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Study on China’s wind power development path—Based on the target for 2030

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  • Lu, Ze-Yu
  • Li, Wen-Hua
  • Xie, Bai-Chen
  • Shang, Li-Feng

Abstract

As an important form of clean energy, China’s wind power has developed rapidly and been given priority in the national energy strategy in recent years. Factors such as resource potential, technological progress, GDP growth, emission regulation scheme, and grid absorptive capacity may all affect wind power development. This study aims to explore China’s wind power development optimization path during the period 2013–2030 from the perspective of minimum cost. The model is based upon a dynamic programming approach with the restraints of the learning curve and the technology diffusion model to indicate the influence of the above-mentioned factors. We have the following findings: (1) The government could achieve its established 2030 cumulative installed capacity target; GDP growth and incentive policies, which are closely related to construction cost, are critical factors that may impact on wind power development; (2) The grid absorptive ability is the most crucial factor constraining wind power development in the initial stage while learning rate and carbon emission permit price, are critical factors affecting the wind power development in subsequent stages; (3) With the interactions among the relevant factors considered, the wind power development goal of 400GW for 2030 could be achieved several years ahead of schedule even under extremely unfavorable scenarios.

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  • Lu, Ze-Yu & Li, Wen-Hua & Xie, Bai-Chen & Shang, Li-Feng, 2015. "Study on China’s wind power development path—Based on the target for 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 197-208.
  • Handle: RePEc:eee:rensus:v:51:y:2015:i:c:p:197-208
    DOI: 10.1016/j.rser.2015.06.024
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    as
    1. Timilsina, Govinda R. & Cornelis van Kooten, G. & Narbel, Patrick A., 2013. "Global wind power development: Economics and policies," Energy Policy, Elsevier, vol. 61(C), pages 642-652.
    2. Ibenholt, Karin, 2002. "Explaining learning curves for wind power," Energy Policy, Elsevier, vol. 30(13), pages 1181-1189, October.
    3. Liu, Yingqi & Kokko, Ari, 2010. "Wind power in China: Policy and development challenges," Energy Policy, Elsevier, vol. 38(10), pages 5520-5529, October.
    4. Yousefpour, Rasoul & Hanewinkel, Marc, 2009. "Modelling of forest conversion planning with an adaptive simulation-optimization approach and simultaneous consideration of the values of timber, carbon and biodiversity," Ecological Economics, Elsevier, vol. 68(6), pages 1711-1722, April.
    5. Egbendewe-Mondzozo, Aklesso & Swinton, Scott M. & Izaurralde, R. César & Manowitz, David H. & Zhang, Xuesong, 2013. "Maintaining environmental quality while expanding biomass production: Sub-regional U.S. policy simulations," Energy Policy, Elsevier, vol. 57(C), pages 518-531.
    6. Harijan, Khanji & Uqaili, Mohammad A. & Memon, Mujeebuddin & Mirza, Umar K., 2011. "Forecasting the diffusion of wind power in Pakistan," Energy, Elsevier, vol. 36(10), pages 6068-6073.
    7. Agnolucci, Paolo, 2007. "Wind electricity in Denmark: A survey of policies, their effectiveness and factors motivating their introduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 951-963, June.
    8. Xu, Jianzhong & He, Dexin & Zhao, Xiaolu, 2010. "Status and prospects of Chinese wind energy," Energy, Elsevier, vol. 35(11), pages 4439-4444.
    9. Vithayasrichareon, Peerapat & MacGill, Iain F., 2013. "Assessing the value of wind generation in future carbon constrained electricity industries," Energy Policy, Elsevier, vol. 53(C), pages 400-412.
    10. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
    11. Zhang, Xiao-Bing & Fan, Ying & Wei, Yi-Ming, 2009. "A model based on stochastic dynamic programming for determining China's optimal strategic petroleum reserve policy," Energy Policy, Elsevier, vol. 37(11), pages 4397-4406, November.
    12. Sperling, Karl & Hvelplund, Frede & Mathiesen, Brian Vad, 2010. "Evaluation of wind power planning in Denmark – Towards an integrated perspective," Energy, Elsevier, vol. 35(12), pages 5443-5454.
    13. Zou, Gao Lu, 2012. "The long-term relationships among China's energy consumption sources and adjustments to its renewable energy policy," Energy Policy, Elsevier, vol. 47(C), pages 456-467.
    14. Kang, Junjie & Yuan, Jiahai & Hu, Zhaoguang & Xu, Yan, 2012. "Review on wind power development and relevant policies in China during the 11th Five-Year-Plan period," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 1907-1915.
    15. Song, Malin & Zhang, Jie & Wang, Shuhong, 2015. "Review of the network environmental efficiencies of listed petroleum enterprises in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 65-71.
    16. Wang, Zhongying & Qin, Haiyan & Lewis, Joanna I., 2012. "China's wind power industry: Policy support, technological achievements, and emerging challenges," Energy Policy, Elsevier, vol. 51(C), pages 80-88.
    17. Wang, Shu-Hong & Song, Ma-Lin, 2014. "Review of hidden carbon emissions, trade, and labor income share in China, 2001–2011," Energy Policy, Elsevier, vol. 74(C), pages 395-405.
    18. Haack, Barry N., 1982. "Economic analysis of small wind-energy conversion systems," Applied Energy, Elsevier, vol. 11(1), pages 51-60, May.
    19. Manzano-Agugliaro, F. & Alcayde, A. & Montoya, F.G. & Zapata-Sierra, A. & Gil, C., 2013. "Scientific production of renewable energies worldwide: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 134-143.
    20. Dincer, Furkan, 2011. "The analysis on wind energy electricity generation status, potential and policies in the world," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 5135-5142.
    21. Zhang, Sufang & Li, Xingmei, 2012. "Large scale wind power integration in China: Analysis from a policy perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1110-1115.
    22. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
    23. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601, April.
    24. Dalla Valle, Alessandra & Furlan, Claudia, 2011. "Forecasting accuracy of wind power technology diffusion models across countries," International Journal of Forecasting, Elsevier, vol. 27(2), pages 592-601.
    25. Neij, Lena, 1997. "Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology," Energy Policy, Elsevier, vol. 25(13), pages 1099-1107, November.
    26. Lund, Peter, 2006. "Market penetration rates of new energy technologies," Energy Policy, Elsevier, vol. 34(17), pages 3317-3326, November.
    27. Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
    28. Panda, R.K. & Sarkar, T.K. & Bhattacharya, A.K., 1990. "Stochastic study of the wind-energy potential of India," Energy, Elsevier, vol. 15(10), pages 921-930.
    29. Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
    30. Marano, Vincenzo & Rizzo, Gianfranco & Tiano, Francesco Antonio, 2012. "Application of dynamic programming to the optimal management of a hybrid power plant with wind turbines, photovoltaic panels and compressed air energy storage," Applied Energy, Elsevier, vol. 97(C), pages 849-859.
    31. Zhao, Zhen-Yu & Wu, Pan-Hao & Xia, Bo & Skitmore, Martin, 2014. "Development route of the wind power industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 1-7.
    32. Bai, Y. & Zhou, D.Q. & Zhou, P. & Zhang, L.B., 2012. "Optimal path for China's strategic petroleum reserve: A dynamic programming analysis," Energy Economics, Elsevier, vol. 34(4), pages 1058-1063.
    33. Li, Cun-bin & Lu, Gong-shu & Wu, Si, 2013. "The investment risk analysis of wind power project in China," Renewable Energy, Elsevier, vol. 50(C), pages 481-487.
    34. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
    35. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
    36. Golait, Neeraj & Moharil, R.M. & Kulkarni, P.S., 2009. "Wind electric power in the world and perspectives of its development in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 233-247, January.
    37. Hong, Lixuan & Möller, Bernd, 2012. "Feasibility study of China’s offshore wind target by 2020," Energy, Elsevier, vol. 48(1), pages 268-277.
    38. Foley, Aoife M. & Leahy, Paul G. & Marvuglia, Antonino & McKeogh, Eamon J., 2012. "Current methods and advances in forecasting of wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 1-8.
    39. Fontes, Dalila B.M.M. & Hadjiconstantinou, Eleni & Christofides, Nicos, 2006. "A dynamic programming approach for solving single-source uncapacitated concave minimum cost network flow problems," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1205-1219, October.
    40. P. Polglase & A. Reeson & C. Hawkins & K. Paul & A. Siggins & J. Turner & D. Crawford & T. Jovanovic & T. Hobbs & K. Opie & J. Carwardine & A. Almeida, 2013. "Potential for forest carbon plantings to offset greenhouse emissions in Australia: economics and constraints to implementation," Climatic Change, Springer, vol. 121(2), pages 161-175, November.
    41. Blanco, Mari­a Isabel & Rodrigues, Glória, 2008. "Can the future EU ETS support wind energy investments?," Energy Policy, Elsevier, vol. 36(4), pages 1509-1520, April.
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