmos Ocean 57(2):134–148
Zheng CW, Li CY, Pan J, Liu MY, Xia LL (2016) An overview of global ocean wind energy resource evaluations. Renew Sustain Energy Rev 53:1240–1251
Zheng CW, Gao Y, Chen X (2017) Climatic long term trend and prediction of the wind energy resource in the Gwadar Port. Acta Scientiarum Naturalium Universitatis Pekinensis 53(4):617–626
Zheng CW (2018) Wind energy evaluation of the 21st Century Maritime Silk Road. J Harbin Eng Univ 39(1):16–22
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Zheng, C., Song, H., Liang, F., Jin, Yp., Wang, Dy., Tian, Yc. (2021). An All-Elements Long-Term Projection of Offshore Wind Energy in the Maritime Silk Road. In: 21st Century Maritime Silk Road: Wind Energy Resource Evaluation. Springer Oceanography. Springer, Singapore. https://doi.org/10.1007/978-981-16-4111-4_6
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DOI: https://doi.org/10.1007/978-981-16-4111-4_6
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