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Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea

Citations

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Cited by:

  1. Mauleón, Ignacio, 2016. "Photovoltaic learning rate estimation: Issues and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 507-524.
  2. Kwag, Kyuhyeong & Shin, Hansol & Oh, Hyobin & Yun, Sangmin & Kim, Tae Hyun & Hwang, Pyeong-Ik & Kim, Wook, 2023. "Bilevel programming approach for the quantitative analysis of renewable portfolio standards considering the electricity market," Energy, Elsevier, vol. 263(PD).
  3. Obara, Shin'ya & Morel Rios, Jorge Ricardo & Okada, Masaki, 2015. "Control of cyclic fluctuations in solid oxide fuel cell cogeneration accompanied by photovoltaics," Energy, Elsevier, vol. 91(C), pages 994-1008.
  4. Wei, Yi-Ming & Qiao, Lu & Lv, Xin, 2020. "The impact of mergers and acquisitions on technology learning in the petroleum industry," Energy Economics, Elsevier, vol. 88(C).
  5. Karali, Nihan & Park, Won Young & McNeil, Michael, 2017. "Modeling technological change and its impact on energy savings in the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 202(C), pages 447-458.
  6. Jong-Hyun Kim & Yong-Gil Lee, 2021. "Factors of Collaboration Affecting the Performance of Alternative Energy Patents in South Korea from 2010 to 2017," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
  7. Joshua M. Pearce & Nelson Sommerfeldt, 2021. "Economics of Grid-Tied Solar Photovoltaic Systems Coupled to Heat Pumps: The Case of Northern Climates of the U.S. and Canada," Energies, MDPI, vol. 14(4), pages 1-17, February.
  8. Yi Zhou & Alun Gu, 2019. "Learning Curve Analysis of Wind Power and Photovoltaics Technology in US: Cost Reduction and the Importance of Research, Development and Demonstration," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
  9. Iribarren, Diego & Martín-Gamboa, Mario & Navas-Anguita, Zaira & García-Gusano, Diego & Dufour, Javier, 2020. "Influence of climate change externalities on the sustainability-oriented prioritisation of prospective energy scenarios," Energy, Elsevier, vol. 196(C).
  10. Peffley, Trevor B. & Pearce, Joshua M., 2020. "The potential for grid defection of small and medium sized enterprises using solar photovoltaic, battery and generator hybrid systems," Renewable Energy, Elsevier, vol. 148(C), pages 193-204.
  11. Adesanya, Adewale A. & Pearce, Joshua M., 2019. "Economic viability of captive off-grid solar photovoltaic and diesel hybrid energy systems for the Nigerian private sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
  12. 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.
  13. Elia, A. & Kamidelivand, M. & Rogan, F. & Ó Gallachóir, B., 2021. "Impacts of innovation on renewable energy technology cost reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
  14. He, Yongxiu & Pang, Yuexia & Li, Xinmin & Zhang, Minhui, 2018. "Dynamic subsidy model of photovoltaic distributed generation in China," Renewable Energy, Elsevier, vol. 118(C), pages 555-564.
  15. Chelsea Schelly & Don Lee & Elise Matz & Joshua M. Pearce, 2021. "Applying a Relationally and Socially Embedded Decision Framework to Solar Photovoltaic Adoption: A Conceptual Exploration," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
  16. Choi, Donghyun & Kim, Yeong Jae, 2023. "Local and global experience curves for lumpy and granular energy technologies," Energy Policy, Elsevier, vol. 174(C).
  17. Jong-Hyun Kim & Yong-Gil Lee, 2017. "Analyzing the Learning Path of US Shale Players by Using the Learning Curve Method," Sustainability, MDPI, vol. 9(12), pages 1-8, December.
  18. Tadeusz Skoczkowski & Sławomir Bielecki & Joanna Wojtyńska, 2019. "Long-Term Projection of Renewable Energy Technology Diffusion," Energies, MDPI, vol. 12(22), pages 1-24, November.
  19. Chiara Modanese & Hannu S. Laine & Toni P. Pasanen & Hele Savin & Joshua M. Pearce, 2018. "Economic Advantages of Dry-Etched Black Silicon in Passivated Emitter Rear Cell (PERC) Photovoltaic Manufacturing," Energies, MDPI, vol. 11(9), pages 1-18, September.
  20. Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
  21. Jong-Hyun Kim & Yong-Gil Lee, 2018. "Learning Curve, Change in Industrial Environment, and Dynamics of Production Activities in Unconventional Energy Resources," Sustainability, MDPI, vol. 10(9), pages 1-11, September.
  22. 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).
  23. Joshua M. Pearce & Emily Prehoda, 2019. "Could 79 People Solarize the U.S. Electric Grid?," Societies, MDPI, vol. 9(1), pages 1-27, March.
  24. Ortega, Margarita & Río, Pablo del & Ruiz, Pablo & Thiel, Christian, 2015. "Employment effects of renewable electricity deployment. A novel methodology," Energy, Elsevier, vol. 91(C), pages 940-951.
  25. Hayibo, Koami Soulemane & Pearce, Joshua M., 2021. "A review of the value of solar methodology with a case study of the U.S. VOS," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
  26. Min-Kyu Lee & Ju-Hee Kim & Seung-Hoon Yoo, 2018. "Public Willingness to Pay for Increasing Photovoltaic Power Generation: The Case of Korea," Sustainability, MDPI, vol. 10(4), pages 1-11, April.
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