Prospects for Energy Demand Management in Russian Regions
DOI:
https://doi.org/10.17059/ekon.reg.2021-2-11Keywords:
demand management, energy efficiency, regional energy, regional electricity consumption, regional gas consumption, electricity demand density, gas demand density, integrated demand management, regional demand volatility map, prospects for introducing integrated demand management, ranking of Russian regionsAbstract
In order to improve the energy efficiency in industrialised countries, energy demand management technologies are being introduced. In Russia, energy consumption is characterised by high natural gas usage. A decrease in demand volatility leads to the reduction of energy costs for industrial consumers. These factors indicate the feasibility of electricity and natural gas demand management. Simultaneously, Russian regions significantly differ in terms of the prospects for introducing integrated demand management. To examine the problem, we used statistical analysis, mathematical modelling and a method for constructing perceptual maps. Parameters of electricity and natural gas demand management in Russian regions were examined. As a result, we developed a methodology to assess the possibility of implementing energy demand management in various entities. This method is based on a system of indicators considering absolute and relative density of regions' electricity and natural gas demand, industrial energy consumption, and natural gas used to generate electricity. The analysis of the relevant indicators allowed us to construct energy demand volatility maps and a matrix indicating the effectiveness of proposed management tools. The research findings can be used when developing targeted programmes for energy demand management at the regional and federal levels.References
Gitelman, L. D., Ratnikov, B. E., Kozhevnikov, M. V. & SHevelev, Yu. P. (2013). Upravlenie sprosom na energiyu. Unikalnaya innovatsiya dlya rossiyskoy elektroenergetiki [Energy demand management. Unique innovation for the Russian electric power industry]. Ekaterinburg: Economy, 120. (In Russ.)
Feng, J., Zeng, B., Zhao, D., Wu, G., Liu, Z. & Zhang, J. (2018). Evaluating Demand Response Impacts on Capacity Credit of Renewable Distributed Generation in Smart Distribution Systems. IEEE Access, 6, 14307–14317. DOI: 10.1109/ACCESS.2017.2745198.
Pilz, M. A. & Al-Fagih, L. (2018). Dynamic Game Approach for Demand-Side Management: Scheduling Energy Storage with Forecasting Errors. Dynamic Games and Applications, 2, 1–32. DOI: 10/1007/s13235–019–00309-z.
Müller, T. & Möst, D. (2018). Demand Response Potential: Available when Needed? Energy Policy, 115, 181–198. DOI: 10.1016/j.enpol.2017.12.025.
Torriti, J., Hassan, M. G. & Leach, M. (2010). Demand response experience in Europe: Policies, programmes and implementation. Energy, 35(4), 1575–1583. DOI: 10.1016/j.energy.2009.05.021.
Nekhoroshih, I. N. (2019). Innovative mechanisms of control demand for electric power: a review of international experience and assessment of the prospects of its application in Russia. Izvestiya Yugo-Zapadnogo gosudarstvennogo universiteta. Seriya Ekonomika. Sotsiologiya. Menedzhment [Proceedings of South-West State University. Series Economy. Sociology. Management], 2, 17–25. (In Russ.)
Haley, B., Gaede, j., Winfield, M. & Love, P. (2020). From utility demand side management to low-carbon transitions: Opportunities and challenges for energy efficiency governance in a new era. Energy Research & Social Science, 59, 95–107. DOI: 10.1016/j.erss.2019.101312.
Nekhoroshikh, I. N., Dobrinova, T. V., Anisimov, A. Yu. & Zhaglovskaya, A. V. (2019). World practice of managing electricity demand. Ekonomika v promyshlennosti [Russian Journal of Industrial Economics], 12(3), 280–287. (In Russ.) (In Russ.)
Dziuba, A. P. (2019). Integrated Demand Management for Energy Resources at Industrial Enterprises and in the Region. Vestnik YuUrGU. Seriya «Ekonomika i menedzhment» [Bulletin of the South Ural State University. Series Economics and Management], 13(3), 33–45. DOI: 10.14529/em190304. (In Russ.)
Dzyuba, A. P. & Solovyeva, I. A. (2018). A Model for Comprehensive Price-Dependent Management of Industrial Enterprises’ Demand for Electricity and Gas. Izvestiya Uralskogo gosudarstvennogo ekonomicheskogo universiteta [Journal of the Ural State University of Economics], 1, 79–93. (In Russ.)
Solovieva, I. A. & Dzyuba, A. P. (2017). Cost control of electricity consumption in terms of volatility of demand. Vestnik Kazanskogo gosudarstvennogo energeticheskogo universiteta [Kazan state power engineering university bulletin], 1(33), 36–43. (In Russ.)
Vorontsov, D. A. (2018). The concept of Demand response in electricity markets. Innovatsionnaya ekonomika [Innovative economy], 4, 47–52. (In Russ.)
Emelyashina, Yu. V. (2007). Development of system studies of gas demand forecasting issues. Neft, gaz i biznes, 11, 28–31. (In Russ.)
Afanasyev, V. V., Kovalev, V. G. & Tarasov, V. A. (2019). Energy technology complexes as regulators of electrical power systems. Izvestiya vysshikh uchebnykh zavedeniy. Problemy energetiki [Power engineering: research, equipment, technology], 5, 50–58. (In Russ.)
Beenstock, M. & Dalziel, A. (1986). The demand for energy in the UK: A general equilibrium analysis. Energy Economics, 8(2), 90–98. DOI: 10.1016/0140–9883(86)90033–2.
Clark, A. (2000). Demand-side management investment in South Africa: barriers and possible solutions for new power sector contexts. Energy for Sustainable Development, 4(4), 27–35.
Gellings, C. W. (1981). IEEE PES Load Management Working. IEEE Power Engineering Review. Load Management Working Group of the System Planning Subcommittee of the Power Engineering Committee, 8, 7–8.
Chao, H. (2010). Price-Responsive Demand Management for a Smart Grid World. The Electricity Journal, 23(1), 7–20. DOI: 10.1016/j.tej.2009.12.007.
Vos, A. (2009). Effective business models for demand response under the Smart Grid paradigm. 2009 IEEE/PES Power Systems Conference and Exposition, 2, 1–3. DOI: 10.1109/PSCE.2009.4840261.
Dzyuba, A. P. (2020). The role of demand for energy consumption programs in Russia in compliance with the requirements of the Paris agreement. Korporativnaya ekonomika [Corporate economy], 1, 11–20. (In Russ.)
Kukel-Kraevskiy, S. A. (1935). Technical and economic bases of planning of consumers-load regulators. Izvestiya energeticheskogo instituta im. G. M. Krzhizhanovskogo, 1(III), 101–117. (In Russ.)
Elkind, M. L. (1935). Potrebiteli-regulyatory elektricheskoy nagruzki v energosisteme [Consumers-regulators of electrical load in the power system]. Moscow: ONTI NKTP, 107. (In Russ.)
Gordeev, V. I., Vasilev, I. E. & Shchutskiy, V. I. (1991). Upravlenie elektropotrebleniem i ego prognozirovanie [Energy management and forecasting]. Rostov-on-Don: Izd-vo Rostovskogo universiteta, 101. (In Russ.)
Kononov, D. Yu. (1998). Analiz zarubezhnogo opyta upravleniya sprosom na elektroenergiyu [Analysis of foreign experience in electricity demand management]. Irkutsk: ESI SB RAS, 49. (In Russ.)
Khanaev, V. V. (2009). The Role of Electricity Demand Management in Prospective Electricity Load Coverage with a Deficit of Generating Capacities. Energorynok [Energy market], 26–29. (In Russ.)
Voropai, N. I., Styczynski, Z. A., Kozlova, E. V., Stepanov, V. S. & Suslov, K. V. (2014). Daily load curve optimization for active consumers. Izvestiya Rossiyskoy akademii nauk. Energetika, 1, 84–90. (In Russ.)
Volkova, I. O., Shuvalova, D. G. & Salnikova, E. A. (2011). Active consumer in smart energy. Akademiya energetiki [Energoacademy], 2(40), 50–57. (In Russ.)
Voropai, N. I., Styczynski, Z. A., Kozlova, E. V., Stepanov, V. S. & Suslov, K. V. (2014). Daily load curve optimization for active consumers. Izvestiya Rossiyskoy akademii nauk. Energetika, 1, 84–90. (In Russ.)
Tatarkin, A. I. & Kuklin, A. A. (1997). Povyshenie effektivnosti energeticheskoy i ekonomicheskoy bezopasnosti regiona na osnove upravleniya rezhimami elektropotrebleniya. Ch. 1. Metodicheskie osnovy analiza i prognozirovaniya tseny proizvodstva elektroenergii v regionalnykh elektroenergeticheskikh sistemakh s uchetom rezhimnykh faktorov [Increase in efficiency of energy and economic security of the region on the basis of management of the power consumption modes. Pt.1 Methodical bases of the analysis and price forecasting for electricity generation in regional electrical power systems taking into account regime factors]. Ekaterinburg: UB RAS, 37. (In Russ.)
Kuklin, A. A., Myzin, A. L., Pyhov, P. A. & Potanin, M. M. (2013). Diagnostics and mechanisms of energy increase security in Russia. Vestnik Zabaykalskogo gosudarstvennogo universiteta [Transbaikal State University journal], 10, 134–149. (In Russ.)
Chichkanov, V. P. & Kuklin, A. A. (2017). Formirovanie karkasa ekonomicheskoy bezopasnosti v aspekte obespecheniya ustoychivogo razvitiya regiona [Developing the framework of economic security for the sustainable development of a region]. Ekaterinburg: IE UB RAS Publ., 432. DOI: 10.17059/5922 (In Russ.)
Solovyova, I. A. & Dzyuba, A. P. (2017). Electricity demand management at the meso-level by volatility parameters. Vestnik Ivanovskogo gosudarstvennogo energeticheskogo universiteta [Vestnik of Ivanovo State Power Engineering University], 1, 76–86. (In Russ.)
Dzyuba, A. (2020). Demand-side management in territorial entities based on their volatility trends. International journal of energy economics and policy, 10, 302–315. DOI: 10.32479/ijeep.8682.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Anatolyy P. Dzyubaa, Irina A. Solovyeva
This work is licensed under a Creative Commons Attribution 4.0 International License.
