Skip to main content
Log in

Analysis on the hourly spatiotemporal complementarities between China’s solar and wind energy resources spreading in a wide area

  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

China is rich in solar and wind energy resources, of which the proportion of China’s power sources has been rapidly increasing. Such fluctuating and intermittent energy sources will bring significant challenges to the safe and stable operation power system. However, making use of the spatiotemporal complementarities between different renewable energy resources is a feasible way to level fluctuating power especially when they have a widely geographical dispersion. Based on the data provided by China Meteorological Administration (CMA), this research explores the spatiotemporal complementarities between wind and solar energy resources. This paper nondimensionalizes hourly wind speed and global solar radiation data and employs several indexes to compare the smoothing effect with various combining scenarios. The results show that combining wind and solar powers within a certain area can cause a fall of zero-power or very-full power hours. Besides, combining different resources improves ‘smoothness’ in power output when compared with that from each individual resource. However, under hourly time scale, when the dispersion of sites is large enough, the smoothing effect of combining the dispersed wind power is very close to the combination of those two different resources. Nevertheless, this complementary effect is much better than that of just combining solar energy resources.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Sarkar S, Ajjarapu V. MW resource assessment model for a hybrid energy conversion system with wind and solar resources. Sustain Energy, IEEE T, 2011, 2(4): 383–391

    Article  Google Scholar 

  2. Li J, Cai F, Tang W, et al. China Wind Power Outlook 2011. Beijing: China Environmental Science Press, 2010

    Google Scholar 

  3. Guo L, Zhao L, Jing D, et al. Solar hydrogen production and its development in China. Energy, 2009, 34(9): 1073–1090

    Article  Google Scholar 

  4. Wang S, Hao J. Air quality management in China: Issues, challenges, and options. J Environ Sci, 2012, 24(1): 2–13

    Article  MathSciNet  Google Scholar 

  5. Liu J, Liu Y, Zeng D, et al. Optimal short-term load dispatch strategy in wind farm. Sci China Tech Sci, 2012, 55(4): 1140–1145

    Article  Google Scholar 

  6. Gao Y, Pan J, Yang Z, et al. Optimization based accurate scheduling for generation and reserve of power system. Sci China Tech Sc, 2012, 55(1): 223–232

    Article  Google Scholar 

  7. Dahal S, Mithulananthan N, Saha T K. Assessment and enhancement of small signal stability of a renewable-energy-based electricity distribution system. Sustainable Energy, IEEE T, 2012, 3(3): 407–415

    Article  Google Scholar 

  8. Kahn E. The reliability of distributed wind generators. Electric Power Systems Research, 1979, 2(1): 1–14

    Article  MathSciNet  Google Scholar 

  9. Simonsen T K, Stevens B G. Regional wind energy analysis for the central United States. Proc Global Wind Power 2004, American Wind Energy Association, Chicago, 2004

    Google Scholar 

  10. DeCarolis J F, Keith D W. The economics of large-scale wind power in a carbon constrained world. Energy Policy, 2006, 34(4): 395–410

    Article  Google Scholar 

  11. Oswald J, Raine M, Ashraf-Ball H. Will British weather provide reliable electricity? Energy Policy, 2008, 36(8): 3212–3225

    Article  Google Scholar 

  12. Kempton W, Pimenta FM, Veron D E, et al. Electric power from offshore wind via synoptic-scale interconnection. PNAS USA, 2010, 107(16): 7240–7245

    Article  Google Scholar 

  13. Katzenstein W, Fertig E, Apt J. The variability of interconnected wind plants. Energy Policy, 2010, 38(8): 4400–4410

    Article  Google Scholar 

  14. Liu Y, Xiao L Y, Wang H F, et al. Investigation on the spatiotem-poral complementarity of wind energy resources in China. Sci China Tech Sci, 2012, 55(3): 725–734

    Article  Google Scholar 

  15. Burton T, Sharpe D, Jenkins N, et al. Wind Energy Handbook. New York: Wiley, 2002. 173–207

    Google Scholar 

  16. Mills A, Ahlstrom M, Brower M, et al. Understanding variability and uncertainty of photovoltaics for integration with the electric power system. IEEE Power Energ Mag, 2011, 9(3): 33–41

    Article  Google Scholar 

  17. Murata A, Yamaguchi H, Otani K. A method of estimating the output fluctuation of many photovoltaic power generation systems dispersed in a wide area. Elec Eng Jpn, 2009, 166(4): 9–19

    Article  Google Scholar 

  18. Jacobson M Z, Delucchi M A. Providing all global energy with wind, water, and solar power, part I: Technologies, energy resources, quantities and areas of infrastructure, and materials. Energy Policy, 2011, 39(3): 1154–1169

    Article  Google Scholar 

  19. Markvart T. Sizing of hybrid photovoltaic-wind energy systems. Solar Energy, 1996, 57(4): 277–281

    Article  Google Scholar 

  20. Ai B, Yang H, Shen H, et al. Computer-aided design of PV/wind hybrid system. Renew Energy, 2003, 28(10): 1491–1512

    Article  Google Scholar 

  21. Diaf S, Diaf D, Belhamel M, et al. A methodology for optimal sizing of autonomous hybrid PV/wind system. Energy Policy, 2007, 35(11): 5708–5718

    Article  Google Scholar 

  22. Dihrab S S, Sopian K. Electricity generation of hybrid PV/wind systems in Iraq. Renew Energy, 2010, 35(6): 1303–1307

    Article  Google Scholar 

  23. Zhou W, Lou C, Li Z, et al. Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems. Appl Energy, 2010, 87(2): 380–389

    Article  Google Scholar 

  24. Liu L, Wang Z. The development and application practice of wind-solar energy hybrid generation systems in China. Renew Sustain Energy Rev, 2009, 13(6–7): 1504–1512

    Article  Google Scholar 

  25. Weigel R, Klimas A, Vassiliadis D. Solar wind coupling to and predictability of ground magnetic fields and their time derivatives. J Geophys Res, 2003, 108(A7): 16–11

    Article  Google Scholar 

  26. Gipe P. Wind Energy Comes of Age. New York: John Wiley, 1995

    Google Scholar 

  27. McQueen D, Watson S. Validation of wind speed prediction methods at offshore sites. Wind Energy, 2006, 9(1–2): 75–85

    Article  Google Scholar 

  28. Dunn R, Lovegrove K, Burgess G. A review of ammonia-based thermochemical energy storage for concentrating solar power. Proc IEEE, 2012, 100(2): 391–400

    Article  Google Scholar 

  29. Hoicka CE, Rowlands IH. Solar and wind resource complementarity: Advancing options for renewable electricity integration in Ontario, Canada. Renew Energy, 2011, 36(1): 97–107

    Article  Google Scholar 

  30. Widén J. Correlations between large-scale solar and wind power in a future scenario for Sweden. Sustain Energy, IEEE T, 2011, 2(2): 177–184

    Article  Google Scholar 

  31. Kempton W, Archer CL, Dhanju A, et al. Large CO2 reductions via offshore wind power matched to inherent storage in energy end-uses. Geophys Res Lett, 2007, 34(2): LO2817

    Article  Google Scholar 

  32. Rowlands I H, Jernigan C. Wind power in Ontario. Bulletin of Science, Technol Soc, 2008, 28(6): 436–453

    Article  Google Scholar 

  33. Sinden G. Characteristics of the UK wind resource: Long-term patterns and relationship to electricity demand. Energy Policy, 2007, 35(1): 112–127

    Article  Google Scholar 

  34. Yu D, Zhang B, Liang J, et al. The influence of generation mix on the wind integrating capability of north china power grids: A modeling interpretation and potential solutions. Energy Policy, 2011, 39(11): 7455–7463

    Article  Google Scholar 

  35. Xiao L, Dai S, Lin L, et al. Future power grid-Multi-level DC loop grid and “Cloud Powering”. Adv Technol Elec Eng Energy, 2011, 30(4): 64–69

    Google Scholar 

  36. Xiao L, Dai S, Lin L, et al. Development of the world’s first HTS power substation. Appl Supercond, IEEE T, 2012, 22(3): 5000104

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yi Liu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, Y., Xiao, L., Wang, H. et al. Analysis on the hourly spatiotemporal complementarities between China’s solar and wind energy resources spreading in a wide area. Sci. China Technol. Sci. 56, 683–692 (2013). https://doi.org/10.1007/s11431-012-5105-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-012-5105-1

Keywords

Navigation