Gabibulla Khasaev, Vladimir Tsybatov



The Energy-Efficient Development of the Russian Federation Entity: Models and Information Technologies

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In the article, the task of the energy-efficient development of the region is reduced to search for coordinated scenarios for the development of the regional economy and fuel and energy complex (FEC), in which the maximum approach to the objectives for a comprehensive system of indicators is achieved. This system of indicators contains: economic indicators characterizing the regional growth of human welfare and the potential of the regional economy, as well as energy indicators characterizing the efficiency of production processes, processing, transportation and the use of all types of fuel and energy resources in the region. The authors developed a dynamic multi-sector model of the fuel and energy complex as part of the economic model of the Russian Federation region and proposed the methodology that ensures approval and iterative coordination of scenario forecasts of energy consumption and production of energy resources in the region by main types of fuel and energy resources. To assess the achievement of the objectives of the energy-efficient development of the region of the Russian Federation, the authors developed methods and algorithms that make it possible to solve the tasks of multiobjective management of the regional economy and he fuel and energy complex for many dozen objectives and hundreds of control variables. Based on the methods and models presented in the article, information technology for forecasting and strategic planning is implemented in the form of the forecasting and analytical system designed to support management decisions of regional authorities in the tasks of increasing energy efficiency and energy security of the Russian Federation entity. The developed tools were calibrated on the statistical material of the Samara region.



energy-efficient development, energy indicators, modeling, forecasting, strategic planning



[1] Energy Efficiency. European Commission. available at: https://ec.europa.eu/energy/en/topics/energy-efficiency

[2] Good practice in energy efficiency. For a sustainable, safer and more competitive Europe. European Commission, available at: https://ec.europa.eu/energy/sites/ener/files/documents/good_practice_in_ee_-web.pdf

[3] Good practice in energy efficiency. Commission staff working document. - European Commission. Brussels, 30.11.2016. - SWD(2016) 404 final, available at: http://eur-lex.europa.eu/legal-content/EN/TXT/?qid=1490870135947&uri=CELEX:52016SC0404

[4] The energy strategy of Russia for the period up to 2030, available at: https://minenergo.gov.ru/node/1026

[5] Draft Energy Strategy of the Russian Federation for the period up to 2035 (revised as of 01.02.2017) available at: http://minenergo.gov.ru/node/1920

[6] R. Young, S. Hayes, M. Kelly, S. Vaidyanathan, S. Kwatra, R. Cluett, G. Herndon. The 2014 International Energy Efficiency Scorecard. American Council for an Energy-Efficient Economy. July 2014. Report Number E1402.

[7] Accelerating energy efficiency initiatives and opportunities in Eastern Europe, Caucasus and Central Asia. Copenhagen Centre on Energy Efficiency (2015). - Copenhagen. Denmark, available at: http://www.energyefficiencycentre.org

[8] Worldwide Trends in Energy Use and Efficiency: Key Insights from IEA Indicator Analysis // OECD/IEA. – Paris, 2008. - 91 p.

[9] Borges, A.R., & Antunes, CH. (2003). A fuzzy multiple objective support model for energy-economy planning. European Journal of Operational Research, 145, pp. 304-316.

[10] SCANER - a model and information complex. ERI RAS, (2011), 74 p.

[11] Psarras, J., Capros P., & Samouilidis J. E. (1990). Multiobjective programming. Energy, 15, pp. 583–605.

[12] Greening, L.A., & Bernow S. (2004). Design of coordinated energy and environmental policies: use of multi-criteria decision-making. Energy Policy, 32, 721-735.

[13] Becalli, M., Cellura, M., & Mistretta, M. (2003). Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology. Renewable Energy, 28, 2063-2087.

[14] Capros, P., Karadeloglou, P., Mentzas, G. & Samouilidis, J. E. (1990). Short and medium-term modeling and problems of models linkage. Energy, 15, pp. 301–324.

[15] Jebaraj, S., & Iniyan, S. (2006) A review of energy models. Renewable and Sustainable Energy Reviews, 10, pp. 281–311.

[16] Dixon, P.B., Koopman, R.B. & Rimmer, M.T. (2013). The MONASH Style of Computable General Equilibrium Modeling: A Framework for Practical Policy Analysis. Chapter 2 in the Handbook of Computable General Equilibrium Modeling. Dixon, P.B. & Jorgenson, D.W. (eds.). North-Holland, Amsterdam, pp. 22-103.

[17] Wickens, M. (2008). Macroeconomic theory: a dynamic general equilibrium approach. Princeton: Princeton University Press, 477 p.

[18] Adams, P.D., & Parmenter, B.R. (2013). Computable General Equilibrium Modeling of Environmental Issues in Australia: Economic Impacts of An Emission Trading Scheme. Chapter 9 in the Handbook of Computable General Equilibrium Modeling Dixon, P.B. & Jorgenson, D.W. (eds.), NorthHolland, Amsterdam, pp. 553-657.

[19] Bohlmann, H.R., Van Heerden, J.H, Dixon, P.B., & Rimmer, M.T. (2015). The Impact of the 2014 Platinum Mining Strike in South Africa: An Economy-Wide Analysis. Economic Modelling, Volume 51, pp.403-411.

[20] Farajzadeh, Z., & Bakhshoodeh, M. (2015). Economic and environmental analyses of Iranian energy subsidy reform using Computable General Equilibrium (CGE) Gabibulla Khasaev, Vladimir Tsybatov model. Energy for Sustainable Development. Volume 27, August 2015, pp. 147-154.

[21] Jorgenson, D.W, Goettle, R.J, Ho, M.S & Wilcoxen, P.J. (2013). Energy, the Environment and US Economic Growth. Chapter 8 in the Handbook of Computable General Equilibrium Modeling. Dixon, P.B. & Jorgenson, D.W. (eds.). North-Holland, Amsterdam, pp. 475-552.

[22] Evolution of the world energy markets and its consequences for Russia (2015). Ed. A.A. Makarova, L. M. Grigoryeva, & Mitrova, T. A. Moscow: ERI RAS-AC under the Government of the Russian Federation, 400 p.

[23] Bykova, E. V., & Grodetsky, M. V. (2011). Analysis and monitoring of energy security and forecasting the values of indicators by the method of conditional nonlinear mathematical programming. The economy of the region, Issue 3, pp. 234-240.

[24] Ratmanova, I.D. & Kuleshov, M.A. (2014). Formation of the consolidated fuel and energy balance within the framework of the regional information and analytical system. Bulletin of Ivanovo State Energy University, Issue 4, pp. 1-7.

[25] The Federal Law as of June 28, 2014 No. 172-FZ "On Strategic Planning in the Russian Federation". URL: http://base.garant.ru/70684666/

[26] Stiglitz, J.E., Sen, A. and J. Fitoussi. 2009. “Report by the Commission on the Measurement of Economic Performance and Social Progress,” CMEPSP, available at: http://www.stiglitz-sen-fitoussi.fr/documents/rapport_anglais.pdf

[27] OECD Framework for Statistics on the Distribution of Household Income, Consumption and Wealth (2013), available at: http://www.oecd.org/statistics/302013041e.pdf [28] ГОСТ 31607-2012 Энергосбережение. Нормативно-методическое обеспечение. Основные положения.

[29] GOST 31532-2012 Energy saving. Energy efficiency. Composition of indicators. General provisions. [30] Tsybatov, V. A. (2015). Strategic planning of the regional development: methods, models, information technologies. Regional economy. Theory and Practice, Issue 27 (July), pp. 36 - 53.

[31] The Ministry of Energy of the Russian Federation. Order No. 600 of 14 December 2011 "On Approving the Procedure for Drawing Up Fuel and Energy Balances of Subjects of the Russian Federation and Municipal Formations" (as amended on November 19, 2015) available at: http://docs.cntd.ru/document/902320537

[32] The Federal Service of State Statistics. Order No. 229 of April 4, 2014. "On the approval of the official statistical methodology for the compilation of the fuel and energy balance of the Russian Federation." available at: http://docs.cntd.ru/document/499089559

[33] Key World Energy STATISTICS. OECD/IEA, 2014 International Energy Agency (IEA). available at: http://www.energyconf.ir/pdf/6.pdf

[34] Energy balances of non-OECD countries. OECD. (2015). Revised edition. Database documentation. URL: http://wds.iea.org/wds/pdf/WEDBAL_documentation.pdf [35] Tsybatov, V. A. (2015). Models and methods of the regional development strategy. Bulletin of Samara State University of Economics, Issue 3 (125), pp. 49-66.

[36] All-Russian classifier of economic activities (OKVED 2). OK 029-2014 (NACE Rev. 2), available at: http://xn---2-dlci2ax1i.xn--p1ai/

[37] The system of National Accounts 2008. (2012). Ed. Prof. Yu. N. Ivanova. European Commission, UN, IMF, OECD, WB. New York, 764 p.

Cite this paper

Gabibulla Khasaev, Vladimir Tsybatov. (2017) The Energy-Efficient Development of the Russian Federation Entity: Models and Information Technologies. International Journal of Environmental Science, 2, 373-385


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