Tooling of Modeling and Strategic Planning of Energy-Efficient Development of the Regional Fuel and Energy Complex
More details
Hide details
Samara State University of Economics, RUSSIA
Gabibulla R. Khasaev   

Department of Regional Economy and Management, Samara State University of Economics, Samara, Russia
Online publish date: 2017-10-01
Publish date: 2017-10-01
Eurasian J Anal Chem 2017;12(Interdisciplinary Perspective on Sciences 7b):1169–1182
The article is devoted to the relevant problem of regional development – elaboration of methodical tooling and information technologies of macroeconomic modeling and strategic planning of energy-efficient development of the Russian Federation regions. The task of energy-efficient development is solved through the search of the agreed scenarios of development of the Fuel and Energy Complex (FEC) and economy of the region; the scenarios which help to achieve the maximum approach to the targets for the offered system of energy indicators. The authors developed a dynamic multisectoral model of the Fuel and Energy Complex, which reproduces interconnected production processes, processing, transportation and use of all types of fuel and energy resources in the region. The methodology of formation of the multiple regional fuel and energy balance (FEB) is offered. It allows predicting energy intensity and energy consumption of economy, including, energy consumption of GRP, estimating energy security and energy efficiency of economy, and revealing “narrow” places and threats in FEC development. The methods and algorithms allowing solving the problems of multi-purpose management of FEC for many tens of the purposes and hundreds of control variables are developed for estimation of achievability of the purposes of energy-efficient development of the Russian Federation regions. On the basis of the methods and models, presented in the article, information technologies of situational forecasting and strategic planning are realized in the form of predictive and analytical system, aimed at support of managerial decisions of regional authorities in the task of energy efficiency and energy security increase at the Russian Federation regions. The developed tooling was calibrated on the statistical material of the Samara region and was tested while solving practical tasks of strategic planning of energy-efficient development of the Russian Federation regions.
The project of the energy strategy of the Russian Federation for the period until 2035. (2017). Retrived from (Accessed date: 03.04.2007).
Borges, A. R., & Antunes, C. H. (2003). A fuzzy multiple objective support model for energy-economy planning. European Journal of Operational Research, 145, 304-316.
SCANER. (2011). Model and information complex. Oxford: Institute for Energy Studies RAS.
Psarras, J., Capros, P., & Samouilidis, J. E. (1990). Multiobjective programming. Energy, 15, 583–605.
Greening, L. A., & Bernow, S. (2004). Design of coordinated energy and environmental policies: use of multi-criteria decision-making. Energy Policy, 32, 721-735.
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.
Capros, P., Karadeloglou, P., Mentzas, G., & Samouilidis, J. E. (1990). Short and medium-term modeling and problems of models linkage. Energy, 15, 301–324.
Jebaraj, S., & Iniyan, S. (2006). A review of energy models. Renewable and Sustainable Energy Reviews, 10, 281–311.
Dixon, P. B., Koopman, R. B., & Rimmer, M. T. (2013). The MONASH Style of Computable General Equilibrium Modeling. Handbook of computable general equilibrium modeling, 1, 23-103.
Wickens, M. (2008). Macroeconomic theory: a dynamic general equilibrium approach. Princeton: Princeton University Press.
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. Amsterdam: Elsevier.
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, 51, 403-411.
Farajzadeh, Z., & Bakhshoodeh, M. (2015). Economic and environmental analyses of Iranian energy subsidy reform using Computable General Equilibrium (CGE) model. Energy for Sustainable Development, 27, 147-154.
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. Amsterdam: Elsevier.
Dixon, P. B., & Jorgenson, D. W. (2012). Policy Analysis. Chapter 2 in the Handbook of Computable General Equilibrium Modeling. Amsterdam: Elsevier.
Makarov, А. А., Grigoriev, L. М., & Mitrov, T. A. (2015). Evolution of the world energy markets and its consequences for Russia. Moscow: Institute for Energy Studies RAS –Аttestation Agency affiliated to the government of RF.
Bykova, Е. V., & Grodetskii, М. V. (2011). Analysis and monitoring of energy security and prediction of indicator values using conventional non-linear mathematical programming. Economy of region, 3, 234-240.
Ratmanova, I. D., & Kuleshov, М. А. (2014). Consolidated fuel and energy balance development within regional information analysis system. Vestnik of Ivanovo State Power Engineering University, 4, 1–7.
Federal Law from 28.06.2014 № 172-FZ «On strategic planning in the Russian Federation». Retrived from (Accessed date: 19.09.2016).
GOST 31607-2012. (2012). Energy saving. Regulatory and methodological support. Main principles.
GOST 31532-2012. (2012). Energy saving. Energy efficiency. Structure of indicators. General terms.
Tsybatov, V. А. (2015a). Strategic planning of regional development: methods, models, information technologies. Economy of region: theory and practice, 27, 36-53.
Ministry of Energy of the Russian Federation. (2011). Order of 14 December 2011 № 600 «On approval of preparation procedure of the Fuel and Energy Balances of the constituent territorys of the Russian Federation, municipal establishments» (as amended on 19 November 2015). Retrieved from (Accessed date: 15.01.2016).
Federal State Statistics Service. (2014). Order of 4 April 2014 N 229. «On approval of official statistical methodology for preparation of the Fuel and Energy Balance of the Russian Federation». Retrieved from (Accessed date: 15.01.2016).
Key World Energy STATISTICS. (2014). OECD/IEA, 2014 International Energy Agency (IEA). Retrieved from (Accessed date: 15.01.2016).
Energy balances of non-OECD countries. OECD. (2015). Revised edition. Database documentation. Retrieved from (accessed date: 15.01.2016).
Tsybatov, V. А. (2015b). Models and methods of strategic planning of regional development. Vestnik of Samara State University of Economics, 3(125), 49-66.
System of National Accounts 2008. (2012). Edited by Professor Yu. N. Ivanova. New York: European Commission, UNO, IMF, ОECD, WB.
Russian Classification of Economic Activities (2016). ОК 029-2014. Classification of Economic Activities of the European Community. Retrieved from http://xn---2-dlci2ax1i.xn--p1... (Accessed date: 15.01.2016).