skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Energy demand projections based on an uncertain dynamic system modeling approach

Abstract

Today, China has become the world's second largest pollution source of CO{sub 2}. Owing to coal-based energy consumption, it is estimated that 85--90% of the SO{sub 2} and CO{sub 2} emission of China results from coal use. With high economic growth and increasing environmental concerns, China's energy consumption in the next few decades has become an issue of active concern. Forecasting of energy demand over long periods, however, is getting more complex and uncertain. It is believed that the economic and energy systems are chaotic and nonlinear. Traditional linear system modeling, used mostly in energy demand forecasts, therefore, is not a useful approach. In view of uncertainty and imperfect information about future economic growth and energy development, an uncertain dynamic system model, which has the ability to incorporate and absorb the nature of an uncertain system with imperfect or incomplete information, is developed. Using the model, the forecasting of energy demand in the next 25 years is provided. The model predicts that China's energy demand in 2020 will be about 2,700--3,000 Mtce, coal demand 3,500 Mt, increasing by 128% and 154%, respectively, compared with that of 1995.

Authors:
Publication Date:
Research Org.:
Hai Dian, Beijing (CN)
OSTI Identifier:
20076055
Resource Type:
Journal Article
Journal Name:
Energy Sources
Additional Journal Information:
Journal Volume: 22; Journal Issue: 5; Other Information: PBD: Jun 2000; Journal ID: ISSN 0090-8312
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; 29 ENERGY PLANNING, POLICY AND ECONOMY; CHINA; ENERGY DEMAND; FORECASTING; COAL; ENERGY CONSUMPTION; CARBON DIOXIDE; SULFUR DIOXIDE; AIR POLLUTION; ECONOMIC DEVELOPMENT; MATHEMATICAL MODELS

Citation Formats

Dong, S. Energy demand projections based on an uncertain dynamic system modeling approach. United States: N. p., 2000. Web. doi:10.1080/00908310050013857.
Dong, S. Energy demand projections based on an uncertain dynamic system modeling approach. United States. doi:10.1080/00908310050013857.
Dong, S. Thu . "Energy demand projections based on an uncertain dynamic system modeling approach". United States. doi:10.1080/00908310050013857.
@article{osti_20076055,
title = {Energy demand projections based on an uncertain dynamic system modeling approach},
author = {Dong, S.},
abstractNote = {Today, China has become the world's second largest pollution source of CO{sub 2}. Owing to coal-based energy consumption, it is estimated that 85--90% of the SO{sub 2} and CO{sub 2} emission of China results from coal use. With high economic growth and increasing environmental concerns, China's energy consumption in the next few decades has become an issue of active concern. Forecasting of energy demand over long periods, however, is getting more complex and uncertain. It is believed that the economic and energy systems are chaotic and nonlinear. Traditional linear system modeling, used mostly in energy demand forecasts, therefore, is not a useful approach. In view of uncertainty and imperfect information about future economic growth and energy development, an uncertain dynamic system model, which has the ability to incorporate and absorb the nature of an uncertain system with imperfect or incomplete information, is developed. Using the model, the forecasting of energy demand in the next 25 years is provided. The model predicts that China's energy demand in 2020 will be about 2,700--3,000 Mtce, coal demand 3,500 Mt, increasing by 128% and 154%, respectively, compared with that of 1995.},
doi = {10.1080/00908310050013857},
journal = {Energy Sources},
issn = {0090-8312},
number = 5,
volume = 22,
place = {United States},
year = {2000},
month = {6}
}