Economical assessment of large-scale photovoltaic power development in China
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DOI: 10.1016/j.energy.2012.01.053
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- Kahouli-Brahmi, Sondes, 2009. "Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach," Ecological Economics, Elsevier, vol. 68(4), pages 1195-1212, February.
- Lund, P.D., 2010. "Exploring past energy changes and their implications for the pace of penetration of new energy technologies," Energy, Elsevier, vol. 35(2), pages 647-656.
- Mondal, Md. Alam Hossain & Denich, Manfred & Vlek, Paul L.G., 2010. "The future choice of technologies and co-benefits of CO2 emission reduction in Bangladesh power sector," Energy, Elsevier, vol. 35(12), pages 4902-4909.
- McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
- Zhang, Xiliang & Ruoshui, Wang & Molin, Huo & Martinot, Eric, 2010. "A study of the role played by renewable energies in China's sustainable energy supply," Energy, Elsevier, vol. 35(11), pages 4392-4399.
- Rigter, Jasper & Vidican, Georgeta, 2010. "Cost and optimal feed-in tariff for small scale photovoltaic systems in China," Energy Policy, Elsevier, vol. 38(11), pages 6989-7000, November.
- Kypreos, Socrates, 2005. "Modeling experience curves in MERGE (model for evaluating regional and global effects)," Energy, Elsevier, vol. 30(14), pages 2721-2737.
- 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.
- Wang, Qiang, 2010. "Effective policies for renewable energy--the example of China's wind power--lessons for China's photovoltaic power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(2), pages 702-712, February.
- 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.
- Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
- Kobos, Peter H. & Erickson, Jon D. & Drennen, Thomas E., 2006. "Technological learning and renewable energy costs: implications for US renewable energy policy," Energy Policy, Elsevier, vol. 34(13), pages 1645-1658, September.
- Isoard, Stephane & Soria, Antonio, 2001. "Technical change dynamics: evidence from the emerging renewable energy technologies," Energy Economics, Elsevier, vol. 23(6), pages 619-636, November.
- Grubler, Arnulf & Nakicenovic, Nebojsa & Victor, David G., 1999. "Dynamics of energy technologies and global change," Energy Policy, Elsevier, vol. 27(5), pages 247-280, May.
- C. Harmon, 2000. "Experience Curves of Photovoltaic Technology," Working Papers ir00014, International Institute for Applied Systems Analysis.
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- Moosavian, S.M. & Rahim, N.A. & Selvaraj, J. & Solangi, K.H., 2013. "Energy policy to promote photovoltaic generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 44-58.
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Keywords
Photovoltaic (PV); China; Learning cost;All these keywords.
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