Further Development of the Long-Term Projections Methodology for the Energy Sector

  • Yuri D. KononovEmail author
Part of the Springer Geophysics book series (SPRINGERGEOPHYS)


Long-term projections of the social-and-economic area and the science-and-technological area alike are gaining importance in their agenda-setting role. The evolution of the models and their applications initially followed the path of gradual sophistication by way of an increasingly more elaborate representation of the economy and the energy sector, which was later superseded by hierarchically-built models. Striving for an utterly comprehensive while mathematically tractable treatment of development dynamics and non-linear relationships within the system studied as well as the detailed representation of its structure can go against the grain of the inherent uncertainty of input economic data and the mutable nature of properties of complex systems. Hence the necessity to match the accuracy of calculation results with the accuracy of the input data. To this end, a novel incremental multi-stage approach to long-term energy sector projections is outlined, which is built upon the structural analysis of the projection range.


Models Correspondence principle Input data accuracy Projection range Risk Invariants 


  1. 1.
    Gabor D, Colombo U (1978) Beyond the age of waste: a report to the Club of Rome. Pergamon Press, Oxford, p 264Google Scholar
  2. 2.
    Voropai NI (ed) (2010) Energy systems analysis: the Siberian Energy Institute/Energy Systems Institute schools of thought in hindsight. Nauka, Novosibirsk, p 686Google Scholar
  3. 3.
    Lagerev AV (2014) A dynamic territorial and production model for the development of scenarios of a mutually aligned development of Russia’s energy industry as concerns its federal subjects. Izvestiia RAN. Energetika 4:26–32 (In Russian)Google Scholar
  4. 4.
    Kononov YD (2009) The MIDL macroeconomic model. Methods and models of projections of energy-economy interactions. Nauka, Novosibirsk, pp 143–146 (In Russian)Google Scholar
  5. 5.
    Kononov YD (1981) Energy and economy: the challenge to transitioning to new energy sources. Nauka, Moscow, p 190 (In Russian)Google Scholar
  6. 6.
    (1981) Energy in a finite world: a global systems analysis. Ballinger Publishing Company, Cambridge, MA, p 825Google Scholar
  7. 7.
    Makarov AA (2003) The system analysis of the prospective development of the energy industry. Izvestiia RAN. Energetika 1:42–50 (In Russian)Google Scholar
  8. 8.
    U.S. Energy Information Administration. The National Energy Modeling System: An overview [Electronic Publication]/U.S. Energy Information Administration. Retrieved from:
  9. 9.
    Voss A, Schlenzig C, Reuter A Mesap-III. A tool for energy planning and environmental management: History and new developments [Electronic Publication]. Retrieved from:
  10. 10.
    Makarov AA (ed) (2011) SCANER. Model and information system. Energy Research Institute, Moscow, p 72 (In Russian)Google Scholar
  11. 11.
    Melentiev LA (1979) Energy systems analysis: sketch for a theory and directions for development. Nauka, Moscow, p 414 (In Russian)Google Scholar
  12. 12.
    Sessions R (1950) How a ‘difficult’ composer gets that way. New York Times, p 59Google Scholar
  13. 13.
    Moiseev NN (1984) The scientific prediction: illusions and realities. Znanie, Sila, No. 2 (In Russian)Google Scholar
  14. 14.
    Saenko VV, Kurichev NK (2013) Six steps of energy strategizing (the case of the Energy Strategy 2035/2050). Energeticheskaia politika 2:35–46 (In Russian)Google Scholar
  15. 15.
    Rubinshtein AL (1975) Methodological problems of economic projections of scientific and technological advances. In: Vilensky MA (ed) Economic aspects of technological forecasting. Ekonomika, Moscow, p 222 (In Russian)Google Scholar
  16. 16.
    Makarov AA, Makarova AS, Khorshev AA (2011) Prospects of the development of nuclear power plants to the mid-twenty-first century. Energy Research Institute, Moscow, p 210 (In Russian)Google Scholar
  17. 17.
    Ministry of Energy of the Russian Federation. The agency for forecasting electric power energy balances. Scenario assumptions for the development of the electric power industry to the year 2030 [Electronic Publication]. Retrieved from: (In Russian)
  18. 18.
    Ministry of Energy of the Russian Federation. Until the year 2020, with the projection time frame extended to the year 2030. [Electronic Publication]. Retrieved from: (In Russian)
  19. 19.
    Ministry of Energy of the Russian Federation. Energy strategy of Russian to the year 2035. Key takeaways [Electronic Publication]. Retrieved from: (In Russian)
  20. 20.
    U.S. Energy Information Administration. International Energy Outlook 2013 [Electronic Publication]. Retrieved from:
  21. 21.
    U.S. Energy Information Administration. Annual Energy Outlook 2013 [Electronic Publication]. Retrieved from:
  22. 22.
    U.S. Energy Information Administration. Annual Energy Outlook 2014 [Electronic Publication]. Retrieved from:

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.IrkutskRussia

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