scholarly journals APPLICATION OF AN INTEGRATED MODEL TO A CONSTRUCTION AND BUILDING INDUSTRY FOR ENERGY- SAVING ASSESSMENT

2021 ◽  
Vol 32 (2) ◽  
Author(s):  
Oludolapo Akanni Olanrewaju
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Energy Consumption ◽  
Energy Saving ◽  
Construction Industry ◽  
Decomposition Analysis ◽  
Integrated Model ◽  
Data Envelopment ◽  
Index Decomposition Analysis ◽  
Index Decomposition

The activities of the building and construction industry have made it one of the highest energy consumers and thus one of the highest emitters of greenhouse gases. The main objective of this study was to develop a system to determine energy saving in the industry. This was achieved through an integrated model of index decomposition analysis, an artificial neural network, and data envelopment analysis. Index decomposition analysis is used to understand the contribution of the factors responsible for energy consumption. These factors are inputs to the artificial neural network to predict the baseline energy consumption. The energy saving is finally determined through data envelopment analysis. The results showed that the integrated model presents a reasonable amount of energy saving in the building and construction industry.

scholarly journals Impact of Nigeria's industrial sector on level of inefficiency for energy consumption: Fisher Ideal index decomposition analysis

Heliyon ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. e06952
Author(s):  
Abdulrasheed Zakari ◽  
Jurij Toplak ◽  
Missaoui Ibtissem ◽  
Vishal Dagar ◽  
Muhammad Kamran Khan
Keyword(s):  
Energy Consumption ◽  
Decomposition Analysis ◽  
Industrial Sector ◽  
Index Decomposition Analysis ◽  
Index Decomposition ◽  
Fisher Ideal Index

scholarly journals Analysing South Africa’s automotive energy consumption : application of index decomposition analysis

2021 ◽  
Author(s):  
◽  
Rofhiwa Tevin Machivha
Keyword(s):  
Energy Consumption ◽  
Decomposition Analysis ◽  
Structural Effect ◽  
Intensity Effect ◽  
Sectoral Shifts ◽  
Activity Effect ◽  
Index Decomposition Analysis ◽  
Index Decomposition ◽  
Industrial Energy ◽  
The Impact

This research focuses on applying the Index Decomposition Analysis (IDA) to South Africa’s automotive industry to decompose energy consumption and further make use of regression analysis to understand how it relates to the economy. South Africa has been going through an energy crisis, which has resulted in ongoing load shedding as a way to manage this crisis. Looking at South Africa’s energy generation, it can be noted that the entire country depends on Eskom as the main supplier and of electricity, but it is unable to keep pace with the demand. The results of the research show that there exists a nexus across all segments between energy consumption and GDP; furthermore, the decomposition results show that energy consumption in some years experienced a reduction. However, it can be seen that an increase in energy consumption year on year is predominant; this then suggests that the reductions experienced were the result of a special event; hence, it can be deduced that overall energy consumption has increased slightly. The increase is as a result of the activity effect which contributed the most towards this whilst the structural effect yielded a negligible contribution. Lastly, the intensity effect contributed to the reduction in energy consumption as a result of sectoral shifts; this reduction contributed towards keeping the overall increase in energy consumption low. This study aimed to outline the differences in energy consumed during the production of different vehicle classes, citing various factors responsible for the changes in energy consumption during vehicle production, raising awareness with manufacturers on the impact industrial energy consumption has on the national energy grid and on advising medium to large manufacturers to become suppliers.

Sign in / Sign up

Export Citation Format

Share Document