scholarly journals Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region

2018 ◽  
Vol 10 (2) ◽  
pp. 111 ◽  
Author(s):  
Jinchao Li ◽  
Yuwei Xiang ◽  
Huanyu Jia ◽  
Lin Chen
2012 ◽  
Vol 621 ◽  
pp. 352-355
Author(s):  
Zhong Fu Tan ◽  
Shu Xiang Wang ◽  
Chen Zhang ◽  
Li Qiong Lin ◽  
Yin Hui Zhao

This paper analyses multi influencing factors of energy demand, using energy demand forecast regression model reveals inner relations between each factor and energy demand. Establish simulation model of the relation between GDP, energy intense and energy demand. Under the change in population, urbanization and energy efficiency, this paper gives analysis model of energy demand change.


2020 ◽  
Vol 220 ◽  
pp. 01024
Author(s):  
Deniz Moroz ◽  
Nadzeya Hruntovich ◽  
Aliaksei Kapanski ◽  
Yauhen Shenets ◽  
Mikhail Malashanka ◽  
...  

A complex of tasks that can be solved using mathematical models of the dependence of consumed energy resources on influencing factors are considered in the article. The main type of model for industrial consumers with a simple relationship between energy and technology, is the one-factor model “consumed energy resource-volume of output”. For industrial consumers with a complex relationship between energy and technology, the mathematical model of the dependence of energy resources on technology is determined by several factors. Methods for assessing the current state of energy efficiency, as well as predicting it for the future in the context of the introduction of energy saving measures and changes in the production program were proposed.


2019 ◽  
Vol 43 (11) ◽  
pp. 5659-5677 ◽  
Author(s):  
Hongming Na ◽  
Tao Du ◽  
Wenqiang Sun ◽  
Jianfei He ◽  
Jingchao Sun ◽  
...  

Energy ◽  
2014 ◽  
Vol 64 ◽  
pp. 1026-1034 ◽  
Author(s):  
Qiang Cui ◽  
Hai-bo Kuang ◽  
Chun-you Wu ◽  
Ye Li

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4700
Author(s):  
Andrius Zuoza ◽  
Vaida Pilinkienė

Climate change and efforts to mitigate it have given rise to an interest in the relationship between industry competitiveness, energy efficiency, and carbon emissions. A better understanding of this relationship can be essential for economic and environmental decision-makers. This paper presents empirical research evaluating industry competitiveness through the factors of energy efficiency and carbon emission in Europe’s most energy-intensive industries. The designed industry competitiveness measure index consists of seven components, grouped into three equally weighted sub-indexes: export performance, energy, and environmental. The export performance of the industry is described by the industry export growth rate, the share of the industry’s export, and the effects on the industry’s competitiveness of changes in a country’s export. The energy intensity of the industry and energy prices are integrated into the energy sub-index. The environmental sub-index consists of the industry’s emissions intensity, and the ratio of freely allocated allowances and verified emissions indicators. The findings indicate that countries with the highest index value also have a positive energy intensity and carbon emission indicator value. The average index value of each industry gradually reduces to zero, and the standard deviation of the index value shows a diminishing trend throughout all sectors, which implies that competitiveness in all sectors is increasing and that all countries are nearing the industry average. The ANOVA results show that: (1) the competitiveness index value was statistically significantly different in the investigated countries; (2) the competitiveness index value was statistically non-significantly different in the investigated industries; (3) there was a significant effect of the interaction between country and industry on the competitiveness index value. These results suggest that the country itself and industry/country interaction significantly affect the competitiveness index. However, it should be mentioned that industry per se does not substantially affect the competitiveness index score.


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