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Unleashing the Potential of Renewable Energy in India

Author

Listed:
  • Gevorg Sargsyan
  • Mikul Bhatia
  • Sudeshna Ghosh Banerjee
  • Krishnan Raghunathan
  • Ruchi Soni

Abstract

India has 150 GW of renewable energy potential, about half in the form of small hydropower, biomass, and wind and half in solar, cogeneration, and waste-to-energy. Developing renewable energy can help India increase its energy security, reduce the adverse impacts on the local environment, lower its carbon intensity, contribute to more balanced regional development, and realize its aspirations for leadership in high-technology industries. This diagnostic note draws on a detailed analysis conducted by a PricewaterhouseCoopers India consulting team in 2008-09 for the World Bank. The data are based on information on about 180 wind, biomass, and small hydropower projects in 20 states, as well as information from and norms of the Ministry of New and Renewable Energy (MNRE) and the Central Electricity Regulatory Commission (CERC). The study is intended to provoke discussions of the feasibility of renewable energy development in India. Why is renewable energy development relevant? How much development is economically feasible? What needs to be done to realize the potential? Each of these topics is addressed in a separate chapter, all of which suggest a few implementable measures that India can consider to tap its economically feasible unharnessed potential.

Suggested Citation

  • Gevorg Sargsyan & Mikul Bhatia & Sudeshna Ghosh Banerjee & Krishnan Raghunathan & Ruchi Soni, 2011. "Unleashing the Potential of Renewable Energy in India," World Bank Publications - Books, The World Bank Group, number 2318.
    • Handle: RePEc:wbk:wbpubs:2318
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    File URL: https://openknowledge.worldbank.org/bitstream/handle/10986/2318/627060PUB0Unle000public00BOX361489B.pdf?sequence=1
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    Citations

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    Cited by:

    1. Nithya Saiprasad & Akhtar Kalam & Aladin Zayegh, 2019. "Triple Bottom Line Analysis and Optimum Sizing of Renewable Energy Using Improved Hybrid Optimization Employing the Genetic Algorithm: A Case Study from India," Energies, MDPI, vol. 12(3), pages 1-23, January.
    2. Bhattacharya, S.C., 2015. "Wood energy in India: Status and prospects," Energy, Elsevier, vol. 85(C), pages 310-316.
    3. Sindhu, Sonal & Nehra, Vijay & Luthra, Sunil, 2016. "Identification and analysis of barriers in implementation of solar energy in Indian rural sector using integrated ISM and fuzzy MICMAC approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 70-88.
    4. Sutapa Pati, 2017. "Socio-Technical Drivers for Community Renewable Energy Systems – Analysis of Case Studies from India," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 10(3), pages 143-143, May.
    5. Ansari, Md. Fahim & Kharb, Ravinder Kumar & Luthra, Sunil & Shimmi, S.L. & Chatterji, S., 2013. "Analysis of barriers to implement solar power installations in India using interpretive structural modeling technique," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 163-174.
    6. Karoliina Isoaho & Alexandra Goritz & Nicolai Schulz, 2016. "Governing clean energy transitions in China and India: A comparative political economy analysis," WIDER Working Paper Series 028, World Institute for Development Economic Research (UNU-WIDER).
    7. Sarah Feron, 2016. "Sustainability of Off-Grid Photovoltaic Systems for Rural Electrification in Developing Countries: A Review," Sustainability, MDPI, vol. 8(12), pages 1-26, December.
    8. Karoliina Isoaho & Alexandra Goritz & Nicolai Schulz, 2016. "Governing clean energy transitions in China and India: A comparative political economy analysis," WIDER Working Paper Series wp-2016-28, World Institute for Development Economic Research (UNU-WIDER).

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