Analysis of energy intensity trend as a tool for long-term forecasting of energy consumption

被引:0
|
作者
Leontiy Eder
Irina Provornaya
机构
[1] Novosibirsk State University,Institute of petroleum Geology and Geophysics of the Siberian branch of the Russian Academy of Sciences
[2] Economics Department,Institute of Petroleum Geology and Geophysics of the Siberian branch of the Russian Academy of Sciences
[3] Novosibirsk State University,undefined
来源
Energy Efficiency | 2018年 / 11卷
关键词
Energy intensity; Forecasting; Macro-regions; Convergence; Industrially developed countries; Developing countries;
D O I
暂无
中图分类号
学科分类号
摘要
The paper presents retrospective developments of energy intensity of the world economy differentiated by regions and their levels of economic development. The analysis has revealed the persistent decreasing trend in energy intensity across all the macro-regions and most countries, showing diversity of its course regarding both the starting point and rate of energy intensity reduction. Based on the time series, it has been shown that energy intensity of an economy is best described by an exponential trend, indicating a fairly uniform decline in energy efficiency in the economies. A power index of the exponential equation is one of the critical parameters characterizing reduction rate of energy intensity—the index of energy intensity reduction (IEIR). The authors have proposed an approach to measuring beta-convergence in time series of energy intensity, substantiating thereby convergence of economies. A comprehensive analysis of the time series and trend model served as a basis for prediction of variation in energy intensity of economies of the macro-regions for the period until 2040, which also included its quality and rationale verification. It has been shown that the trend method can be successfully applied to forecasting energy intensity developments to economically developed regions, whereas for developing countries such a forecast is less reliable. In these conditions, a comprehensive use of the trend model and the convergence model is necessary. The forecast of changes in energy intensity of the world economies grouped into macro-regions until 2040 has shown that the economically developed countries of Europe will remain to be the energy efficiency leaders until the mid-twenty-first century. The energy intensity indicators for less developed regions will gradually converge in their domain; yet, they are not expected to reach the level of the economically developed countries by 2040.
引用
收藏
页码:1971 / 1997
页数:26
相关论文
共 50 条
  • [21] Long-Term Prediction of Weather for Analysis of Residential Building Energy Consumption in Australia
    Chen, Shu
    Ren, Zhengen
    Tang, Zhi
    Zhuo, Xianrong
    ENERGIES, 2021, 14 (16)
  • [22] Forecasting long-term energy demand and reductions in GHG emissions
    Golfam, Parvin
    Ashofteh, Parisa-Sadat
    Loaiciga, Hugo A.
    ENERGY EFFICIENCY, 2024, 17 (03)
  • [24] Forecasting long-term energy demand of Croatian transport sector
    Puksec, Tomislav
    Krajacic, Goran
    Lulic, Zoran
    Mathiesen, Brian Vad
    Duic, Neven
    ENERGY, 2013, 57 : 169 - 176
  • [25] Forecasting long-term energy demand and reductions in GHG emissions
    Parvin Golfam
    Parisa-Sadat Ashofteh
    Hugo A. Loáiciga
    Energy Efficiency, 2024, 17
  • [26] LONG-TERM FORECASTING OF ENERGY DEMAND IN THE DEVELOPING-COUNTRIES
    FINON, D
    LAPILLONNE, B
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1983, 13 (01) : 12 - 28
  • [27] Long-term Stochastic Forecasting of the Nuclear Energy Global Market
    Kharitonov, Vladimir
    Kurelchuk, Uliana
    Masterov, Sergey
    FORESIGHT AND STI GOVERNANCE, 2015, 9 (02) : 58 - 71
  • [28] Rational aggregation of territory in long-term forecasting of energy prices
    Kononov D.Y.
    Kononov Y.D.
    Studies on Russian Economic Development, 2016, 27 (6) : 649 - 655
  • [29] A granular time series approach to long-term forecasting and trend forecasting
    Dong, Ruijun
    Pedrycz, Witold
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (13) : 3253 - 3270
  • [30] Trend analysis and forecasting of energy humanization in Ghana
    Asafo, Joseph Kwasi
    Iledare, Omowumi
    Bondzie, Eric Amoo
    Suleman, Shafic
    HELIYON, 2024, 10 (17)