scholarly journals Assessing Energy Consumption and Energy Intensity Changes in Pakistan: An Application of Complete Decomposition Model

2001 ◽  
Vol 40 (2) ◽  
pp. 135-147 ◽  
Author(s):  
Shaista Alam ◽  
Mohammad Sabihuddin Butt
Keyword(s):  
Energy Consumption ◽  
Energy Intensity ◽  
Estimation Error ◽  
Residual Term ◽  
Complete Decomposition ◽  
Decomposition Model ◽  
Intensity Changes

Complete decomposition model has been employed in the present study to decompose the changes in energy consumption and energy intensity in Pakistan during 1960 to 1998. A general decomposition model raises a problem due to residual term. In some models the residual term is omitted, which causes a large estimation error, while in some models the residual term is regarded as an interaction that might create a puzzle for the analysis. A complete decomposition model is used here to solve this problem.

scholarly journals A futuristic view of energy saving and related energy rebound effect in Bangladesh using complete decomposition model (CDM)

2012 ◽  
Vol 47 (3) ◽  
pp. 313-320
Author(s):  
S Khosruzzaman ◽  
MA Asgar ◽  
MA Asgar ◽  
KMR Rahman ◽  
S Akbar
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Service Sector ◽  
Rebound Effect ◽  
Structural Effect ◽  
Total Energy Consumption ◽  
Intensity Effect ◽  
Complete Decomposition ◽  
Decomposition Model ◽  
Activity Effect

In this paper Complete Decomposition Model is used to compute the future energy saving pattern from the difference of the 'trend' and 'real' values of energy consumption. The 'trend' is defined as a sum of activity effect and the energy use in the base year. The 'real' is defined as a sum of energy consumption in the base year and the change in energy consumption due to the activity effect, structural effect and intensity effect. This analysis is carried out in respect of Bangladesh for the period 2008-2030. The economic sectors that are taken in to account are agriculture, industry and service. The futuristic view shows that Bangladesh can save about 47.47 MTOE in agriculture sector and 34.96 MTOE from service sector. On the other hand, industry sector, which is accounted for 58% of the total energy consumption, failed to save energy, rather the country consumed 227 MTOE more energy than usual. The energy rebound effect that relies upon the activity effect and structural effect has also been estimated to examine the energy uses pattern of these sectors. The aggregate energy rebound effect was found to be 1480 MTOE, of which activity effect and structural effect contribute 91.21% and 8.78% respectively. DOI: http://dx.doi.org/10.3329/bjsir.v47i3.13066 Bangladesh J. Sci. Ind. Res. 47(3), 313-320 2012

Analysis on the Effect Factors of the Passenger Transportation Energy Consumption Intensity

2013 ◽  
Vol 421 ◽  
pp. 910-916
Author(s):  
Xu Wu ◽  
Shuang Lang ◽  
Xiao Qing Guo
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Intensity ◽  
Effect Factors ◽  
Transportation Energy ◽  
Complete Decomposition ◽  
Energy Saving Potential ◽  
Passenger Transportation ◽  
Consumption Intensity

This article proposes using passenger transportation energy intensity to measure the energy utility efficiency and energy-saving potential of the passenger transportation, uses the complete decomposition model to decompose the passenger transportation energy intensity from 1990 to 2007, and then investigate how various factors impact passenger transportation energy intensity. As is shown in the results, transportation structure increases passenger transportation energy intensity, while energy efficiency decreases it, however the decline is limited. Thus energy saving caused by adjustment of transportation structure is much more considerable.

Decomposition of Energy-Related CO2 Emission over 2001 and 2011 in Manufacturing Industry of China

2013 ◽  
Vol 807-809 ◽  
pp. 927-935 ◽  
Author(s):  
Lin Chang ◽  
Hai Lin Mu ◽  
Hua Nan Li
Keyword(s):  
Energy Consumption ◽  
Decomposition Method ◽  
Manufacturing Industry ◽  
Energy Intensity ◽  
Negative Impact ◽  
Decomposition Analysis ◽  
Structure Change ◽  
Complete Decomposition ◽  
Manufacture Industry ◽  
Positive Effect

Manufacturing industry is developing fast in China, leading to a large amount of energy consumption and CO2 emission. This paper presents a decomposition analysis of energy-related CO2 emission in manufacturing industry in China for the period of 2001-2011. The complete decomposition method developed by Sun is used to analyze the effect of four factors: CO2 intensity, energy intensity, structure change and economy development. The results show that economy development has the largest positive effect and energy intensity has the most negative impact on CO2 emission of Chinas manufacture industry. While the structure change of manufacturing industrial decreases its CO2 emission to a certain extent and the CO2 intensity increases its CO2 emission slightly, but both of them have large potentials in CO2 reduction.

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