Forecasting future energy demand: Electrical energy in Mexico as an example case

被引:13
|
作者
Morales-Acevedo, Arturo [1 ]
机构
[1] IPN, Ctr Invest & Estudios Avanzados, Dept Elect Engn, Mexico City 07360, DF, Mexico
来源
关键词
Energy; Demand; Forecasting;
D O I
10.1016/j.egypro.2014.10.286
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Knowledge of the future energy demand in the world, in a region, or even in a single country, is an important tool for planning and establishing an energy policy either by international agencies or by the respective government. This energy demand will have to be satisfied by an optimum mix of the available energy sources, taking into account the restrictions imposed by future economic and social changes towards a sustainable world. However, forecasting energy demand is a complex task because it is affected by many variables at the micro level. Therefore, a macro model with only a few variables that can be predicted in a global way is needed; i. e. without a detailed analysis for each of these variables. In this work, for predicting the energy demand, the global variables affecting it have been defined first. It has been established that social, economic and technological development aspects can be taken into account by means of three important variables: population growth rate, gross domestic product per capita and energy intensity. Based on the simple model presented here, energy demand can be forecasted in accordance with different scenarios for the variables' future evolution. As an example case, this model has been applied to estimating possible scenarios of the electrical energy demand in Mexico, for the next 40 years. At the end, based on these results, some recommendations are made for electrical energy planners and policy-makers. (c) 2014 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:782 / 790
页数:9
相关论文
共 50 条
  • [1] Energy Demand Forecasting for High Energy Consumers: A Case Study in Brazil
    dos Santos, Lauro Correa, Jr.
    Munoz Tabora, Jonathan
    Rocha, Cezar A. Figueredo
    Moura, Carminda C. de M. C.
    Soares, Thiago M.
    de Lima Tostes, Maria Emilia
    2024 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY, ISTAS 2024, 2024,
  • [2] ECONOMETRIC MODEL OF ENERGY SUPPLY AND DEMAND - CASE OF MEXICO
    DAGUM, C
    TRIMESTRE ECONOMICO, 1971, 38 (150): : 275 - 300
  • [3] The impact of future energy demand on renewable energy production - Case of Norway
    Rosenberg, Eva
    Lind, Arne
    Espegren, Kari Aamodt
    ENERGY, 2013, 61 : 419 - 431
  • [4] Forecasting the demand for energy in China
    Chan, HL
    Lee, SK
    ENERGY JOURNAL, 1996, 17 (01): : 19 - 30
  • [5] Modeling for energy demand forecasting
    Lecture Notes in Energy, 2013, 10 : 21 - 40
  • [6] A new combined method for future energy forecasting in electrical networks
    Baesmat, Kamran Hassanpouri
    Shiri, Abbas
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2019, 29 (03):
  • [7] Modeling and Forecasting Energy Demand
    El Kafazi, Ismail
    Bannari, Rachid
    Abouabdellah, Abdellah
    PROCEEDINGS OF 2016 INTERNATIONAL RENEWABLE & SUSTAINABLE ENERGY CONFERENCE (IRSEC' 16), 2016, : 746 - 750
  • [8] Forecasting the demand for energy in China
    Hong Kong Baptist Univ, Kowloon Tong, Hong Kong
    Energy J, 1 (19-30):
  • [9] FORECASTING SYSTEM ENERGY DEMAND
    GUNEL, I
    JOURNAL OF FORECASTING, 1987, 6 (02) : 137 - 156
  • [10] Forecasting the Demand for Electric Energy
    Gates, J. E.
    JOURNAL OF LAND AND PUBLIC UTILITY ECONOMICS, 1942, 18 (01): : 77 - 81