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Achieving grid parity of solar PV power in China- The role of Tradable Green Certificate

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  • Tu, Qiang
  • Mo, Jianlei
  • Betz, Regina
  • Cui, Lianbiao
  • Fan, Ying
  • Liu, Yu

Abstract

Achieving grid parity of solar photovoltaic (PV) power in China has great implication for the future energy system transformation. In this work whether and when, and under what conditions the grid parity can be achieved are assessed, and especially the role of Tradable Green Certificate (TGC) policy in achieving the grid parity is explored. We first estimate the future levelized cost of electricity (LCOE) of solar PV power using learning curve method, and then by comparing it with on-grid price of coal-fired power, the grid parity of solar PV power is determined. Specifically, using a panel dataset consisting of information of 541 solar PV power projects over the period of 2010–2016, the learning rate of PV power is estimated, based on which the future LCOEs are estimated. The results show that the LCOE of PV power decreases from 0.4631 CNY/kWh in 2018 to 0.3345 CNY/kWh in 2030 under the baseline scenario of the cumulative installed capacity, and the grid-parity of solar PV power may be achieved between 2023 and 2025. With the TGC policy being implemented, the grid parity can be achieved earlier. Specifically, with the TGCs price reaching 100 CNY, the grid parity can be achieved in 2020.

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  • Tu, Qiang & Mo, Jianlei & Betz, Regina & Cui, Lianbiao & Fan, Ying & Liu, Yu, 2020. "Achieving grid parity of solar PV power in China- The role of Tradable Green Certificate," Energy Policy, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:enepol:v:144:y:2020:i:c:s0301421520304109
    DOI: 10.1016/j.enpol.2020.111681
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    1. Jinyue Yan & Ying Yang & Pietro Elia Campana & Jijiang He, 2019. "City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China," Nature Energy, Nature, vol. 4(8), pages 709-717, August.
    2. Ritzenhofen, Ingmar & Spinler, Stefan, 2016. "Optimal design of feed-in-tariffs to stimulate renewable energy investments under regulatory uncertainty — A real options analysis," Energy Economics, Elsevier, vol. 53(C), pages 76-89.
    3. Yao, Xilong & Liu, Yang & Qu, Shiyou, 2015. "When will wind energy achieve grid parity in China? – Connecting technological learning and climate finance," Applied Energy, Elsevier, vol. 160(C), pages 697-704.
    4. Ouyang, Xiaoling & Lin, Boqiang, 2014. "Levelized cost of electricity (LCOE) of renewable energies and required subsidies in China," Energy Policy, Elsevier, vol. 70(C), pages 64-73.
    5. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    6. Zou, Hongyang & Du, Huibin & Ren, Jingzheng & Sovacool, Benjamin K. & Zhang, Yongjie & Mao, Guozhu, 2017. "Market dynamics, innovation, and transition in China's solar photovoltaic (PV) industry: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 197-206.
    7. Yang, Mian & Yang, Fuxia & Sun, Chuanwang, 2018. "Factor market distortion correction, resource reallocation and potential productivity gains: An empirical study on China's heavy industry sector," Energy Economics, Elsevier, vol. 69(C), pages 270-279.
    8. Mo, Jian-Lei & Schleich, Joachim & Zhu, Lei & Fan, Ying, 2015. "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Energy Economics, Elsevier, vol. 52(PB), pages 255-264.
    9. Yang, Mian & Patiño-Echeverri, Dalia & Yang, Fuxia, 2012. "Wind power generation in China: Understanding the mismatch between capacity and generation," Renewable Energy, Elsevier, vol. 41(C), pages 145-151.
    10. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    11. Schusser, Sandra & Jaraitė, Jūratė, 2018. "Explaining the interplay of three markets: Green certificates, carbon emissions and electricity," Energy Economics, Elsevier, vol. 71(C), pages 1-13.
    12. Darmani, Anna & Rickne, Annika & Hidalgo, Antonio & Arvidsson, Niklas, 2016. "When outcomes are the reflection of the analysis criteria: A review of the tradable green certificate assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 372-381.
    13. Fei Xu & Mian Yang & Qiangyi Li & Xiaolei Yang, 2020. "Long‐term economic consequences of corporate environmental responsibility: Evidence from heavily polluting listed companies in China," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2251-2264, September.
    14. Duan, Hongbo & Mo, Jianlei & Fan, Ying & Wang, Shouyang, 2018. "Achieving China's energy and climate policy targets in 2030 under multiple uncertainties," LSE Research Online Documents on Economics 86481, London School of Economics and Political Science, LSE Library.
    15. Dobrotkova, Zuzana & Surana, Kavita & Audinet, Pierre, 2018. "The price of solar energy: Comparing competitive auctions for utility-scale solar PV in developing countries," Energy Policy, Elsevier, vol. 118(C), pages 133-148.
    16. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    17. Mo, Jianlei & Schleich, Joachim & Fan, Ying, 2018. "Getting ready for future carbon abatement under uncertainty – Key factors driving investment with policy implications," Energy Economics, Elsevier, vol. 70(C), pages 453-464.
    18. Tu, Qiang & Betz, Regina & Mo, Jianlei & Fan, Ying, 2019. "The profitability of onshore wind and solar PV power projects in China - A comparative study," Energy Policy, Elsevier, vol. 132(C), pages 404-417.
    19. Xu, Mei & Xie, Pu & Xie, Bai-Chen, 2020. "Study of China's optimal solar photovoltaic power development path to 2050," Resources Policy, Elsevier, vol. 65(C).
    20. Kumbaroglu, Gürkan & Madlener, Reinhard & Demirel, Mustafa, 2008. "A real options evaluation model for the diffusion prospects of new renewable power generation technologies," Energy Economics, Elsevier, vol. 30(4), pages 1882-1908, July.
    21. Zhang, M.M. & Zhou, P. & Zhou, D.Q., 2016. "A real options model for renewable energy investment with application to solar photovoltaic power generation in China," Energy Economics, Elsevier, vol. 59(C), pages 213-226.
    22. Morthorst, P. E., 2001. "Interactions of a tradable green certificate market with a tradable permits market," Energy Policy, Elsevier, vol. 29(5), pages 345-353, April.
    23. van der Zwaan, Bob & Rabl, Ari, 2004. "The learning potential of photovoltaics: implications for energy policy," Energy Policy, Elsevier, vol. 32(13), pages 1545-1554, September.
    24. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad & Zhang, Xiliang, 2011. "Potential of renewable energy systems in China," Applied Energy, Elsevier, vol. 88(2), pages 518-525, February.
    25. Reichelstein, Stefan & Yorston, Michael, 2013. "The prospects for cost competitive solar PV power," Energy Policy, Elsevier, vol. 55(C), pages 117-127.
    26. Yu, C.F. & van Sark, W.G.J.H.M. & Alsema, E.A., 2011. "Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 324-337, January.
    27. Li, Canbing & Shi, Haiqing & Cao, Yijia & Wang, Jianhui & Kuang, Yonghong & Tan, Yi & Wei, Jing, 2015. "Comprehensive review of renewable energy curtailment and avoidance: A specific example in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1067-1079.
    28. Mo, Jian-Lei & Agnolucci, Paolo & Jiang, Mao-Rong & Fan, Ying, 2016. "The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment," Energy Policy, Elsevier, vol. 89(C), pages 271-283.
    29. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
    30. Liu, Yu & Lu, Yingying, 2015. "The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis," Applied Energy, Elsevier, vol. 141(C), pages 96-105.
    31. Duan, Hongbo & Mo, Jianlei & Fan, Ying & Wang, Shouyang, 2018. "Achieving China's energy and climate policy targets in 2030 under multiple uncertainties," Energy Economics, Elsevier, vol. 70(C), pages 45-60.
    32. Zhang, Da & Chai, Qimin & Zhang, Xiliang & He, Jiankun & Yue, Li & Dong, Xiufen & Wu, Shu, 2012. "Economical assessment of large-scale photovoltaic power development in China," Energy, Elsevier, vol. 40(1), pages 370-375.
    33. Tu, Qiang & Betz, Regina & Mo, Jianlei & Fan, Ying & Liu, Yu, 2019. "Achieving grid parity of wind power in China – Present levelized cost of electricity and future evolution," Applied Energy, Elsevier, vol. 250(C), pages 1053-1064.
    34. C. Harmon, 2000. "Experience Curves of Photovoltaic Technology," Working Papers ir00014, International Institute for Applied Systems Analysis.
    35. Bao, Xiongjiantao & Zhao, Wenhui & Wang, Xiaomei & Tan, Zhongfu, 2019. "Impact of policy mix concerning renewable portfolio standards and emissions trading on electricity market," Renewable Energy, Elsevier, vol. 135(C), pages 761-774.
    36. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
    37. Zou, Hongyang & Du, Huibin & Brown, Marilyn A. & Mao, Guozhu, 2017. "Large-scale PV power generation in China: A grid parity and techno-economic analysis," Energy, Elsevier, vol. 134(C), pages 256-268.
    38. Nicolini, Marcella & Tavoni, Massimo, 2017. "Are renewable energy subsidies effective? Evidence from Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 412-423.
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