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The effect of switching renewable energy support systems on grid parity for photovoltaics: Analysis using a learning curve model

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  • Hong, Soonpa
  • Yang, Taeyong
  • Chang, Hyun Joon
  • Hong, Sungjun

Abstract

Renewable energy electricity, such as photovoltaic (PV) power generation, has the benefits of strengthening energy security, addressing climate change, reducing air pollution, etc., but there are some impediments to deployment of renewable energy electricity: higher costs than fossil fuels, intermittent energy production, site constraints, etc. Korea changed its renewable energy electricity support systems from feed-in tariff (FIT) to a renewable portfolio standard (RPS) in 2012. This study evaluates FIT versus RPS in terms of the time to reach grid parity for PVs. Using a learning curve model, we calculate the learning rate of PV power generation during the FIT and RPS periods. We find that the PV learning rate during the RPS period was 18.44%, much higher than that during the FIT period, −0.28%, and R2 is 0.9861 and 0.7346 in the RPS and FIT periods, respectively. Using the calculated learning rate in the RPS period, we also predict that grid parity for PVs is expected in 2025 in Korea.

Suggested Citation

  • Hong, Soonpa & Yang, Taeyong & Chang, Hyun Joon & Hong, Sungjun, 2020. "The effect of switching renewable energy support systems on grid parity for photovoltaics: Analysis using a learning curve model," Energy Policy, Elsevier, vol. 138(C).
    • Handle: RePEc:eee:enepol:v:138:y:2020:i:c:s0301421519308146
    DOI: 10.1016/j.enpol.2019.111233
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    as
    1. Kim, Dong Wook & Chang, Hyun Joon, 2012. "Experience curve analysis on South Korean nuclear technology and comparative analysis with South Korean renewable technologies," Energy Policy, Elsevier, vol. 40(C), pages 361-373.
    2. Gaul, Chip & Carley, Sanya, 2012. "Solar set asides and renewable electricity certificates: Early lessons from North Carolina's experience with its renewable portfolio standard," Energy Policy, Elsevier, vol. 48(C), pages 460-469.
    3. Wand, Robert & Leuthold, Florian, 2011. "Feed-in tariffs for photovoltaics: Learning by doing in Germany?," Applied Energy, Elsevier, vol. 88(12), pages 4387-4399.
    4. Wu, Xiaohua & Hu, Xiaosong & Yin, Xiaofeng & Zhang, Caiping & Qian, Shide, 2017. "Optimal battery sizing of smart home via convex programming," Energy, Elsevier, vol. 140(P1), pages 444-453.
    5. Lipp, Judith, 2007. "Lessons for effective renewable electricity policy from Denmark, Germany and the United Kingdom," Energy Policy, Elsevier, vol. 35(11), pages 5481-5495, November.
    6. Haas, Reinhard & Resch, Gustav & Panzer, Christian & Busch, Sebastian & Ragwitz, Mario & Held, Anne, 2011. "Efficiency and effectiveness of promotion systems for electricity generation from renewable energy sources – Lessons from EU countries," Energy, Elsevier, vol. 36(4), pages 2186-2193.
    7. Coulomb, L. & Neuhoff, K., 2006. "Learning curves and changing product attributes: the case of wind turbines," Cambridge Working Papers in Economics 0618, Faculty of Economics, University of Cambridge.
    8. Merei, Ghada & Moshövel, Janina & Magnor, Dirk & Sauer, Dirk Uwe, 2016. "Optimization of self-consumption and techno-economic analysis of PV-battery systems in commercial applications," Applied Energy, Elsevier, vol. 168(C), pages 171-178.
    9. Frondel, Manuel & Ritter, Nolan & Schmidt, Christoph M., 2008. "Germany's solar cell promotion: Dark clouds on the horizon," Energy Policy, Elsevier, vol. 36(11), pages 4198-4204, November.
    10. 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.
    11. Maria Rosario Garzón Sampedro & Carlos Sanchez Gonzalez, 2016. "Spanish photovoltaic learning curve," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 11(2), pages 177-183.
    12. 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.
    13. Kwon, Tae-hyeong, 2015. "Rent and rent-seeking in renewable energy support policies: Feed-in tariff vs. renewable portfolio standard," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 676-681.
    14. García-Álvarez, María Teresa & Cabeza-García, Laura & Soares, Isabel, 2017. "Analysis of the promotion of onshore wind energy in the EU: Feed-in tariff or renewable portfolio standard?," Renewable Energy, Elsevier, vol. 111(C), pages 256-264.
    15. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    16. Butler, Lucy & Neuhoff, Karsten, 2008. "Comparison of feed-in tariff, quota and auction mechanisms to support wind power development," Renewable Energy, Elsevier, vol. 33(8), pages 1854-1867.
    17. Dong, Yanli & Shimada, Koji, 2017. "Evolution from the renewable portfolio standards to feed-in tariff for the deployment of renewable energy in Japan," Renewable Energy, Elsevier, vol. 107(C), pages 590-596.
    18. Menanteau, Philippe & Finon, Dominique & Lamy, Marie-Laure, 2003. "Prices versus quantities: choosing policies for promoting the development of renewable energy," Energy Policy, Elsevier, vol. 31(8), pages 799-812, June.
    19. Buckman, Greg, 2011. "The effectiveness of Renewable Portfolio Standard banding and carve-outs in supporting high-cost types of renewable electricity," Energy Policy, Elsevier, vol. 39(7), pages 4105-4114, July.
    20. Choi, Gobong & Huh, Sung-Yoon & Heo, Eunnyeong & Lee, Chul-Yong, 2018. "Prices versus quantities: Comparing economic efficiency of feed-in tariff and renewable portfolio standard in promoting renewable electricity generation," Energy Policy, Elsevier, vol. 113(C), pages 239-248.
    21. repec:zbw:rwirep:0040 is not listed on IDEAS
    22. Painuly, J.P, 2001. "Barriers to renewable energy penetration; a framework for analysis," Renewable Energy, Elsevier, vol. 24(1), pages 73-89.
    23. 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.
    24. Hong, Sungjun & Chung, Yanghon & Woo, Chungwon, 2015. "Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea," Energy, Elsevier, vol. 79(C), pages 80-89.
    25. de La Tour, Arnaud & Glachant, Matthieu & Ménière, Yann, 2013. "Predicting the costs of photovoltaic solar modules in 2020 using experience curve models," Energy, Elsevier, vol. 62(C), pages 341-348.
    26. Pyrgou, Andri & Kylili, Angeliki & Fokaides, Paris A., 2016. "The future of the Feed-in Tariff (FiT) scheme in Europe: The case of photovoltaics," Energy Policy, Elsevier, vol. 95(C), pages 94-102.
    27. Mitchell, Catherine & Connor, Peter, 2004. "Renewable energy policy in the UK 1990-2003," Energy Policy, Elsevier, vol. 32(17), pages 1935-1947, November.
    28. Sun, Peng & Nie, Pu-yan, 2015. "A comparative study of feed-in tariff and renewable portfolio standard policy in renewable energy industry," Renewable Energy, Elsevier, vol. 74(C), pages 255-262.
    29. Mitchell, C. & Bauknecht, D. & Connor, P.M., 2006. "Effectiveness through risk reduction: a comparison of the renewable obligation in England and Wales and the feed-in system in Germany," Energy Policy, Elsevier, vol. 34(3), pages 297-305, February.
    30. Dong, C.G., 2012. "Feed-in tariff vs. renewable portfolio standard: An empirical test of their relative effectiveness in promoting wind capacity development," Energy Policy, Elsevier, vol. 42(C), pages 476-485.
    31. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
    32. Wei, Max & Smith, Sarah Josephine & Sohn, Michael D., 2017. "Non-constant learning rates in retrospective experience curve analyses and their correlation to deployment programs," Energy Policy, Elsevier, vol. 107(C), pages 356-369.
    33. del Río, Pablo, 2012. "The dynamic efficiency of feed-in tariffs: The impact of different design elements," Energy Policy, Elsevier, vol. 41(C), pages 139-151.
    34. Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
    35. Tamás, Mészáros Mátyás & Bade Shrestha, S.O. & Zhou, Huizhong, 2010. "Feed-in tariff and tradable green certificate in oligopoly," Energy Policy, Elsevier, vol. 38(8), pages 4040-4047, August.
    Full references (including those not matched with items on IDEAS)

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    7. Zhang, Libo & Chen, Changqi & Wang, Qunwei & Zhou, Dequn, 2021. "The impact of feed-in tariff reduction and renewable portfolio standard on the development of distributed photovoltaic generation in China," Energy, Elsevier, vol. 232(C).

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