Optimal Pathways for Power Supply

  • Tejal Kanitkar
Part of the SpringerBriefs in Environmental Science book series (BRIEFSENVIRONMENTAL)


The second component of the integrated modeling framework is evaluating the optimal energy supply pathways for a particular region for a particular time given multiple constraints on resources, capital, emissions, etc. Various methods can be used to estimate energy demand. One such method used in this modeling framework is an input-output analysis that estimates economy-wide energy demand. This is discussed in Chap.  5. The next step after estimating demand is to evaluate ways in which this demand can be met. This includes estimating the appropriate fuel mix to satisfy energy needs. In this chapter a model is presented for the power sector that takes into consideration some of the key characteristics of the sector and fuel technologies. The objective is to arrive at estimates for the optimum fuel supply pathway for the power sector for a given demand. This chapter includes a detailed description of the power sector model built using the GAMS (General Algebraic Modeling System) platform and a few scenarios constructed for the purpose of illustrating the working of the model.


Constrained optimization GAMS Fuel-mix Generation expansion planning Carbon budget Least-cost energy pathways 


  1. Central Electricity Authority, India. (2009). All India Electricity Statistics: General Review 2009, New Delhi.Google Scholar
  2. Central Electricity Authority. (2011). All India Electricity Statistics 2011: General review 2011. New Delhi: Central Electricity Authority.Google Scholar
  3. Central Electricity Regulatory Commission. (2009). Central Electricity Regulatory Commission (Terms and Conditions of Tariff) Regulations. New Delhi.Google Scholar
  4. GoI. (2006). Government of India, Office of the Principal Scientific Adviser and the Energy and Resource Institute. National Energy Map for India: Technology Vision 2030. New Delhi: TERI Press.Google Scholar
  5. GoI. (2012). Planning Commission, Government of India. Report of the working group on power for 12th plan. New Delhi, Ministry of Power.Google Scholar
  6. International Energy Agency. (2011). World Energy Outlook 2011 Report, Assumed investment costs, operation and maintenance costs and efficiencies for power generation in the New Policies and 450 Scenarios. Retrieved April 23, 2015, from
  7. Mallah, S., & Bansal, N. K. (2010). Allocation of energy resources for power generation in India: Business as usual and energy efficiency. Energy Policy, 38(2), 1059–1066.CrossRefGoogle Scholar
  8. OXERA, O. E. (2002). A report to the DTI and the DTLR Regional Renewable Energy Assessments. Oxford: Oxera Environmental.Google Scholar
  9. Pauschert, D. (2009). Study of equipment prices in the power sector. ESMAP Technical Paper 122/09. Energy Sector Management Assistance Program. Washington, DC: The World Bank Group.Google Scholar
  10. van den Broek, M., et al. (2009). Effects of technological learning on future cost and performance of power plants with CO2 capture. Progress in Energy and Combustion Science, 35(6), 457–480.CrossRefGoogle Scholar
  11. World Bank, World Development Indicators. (2012). Per capita electricity consumption. Retrieved from
  12. World Bank, World Development Indicators. (2013). Per capita electricity consumption. Retrieved from
  13. Yeh, S., & Rubin, E. S. (2012). A review of uncertainties in technology experience curves. Energy Economics, 34(3), 762–771.CrossRefGoogle Scholar

Copyright information

© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Tejal Kanitkar
    • 1
  1. 1.School of Natural Sciences and EngineeringNational Institute of Advanced StudiesBengaluruIndia

Personalised recommendations