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The impacts of technological learning on the optimum technology mix: simulations for the Indian power sector

Author

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  • Jyotirmay Mathur
  • Narendra Kumar Bansal
  • Hermann-Joseh Wagner

Abstract

For the investigation of the optimum technology mix of any country, which is clearly an issue of dynamic nature, technological learning and economies of scale play a significant role. Hence, in this paper's long term planning exercise for the Indian power sector (2000-2025), our simulation analysis specifically includes the impacts of technological learning on the optimal inter-temporal choice of power generation technologies. Based on dynamic linear programming methods and MARKAL, a software tool for power generation capacity planning, the most significant result of our analysis is that among various renewable energy technologies, technological learning will favour wind and small hydropower generation, while pressurised fluidised bed combustion-based coal power plants appear to be the favourite conventional fossil fuel-based technology in India.

Suggested Citation

  • Jyotirmay Mathur & Narendra Kumar Bansal & Hermann-Joseh Wagner, 2004. "The impacts of technological learning on the optimum technology mix: simulations for the Indian power sector," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 2(3), pages 240-249.
    • Handle: RePEc:ids:ijetpo:v:2:y:2004:i:3:p:240-249
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