IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v34y2023i1d10.1134_s1075700723010136.html
   My bibliography  Save this article

Energy Consumption in Russia: Current State and Forecast

Author

Listed:
  • O. V. Mazurova

    (Melentiev Energy Systems Institute, Siberian Branch, Russian Academy of Sciences)

  • E. V. Gal’perova

    (Melentiev Energy Systems Institute, Siberian Branch, Russian Academy of Sciences)

Abstract

Study of development prospects of the country’s economy and energy requires long-term forecasting of energy demand. Such forecasting is particularly complex due to, among other things, uncertainty of economic and political conditions and technological development, as well as increasing ambiguity and variability of the relevant influencing factors and trends. The article provides an analysis of the current state, long-term trends, and new directions of energy use in large sectors of the Russian economy (industry, household, transport), including comparisons with other countries. The applied methodological approach to forecasting energy demand can be adjusted for promising structural and technological changes in industries, the spread of new technologies, and improved energy efficiency. Possible trajectories of changes in electricity and energy demand and in the energy intensity of Russia’s GDP in the period until 2050 are calculated for conservative and baseline economic development scenarios. It is shown that the dynamics of per capita electricity consumption in Russia correspond to global trends. Additionally, estimates of changes in energy consumption levels associated with the use of digital technologies in the household sector and with large-scale development of electric mobility are also given.

Suggested Citation

  • O. V. Mazurova & E. V. Gal’perova, 2023. "Energy Consumption in Russia: Current State and Forecast," Studies on Russian Economic Development, Springer, vol. 34(1), pages 105-114, February.
  • Handle: RePEc:spr:sorede:v:34:y:2023:i:1:d:10.1134_s1075700723010136
    DOI: 10.1134/S1075700723010136
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700723010136
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S1075700723010136?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Dmitriy Grushevenko & Ekaterina Grushevenko & Vyacheslav Kulagin, 2018. "Energy Consumption of the Russian Road Transportation Sector: Prospects for Inter-Fuel Competition in Terms of Technological Innovation," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(4), pages 35-44.
    2. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    3. Vincenzo Bianco, 2018. "The Future of the Italian Electricity Generation Sector. An Analysis of the Possible Strategic Models," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(3), pages 20-28.
    4. Bubeck, Steffen & Tomaschek, Jan & Fahl, Ulrich, 2016. "Perspectives of electric mobility: Total cost of ownership of electric vehicles in Germany," Transport Policy, Elsevier, vol. 50(C), pages 63-77.
    5. Sergey Filippov, 2018. "New Technological Revolution and Energy Requirements," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(4), pages 20-33.
    6. Muratori, Matteo & Moran, Michael J. & Serra, Emmanuele & Rizzoni, Giorgio, 2013. "Highly-resolved modeling of personal transportation energy consumption in the United States," Energy, Elsevier, vol. 58(C), pages 168-177.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vogl, Jonathan & Kleinebrahm, Max & Raab, Moritz & McKenna, Russell & Fichtner, Wolf, 2025. "A review of challenges and opportunities in occupant modeling for future residential energy demand," Working Paper Series in Production and Energy 76, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    2. Sahraei, Mohammad Ali & Duman, Hakan & Çodur, Muhammed Yasin & Eyduran, Ecevit, 2021. "Prediction of transportation energy demand: Multivariate Adaptive Regression Splines," Energy, Elsevier, vol. 224(C).
    3. Javid, Roxana J. & Nejat, Ali, 2017. "A comprehensive model of regional electric vehicle adoption and penetration," Transport Policy, Elsevier, vol. 54(C), pages 30-42.
    4. Damianakis, Nikolaos & Mouli, Gautham Ram Chandra & Bauer, Pavol & Yu, Yunhe, 2023. "Assessing the grid impact of Electric Vehicles, Heat Pumps & PV generation in Dutch LV distribution grids," Applied Energy, Elsevier, vol. 352(C).
    5. Antanasijević, Davor & Pocajt, Viktor & Ristić, Mirjana & Perić-Grujić, Aleksandra, 2015. "Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks," Energy, Elsevier, vol. 84(C), pages 816-824.
    6. Hu, Maomao & Xiao, Fu & Wang, Lingshi, 2017. "Investigation of demand response potentials of residential air conditioners in smart grids using grey-box room thermal model," Applied Energy, Elsevier, vol. 207(C), pages 324-335.
    7. Mustafa Hamurcu & Tamer Eren, 2023. "Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study," Environment Systems and Decisions, Springer, vol. 43(2), pages 211-231, June.
    8. Yilmaz, S. & Chambers, J. & Patel, M.K., 2019. "Comparison of clustering approaches for domestic electricity load profile characterisation - Implications for demand side management," Energy, Elsevier, vol. 180(C), pages 665-677.
    9. Bauer, Johannes & Letmathe, Peter & Woeste, Richard, 2025. "Total cost of ownership for battery electric vehicles: The role of energy prices," Applied Energy, Elsevier, vol. 389(C).
    10. Gitelman, Lazar & Kozhevnikov, Mikhail & Ditenberg, Maksim, 2024. "Electrification as a factor in replacing hydrocarbon fuel," Energy, Elsevier, vol. 307(C).
    11. Olaya, Yris & Vásquez, Felipe & Müller, Daniel B., 2017. "Dwelling stock dynamics for addressing housing deficit," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 187-199.
    12. Caputo, Paola & Costa, Gaia & Ferrari, Simone, 2013. "A supporting method for defining energy strategies in the building sector at urban scale," Energy Policy, Elsevier, vol. 55(C), pages 261-270.
    13. Dongjun Suh & Seongju Chang, 2012. "An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea," Energies, MDPI, vol. 5(11), pages 1-20, November.
    14. Elaheh Shobeiri & Huan Shen & Filippo Genco & Akira Tokuhiro, 2022. "Investigating Long-Term Commitments to Replace Electricity Generation with SMRs and Estimates of Climate Change Impact Costs Using a Modified VENSIM Dynamic Integrated Climate Economy (DICE) Model," Energies, MDPI, vol. 15(10), pages 1-17, May.
    15. Boßmann, T. & Staffell, I., 2015. "The shape of future electricity demand: Exploring load curves in 2050s Germany and Britain," Energy, Elsevier, vol. 90(P2), pages 1317-1333.
    16. John Curtis & Brian Stanley, 2016. "Analysing Residential Energy Demand: An Error Correction Demand System Approach for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(2), pages 185-211.
    17. Omar Shafqat & Elena Malakhatka & Nina Chrobot & Per Lundqvist, 2021. "End Use Energy Services Framework Co-Creation with Multiple Stakeholders—A Living Lab-Based Case Study," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    18. Wei Yu & Baizhan Li & Yarong Lei & Meng Liu, 2011. "Analysis of a Residential Building Energy Consumption Demand Model," Energies, MDPI, vol. 4(3), pages 1-13, March.
    19. Zhang, Yuyang & Ma, Wenke & Du, Pengcheng & Li, Shaoting & Gao, Ke & Wang, Yuxuan & Liu, Yifei & Zhang, Bo & Yu, Dingyi & Zhang, Jingyi & Li, Yan, 2024. "Powering the future: Unraveling residential building characteristics for accurate prediction of total electricity consumption during summer heat," Applied Energy, Elsevier, vol. 376(PA).
    20. Elaheh Shobeiri & Filippo Genco & Daniel Hoornweg & Akira Tokuhiro, 2023. "Small Modular Reactor Deployment and Obstacles to Be Overcome," Energies, MDPI, vol. 16(8), pages 1-19, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sorede:v:34:y:2023:i:1:d:10.1134_s1075700723010136. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.