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 search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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).
    2. 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).
    3. Omar Shafqat & Elena Malakhtka & 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.
    4. Anna Kipping & Erik Trømborg, 2017. "Modeling Aggregate Hourly Energy Consumption in a Regional Building Stock," Energies, MDPI, vol. 11(1), pages 1-20, December.
    5. Solène Goy & François Maréchal & Donal Finn, 2020. "Data for Urban Scale Building Energy Modelling: Assessing Impacts and Overcoming Availability Challenges," Energies, MDPI, vol. 13(16), pages 1-23, August.
    6. Estiri, Hossein, 2014. "Building and household X-factors and energy consumption at the residential sector," Energy Economics, Elsevier, vol. 43(C), pages 178-184.
    7. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    8. Ijaz Ul Haq & Amin Ullah & Samee Ullah Khan & Noman Khan & Mi Young Lee & Seungmin Rho & Sung Wook Baik, 2021. "Sequential Learning-Based Energy Consumption Prediction Model for Residential and Commercial Sectors," Mathematics, MDPI, vol. 9(6), pages 1-17, March.
    9. Kamile Petrauskiene & Jolanta Dvarioniene & Giedrius Kaveckis & Daina Kliaugaite & Julie Chenadec & Leonie Hehn & Berta Pérez & Claudio Bordi & Giorgio Scavino & Andrea Vignoli & Michael Erman, 2020. "Situation Analysis of Policies for Electric Mobility Development: Experience from Five European Regions," Sustainability, MDPI, vol. 12(7), pages 1-21, April.
    10. Dujuan Yang & Harry Timmermans & Aloys Borgers, 2016. "The prevalence of context-dependent adjustment of activity-travel patterns in energy conservation strategies: results from a mixture-amount stated adaptation experiment," Transportation, Springer, vol. 43(1), pages 79-100, January.
    11. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    12. Filippín, Celina & Ricard, Florencia & Flores Larsen, Silvana & Santamouris, Mattheos, 2017. "Retrospective analysis of the energy consumption of single-family dwellings in central Argentina. Retrofitting and adaptation to the climate change," Renewable Energy, Elsevier, vol. 101(C), pages 1226-1241.
    13. Dieckhoener, Caroline & Hecking, Harald, 2012. "Greenhouse Gas Abatement Cost Curves of the Residential Heating Market – a Microeconomic Approach," EWI Working Papers 2012-16, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    14. Rafael de Arce & Ramón Mahía, 2019. "Drivers of Electricity Poverty in Spanish Dwellings: A Quantile Regression Approach," Energies, MDPI, vol. 12(11), pages 1-18, May.
    15. Ana Escoto Castillo & Landy Sánchez Peña, 2017. "Diffusion of Electricity Consumption Practices in Mexico," Social Sciences, MDPI, vol. 6(4), pages 1-24, November.
    16. Mastrucci, Alessio & Marvuglia, Antonino & Leopold, Ulrich & Benetto, Enrico, 2017. "Life Cycle Assessment of building stocks from urban to transnational scales: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 316-332.
    17. Kaandorp, Chelsea & Miedema, Tes & Verhagen, Jeroen & van de Giesen, Nick & Abraham, Edo, 2022. "Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation," Applied Energy, Elsevier, vol. 325(C).
    18. Cox, Brian & Bauer, Christian & Mendoza Beltran, Angelica & van Vuuren, Detlef P. & Mutel, Christopher L., 2020. "Life cycle environmental and cost comparison of current and future passenger cars under different energy scenarios," Applied Energy, Elsevier, vol. 269(C).
    19. Ahmet Feyzioglu, 2023. "A Study on the Control System of Electric Water Heaters for Decarbonization," Energies, MDPI, vol. 16(5), pages 1-12, March.
    20. Wang, Lan & Lee, Eric W.M. & Hussian, Syed Asad & Yuen, Anthony Chun Yin & Feng, Wei, 2021. "Quantitative impact analysis of driving factors on annual residential building energy end-use combining machine learning and stochastic methods," Applied Energy, Elsevier, vol. 299(C).

    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.