Strategic Planning of Energy-Efficient Development of a Region of the Russian Federation
DOI:
https://doi.org/10.17059/2018-3-18Keywords:
economy, energy, energy-efficient development, fuel and energy complex, fuel-energy balance, energy indicators, modelling, forecasting, strategic planning, scenario of developmentAbstract
When developing regional strategies, the effectiveness of energy solutions must be linked to the overall economic efficiency of regional development, since the targets for energy-efficient development may conflict with the objectives of the regional economy as a whole. In the article, the task of energy-efficient development of a region of the Russian Federation is reduced to the search for the agreed scenarios of the development of fuel and energy complex (FEC) and the regional economy. These scenarios allow achieving a maximum approximation to the stated goals for the set of energy and economic indicators. I have developed a model of the FEC of a region as a dynamic CGE-model. It is developed as a part of the general model of the socio-economic activity of a region. This model represents the interrelated processes of production, processing, transportation and the use of all types of fuel and energy resources in a region. I propose the forecasting methodology of balanced development of the economy and fuel and energy complex. This methodology provides iterative harmonization of forecasts for consumption and production of energy based on regional fuel and energy balance (FEB). At the same time, the FEB developed within the framework of the FEC model is a part of the overall product-sector balance of the economy, which plays the role of the “balance of balances”. It allows to simulate the interaction of FEC and the rest of the economy through inter-balance relations. Based on the developed methods and models, I have implemented the information technology of situation forecasting and strategic planning in the form of forecasting and analytical tool. This tool simulates the scenarios of energy-efficient development of the economy of the Samara region. As an example, the article presents the assessment of energy efficiency for an option of Samara region development according to the target scenario of Russia’s Energy Strategy for the period up to 2035.References
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. DOI:10.1016/S0377–2217(02)00536–2.
Makarov, A. A., Grigoryev, L. M. & Mitrovaya, T. A. (Eds). (2015). Evolyutsiya mirovykh energeticheskikh rynkov i eyo posledstviya dlya Rossii [Evolution of the world energy markets and its consequence for Russia]. Moscow: INEI RAN-ATS pri Pravitelstve RF Publ., 400. (In Russ.)
Makarov, A. A. (2011). SCANER — modelno-informatsionnyy kompleks [SCANER — model and information complex]. Moscow: INEI RAN Publ., 74. (In Russ.)
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. DOI: 10.1007/978–3–642–04045–0_4.
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(13), 2063–2087. DOI: 10.1016/S0960–1481(03)00102–2.
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. DOI: 10.1016/j.rser.2004.09.004.
Dixon, P. B., Koopman, R. B. & Rimmer, M. T. (2013). The MONASH Style of Computable General Equilibrium Modeling: A Framework for Practical Policy Analysis. Handbook of Computable General Equilibrium Modeling. In: Dixon, P. B. & Jorgenson, D. W. (Eds). North-Holland, Amsterdam. 1841; 22–103. DOI: 10.1016/B978–0–444–59568–3.00002-X.
Wickens, M. (2008). Macroeconomic theory: a dynamic general equilibrium approach. Princeton: Princeton University Press, 477.
Adams, P. D. & Parmenter, B. R. (2013). Computable General Equilibrium Modeling of Environmental Issues in Australia: Economic Impacts of An Emission Trading Scheme. Handbook of Computable General Equilibrium Modeling. In: Dixon, P. B. & Jorgenson, D. W. (Eds). NorthHolland, Amsterdam. 1841; 553–657. DOI: 10.1016/B978–0–444–59568–3.00009–2.
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. DOI: 10.1016/j.econmod.2015.08.010.
Farajzadeh, Z. & Bakhshoodeh, M. (2015, August). Economic and environmental analyses of Iranian energy subsidy reform using Computable General Equilibrium (CGE) model. Energy for Sustainable Development, 27, 147–154. DOI: 10.1016/j.esd.2015.06.002.
Jorgenson, D. W, Goettle, R. J, Ho, M. S & Wilcoxen, P. J. (2013). Energy, the Environment and US Economic Growth. Handbook of Computable General Equilibrium Modeling. In: Dixon, P.B. & Jorgenson, D.W. (Eds). North-Holland, Amsterdam. 1841; 475–552. DOI: 10.1016/B978–0–444–59568–3.00008–0.
Makarov, V. L., Bakhtizin, A. R. & Sulakshin, S. S. (2007). Primenenie vychislimykh modeley v gosudarstvennom upravlenii [Application of computable models in public administration]. Moscow: Nauchnyy ekspert Publ., 304. (In Russ.)
Ratmanova, I. D. & Kuleshov, M. A. (2014). Formirovanie svodnogo toplivno-energeticheskogo balansa v ramkakh regionalnoy informatsionno-analiticheskoy sistemy [Development of summary fuel and energy balance within regional information and analytical system]. Vestnik IGEU [Vestbik of Ivanovo State Power Engineering University], 4, 1–7. (In Russ.)
Bykova, E. V. & Grodetskiy, M. V. (2011). Analiz i monitoring energeticheskoy bezopasnosti i prognozirovanie znacheniy indikatorov metodom uslovnogo nelineynogo matematicheskogo programmirovaniya [Analysis and monitoring of energy security and prediction of indicator values using conventional non-linear mathematical programming]. Ekonomika regiona [Economt of Region], 3, 234–240. (In Russ.)
Putnam, P. (1953). Energy in the future. New York: D. Van Nostrand Co., 556.
Worldwide Trends in Energy Use and Efficiency: Key Insights from IEA Indicator Analysis. (2008). Paris: OECD/IEA, 91.
Dayneko, A. E., Padalko, L. P. & Tsilibina, V. M. (2015). Energoeffektivnost ekonomiki Belarusi [Energy efficiency of Belarus economy]. Minsk: Belaruskaya navuka Publ., 363. (In Russ.)
Tsybatov, V. A. (2015, July). Strategirovanie regionalnogo razvitiya: metody, modeli, informatsionnye tekhnologii [Strategic planning of regional development: methods, models, information technology] Regionalnaya ekonomika. Teoriya i praktika [Regional Economics: Theory and Practice], 27, 36–53. (In Russ.)
Novikov, D. A. & Chkhartishvili, A. G. (2002). Aktivnyy prognoz [Active forecast]. Moscow: IPU RAN Publ., 101. (In Russ.)
Ivanov, Yu. N. (Ed.). (2012). Sistema natsionalnykh schetov 2008 [System of national accounts 2008]. Evropeyskaya komissiya, OON, MVF, OESR, VB [European Commission, UN, IMF, OECD, WB]. New York, 764. (In Russ.)
Tsybatov, V. A. (2015). Modeli i metody strategirovaniya regionalnogo razvitiya [Strategic models and methods for regional development]. Vestnik Samarskogo gosudarstvennogo ekonomicheskogo universiteta [Bulletin of Samara State Economic University], 3(125), 49–66. (In Russ.)
Tsybatov, V. A. (2017). Problemy resursoobosnovannogo tselepolaganiya v zadachakh strategicheskogo planirovaniya regionalnogo razvitiya [Problems of goal-setting based on the resources in the tasks of strategic planning of regional development]. Regionalnaya ekonomika. Yug Rossii [Regional economy. The South of Russia], 1(15), 67–76. (In Russ.)
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