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Climatic Temporal-Spatial Distribution of Offshore Wind Energy in the Maritime Silk Road

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21st Century Maritime Silk Road: Wind Energy Resource Evaluation

Part of the book series: Springer Oceanography ((SPRINGEROCEAN))

Abstract

At home and abroad, this chapter carries out the first detailed investigation on the climate characteristics of wind energy resource along the Maritime Silk Road. A series of key parameters are defined: availability of wind energy (effective wind speed occurrence, EWSO), available level occurrence (ALO, occurrence of WPD greater than 100 W/m2) moderate level occurrence (MLO, occurrence of WPD greater than 150 W/m2) rich level occurrence (RLO, occurrence of WPD greater than 200 W/m2) excellent level occurrence (ELO, occurrence of WPD greater than 300 W/m2) superb level occurrence (SLO, occurrence of WPD greater than 400 W/m2), to describe the availability and richness of wind energy. Systematically considering the wind power density, energy availability, energy level occurrences, energy stability, monthly and seasonal variability of wind energy, energy storage, the temporal-spatial distribution characteristics of wind energy along the Maritime Silk Road are analyzed, to provide theoretical support for the energy classification, short-term forecast and long-term projection of wind energy.

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References

  • Bao XH, Zhang FQ (2013) Evaluation of NCEP-CFSR, NCEP-NCAR, ERA-Interim, and ERA-40 reanalysis datasets against independent sounding observations over the Tibetan Plateau. J Clim 26:206–214

    Article  Google Scholar 

  • Capps SB, Zender CS (2010) Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting. J Geophys Res 115:D09101. https://doi.org/10.1029/2009JD012679

    Article  Google Scholar 

  • Dee DP, Uppala SM, Simmons AJ et al (2011) The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597

    Article  Google Scholar 

  • Li Y, Wang Y, Chu HY, Tang JP (2008) The climate influence of anthropogenic land-use chanses on near-surface wind energy potential in China. Chin Sci Bull 53(18):2859–2866

    Google Scholar 

  • Miao WW, Jia HJ, Wang D (2012) Active power regulation of wind power systems through demand response. Sci China Technol Sci 55:1667–1676

    Article  Google Scholar 

  • Zheng CW, Li CY (2015) Development of the islands and reefs in the South China Sea: wind climate and wave climate analysis. Periodical of Ocean University of China 45(9):1–6

    Google Scholar 

  • Zheng CW, Li CY (2015) Development of the islands and reefs in the South China Sea: wind power and wave power generation. Periodical of Ocean University of China 45(9):7–14

    Google Scholar 

  • Zheng CW, Li CY, Yang Y, Chen X (2016a) Analysis of wind energy resource in the Pakistan’s Gwadar Port. Journal of Xiamen University (natural Science Edition) 55(2):210–215

    Google Scholar 

  • Zheng CW, Li X, Chen X et al (2016b) Strategic of the 21st century Maritime Silk Road: Marine resources and development status. Ocean Develop Manage. 33(3):3–8

    Google Scholar 

  • Zheng CW, Gao Y, Chen X (2017a) Climatic long term trend and prediction of the wind energy resource in the Gwadar Port. Acta Scientiarum Naturalium Universitatis Pekinensis 53(4):617–626

    Google Scholar 

  • Zheng CW, Sun W, Chen X et al (2017b) Strategic of the 21st century Maritime Silk Road: Construction of Integrated Application Platform. Ocean Develop Manage. 34(2):52–57

    Google Scholar 

  • Zheng CW, Li CY (2017) 21st century maritime silk road: big data construction of new marine resources: wave energy as a case study. Ocean Develop Manage 34(12):61–65

    Google Scholar 

  • Zheng CW (2018) Energy predicament and countermeasure of key junctions of the 21st century maritime silk road. Pacific J 26(7):71–78

    Google Scholar 

  • Zheng CW (2018) Wind energy evaluation of the 21st century maritime silk road. J Harbin Eng Univer 39(1):16–22

    Google Scholar 

  • Zheng CW, Zhuang H, Li X, Li XQ (2012) Wind energy and wave energy resources assessment in the East China Sea and South China Sea. Sci China Technol Sci 55(1):163–173

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Zheng CW, Li CY, Xu JJ (2019) Micro-scale classification of offshore wind energy resource—a case study of the New Zealand. J Clean Prod 226:133–141

    Article  Google Scholar 

  • Zheng CW, Zheng YY, Chen HC (2011) Research on wave energy resources in the northern South China Sea during recent 10 years using SWAN wave model. J Subtropical Res Environ 6(2):54‒59. In Chinese with English abstract

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Zheng CW, Pan J (2014) Assessment of the global ocean wind energy resource. Renew Sustain Energy Rev 33:382–391

    Article  Google Scholar 

  • Zheng CW, Li XQ (2011) Wave energy resources assessment in the China Sea during the last 22 years by using WAVEWATCH-III wave model. Periodical of Ocean University of China 41(11):5‒12. In Chinese with English abstract

    Google Scholar 

  • Zheng CW (2020) Temporal-spatial characteristics dataset of offshore wind energy resource for the 21st Century Maritime Silk Road. China Scientific Data 5(4). (2020‒12‒22). https://doi.org/10.11922/csdata.2020.0097.zh

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Zheng, C., Song, H., Liang, F., Jin, Yp., Wang, Dy., Tian, Yc. (2021). Climatic Temporal-Spatial Distribution 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_3

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