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Renewable electricity generation in India—A learning rate analysis

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  • Partridge, Ian

Abstract

The cost of electricity generation using renewable technologies is widely assumed to be higher than the cost for conventional generation technologies, but likely to fall with growing experience of the technologies concerned. This paper tests the second part of that statement using learning rate analysis, based on large samples of wind and small hydro projects in India, and projects likely changes in these costs through 2020. It is the first study of learning rates for renewable generation technologies in India, and only the second in any developing country—it provides valuable input to the development of Indian energy policy and will be relevant to policy makers in other developing countries.

Suggested Citation

  • Partridge, Ian, 2013. "Renewable electricity generation in India—A learning rate analysis," Energy Policy, Elsevier, vol. 60(C), pages 906-915.
    • Handle: RePEc:eee:enepol:v:60:y:2013:i:c:p:906-915
    DOI: 10.1016/j.enpol.2013.05.035
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    References listed on IDEAS

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    Cited by:

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    2. Tian Tang & David Popp, 2014. "The Learning Process and Technological Change in Wind Power: Evidence from China's CDM Wind Projects," CESifo Working Paper Series 4705, CESifo.
    3. Lin, Boqiang & He, Jiaxin, 2016. "Learning curves for harnessing biomass power: What could explain the reduction of its cost during the expansion of China?," Renewable Energy, Elsevier, vol. 99(C), pages 280-288.
    4. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
    5. 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.
    6. Grubb, Michael & Drummond, Paul & Poncia, Alexandra & McDowall, Will & Popp, David & Samadi, Sascha & Penasco, Cristina & Gillingham, Kenneth T. & Smulders, Sjak & Glachant, Matthieu & Hassall, Gavin , 2021. "Induced innovation in energy technologies and systems: A review of evidence and potential implications for CO2 mitigation," LSE Research Online Documents on Economics 113439, London School of Economics and Political Science, LSE Library.
    7. 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).
    8. Elia, A. & Taylor, M. & Ó Gallachóir, B. & Rogan, F., 2020. "Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers," Energy Policy, Elsevier, vol. 147(C).
    9. Ma, Xiaochen & Pan, Yanchun & Zhang, Manzi & Ma, Jianhua & Yang, Wen, 2024. "Impact of carbon emission trading and renewable energy development policy on the sustainability of electricity market: A stackelberg game analysis," Energy Economics, Elsevier, vol. 129(C).
    10. Singh, Kewal & Singh, Anoop & Prakash, Puneet, 2022. "Estimating the cost of equity for the regulated energy and infrastructure sectors in India," Utilities Policy, Elsevier, vol. 74(C).

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