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Economical assessment of large-scale photovoltaic power development in China

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  • Zhang, Da
  • Chai, Qimin
  • Zhang, Xiliang
  • He, Jiankun
  • Yue, Li
  • Dong, Xiufen
  • Wu, Shu

Abstract

Photovoltaic (PV) power has a huge resource of supply, wide range of usage, and low impact on environment and it is considered as a key factor of the supply mix in the future for China. PV power is still in its infancy in China. It has higher cost than coal-fired power, and needs policy support. In recent years, China has launched a series of policies to stimulate PV power. These policies, however, are temporal, mainly because the total additional investment to make PV power grid parity is uncertain. After a brief review on current status of PV power development in China, this paper applies learning curve theory to study the cost reduction trends of polycrystalline silicon PV cells - main components of large-scale PV (LS-PV) power generation, then sets different scenarios to estimate time and the total learning cost of PV power’s grid parity. MESSAGE model is also applied to make a comparable estimation of the future PV installation in China. The results show that long-term subsidy policy for PV power is feasible in China with the rising cost of coal-fired power, but aggressive subsidy policy is not very efficient.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:40:y:2012:i:1:p:370-375
    DOI: 10.1016/j.energy.2012.01.053
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    6. 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.
    7. 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.
    8. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. C. Harmon, 2000. "Experience Curves of Photovoltaic Technology," Working Papers ir00014, International Institute for Applied Systems Analysis.
    14. 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.
    15. Kypreos, Socrates, 2005. "Modeling experience curves in MERGE (model for evaluating regional and global effects)," Energy, Elsevier, vol. 30(14), pages 2721-2737.
    Full references (including those not matched with items on IDEAS)

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