Analysis of Hubei Province Industry’s Carbon Emissions Based on the LMDI

2014 ◽  
Vol 675-677 ◽  
pp. 1865-1868 ◽  
Author(s):  
Han Li ◽  
Lin Wu
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Hubei Province ◽  
Hunan Province ◽  
Carbon Intensity ◽  
Logarithmic Mean ◽  
Coal Consumption ◽  
Industrial Carbon ◽  
Industrial Energy ◽  
Industrial Energy Consumption

LMDI (Logarithmic Mean Divisia Index) was used to estimates the carbon emission of industrial energy consumption in Hunan Province with collected data on industrial energy consumption in 2000-2012. The results showed that carbon emissions of industrial energy consumption present the overall upward trend in Hubei Province, where the carbon emissions of coal consumption are the main factors, this shows that the industry of Hubei is extensive development withhigh energy consumption. In addition, industrial carbon intensity has a fluctuated downward trend in 2011-2012; this shows that Hubei province has made ​​a positive change on control carbon emissions of energy consumption.

Analysis of Hunan Province Industry’s Carbon Emission Based on the Energy Consumption Structure

2014 ◽  
Vol 641-642 ◽  
pp. 1078-1081
Author(s):  
Lin Wu ◽  
Han Li
Keyword(s):  
Energy Consumption ◽  
Carbon Emission ◽  
High Energy ◽  
Hunan Province ◽  
Carbon Intensity ◽  
Energy Structure ◽  
Coal Consumption ◽  
Consumption Structure ◽  
Industrial Energy ◽  
Industrial Energy Consumption

Energy consumption carbon emission factor method was used to analyze the carbon emission evolution of industrial energy consumption in Hunan Province with collected data on industrial energy consumption in 2000-2012. Results had shown that Hunan province industry’s carbon emission keep increasing in 2000-2012. There is a highly correlation between the total coal consumption and carbon emission of industrial energy carbon emission. Industrial energy consumption structure plays a decisive role in carbon emission. Industrial economic growth at the expense of high energy consumption in 2000-2005 has changed. Industrial carbon intensity has a fluctuated downward trend from 2005 to 2012. From the perspective of carbon emission per industrial output and industrial energy consumption structure, there is a large potential for carbon emission control in Hunan industrial energy consumption. Therefore, the main way to control carbon emission of industrial energy consumption in Hunan Province is to optimize the energy structure, reasonable adjustment of industry structure, improve energy technical level, proper control the growth of energy consumption.

Industrial Carbon Emissions Accounting from Energy and Non-Energy Consumption and Input-Output Model Construction for Trans-Sector Carbon Emissions Shift Assessment, China

2013 ◽  
Vol 703 ◽  
pp. 328-331
Author(s):  
Shun Shun Yang ◽  
Huan Zhi Wang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Industrial Process ◽  
Input Output ◽  
Output Analysis ◽  
Industrial Carbon ◽  
Industrial Energy ◽  
Carbon Emissions Accounting ◽  
Improved Model ◽  
Industrial Energy Consumption

This paper describes an industrial energy combustion use and industrial process emissions accounting method. By utilizing three set of widely used energy combustion carbon emission factors, Chinas industrial energy consumption carbon emissions are calculated. By using the methods provided by the IPCC, the industrial process carbon emissions for extractive industries, chemical industries and metal industries are calculated. The results show that in 2010 China's industrial energy consumption carbon emissions reached approximately 6.91×108 t C (2.53×109 t CO2), 85% from coal burning. The industrial process emitted approximately 9.47×108 t C (3.48×109 t CO2). About 5.55×108 t C (2.04×109 t CO2) is emitted by providing heat and power to industrial processes. In addition, this paper also proposed an improved model coupling industrial carbon emissions data and input-output analysis. It will help to quantify and evaluate the trans-sector carbon emissions shift.

Analysis of Energy Consumption Carbon Emissions in Hunan Province Based on Industrial Structure

2014 ◽  
Vol 694 ◽  
pp. 528-531
Author(s):  
Jin Gui Yue ◽  
Yuan Jun Yu ◽  
Lin Wu
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Hunan Province ◽  
Carbon Intensity ◽  
Construction Technology ◽  
Dominant Position ◽  
Industrial Carbon ◽  
Emissions Factor ◽  
Technology Control

Hunan province energy consumption carbon emissions based on the industrial structure was analyzed with carbon emissions factor method in 2000-2012. Results show that Hunan province’s carbon emissions have a rapid growth in 2000-2012. Since 2007 the growth of carbon intensity is slowly, and there is an emergence of signs of decline. Recently the correlation between the growth of GDP and carbon emissions in Hunan Province becomes weakening, but carbon intensity is still higher. Industry occupies a dominant position in the energy consumption carbon emissions. Since 2007 the proportion of industrial carbon emissions is decreased form 79.41% to 72.30% in 2012, there is an obvious decline. Recently, the growth rate of industrial carbon emissions is relative lower. The growth of carbon emissions from the construction industry and the tertiary industry is the most obvious. Relevant policies should be formulated as soon as possible, to promote the level of construction technology, control energy consumption and carbon emissions per unit of output.

Carbon Emissions Measurement of Jiangsu Province Industrial Energy Consumption Based on LMDI Method

2014 ◽  
Vol 1010-1012 ◽  
pp. 1932-1936
Author(s):  
Sun Xi Xiao ◽  
Lin Wu
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Scale Effects ◽  
Jiangsu Province ◽  
Intensity Effect ◽  
Industrial Carbon ◽  
Industrial Energy ◽  
Industrial Energy Consumption ◽  
Consumption Intensity

Energy consumption is the major source of industrial carbon emissions. Energy consumption carbon emission factor method and LMDI (Logarithmic Mean Divisia Index) method was used to analyze the carbon emission evolution of industrial economy energy consumption in Jiangsu Province with collected data on industrial energy consumption in 1995-2012. Results showed that Jiangsu province economic industrial carbon emissions keep increasing in 1995-2012 years. The results of carbon emission increase analysis of energy consumption structure effects, industrial energy consumption intensity effects and output scale effects in 1999-2012 showed that energy consumption intensity effect has the maximum contribution to carbon emissions in industrial carbon emissions Jiangsu Province. Therefore, the main way to control carbon emissions of industrial energy consumption in Jiangsu Province is reasonably control the growth of energy consumption.

scholarly journals Study on Global Industrialization and Industry Emission to Achieve the 2 °C Goal Based on MESSAGE Model and LMDI Approach

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 825 ◽  
Author(s):  
Shining Zhang ◽  
Fang Yang ◽  
Changyi Liu ◽  
Xing Chen ◽  
Xin Tan ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Energy Supply ◽  
Industrial Sector ◽  
Carbon Intensity ◽  
Global Energy ◽  
Energy Supply System ◽  
Industrial Carbon ◽  
Global Energy Supply

The industrial sector dominates the global energy consumption and carbon emissions in end use sectors, and it faces challenges in emission reductions to reach the Paris Agreement goals. This paper analyzes and quantifies the relationship between industrialization, energy systems, and carbon emissions. Firstly, it forecasts the global and regional industrialization trends under Representative Concentration Pathway (RCP) and Shared Socioeconomic Pathway2 (SSP2) scenarios. Then, it projects the global and regional energy consumption that aligns with the industrialization trend, and optimizes the global energy supply system using the Model for Energy Supply Strategy Alternatives and their General Environmental Impact (MESSAGE) model for the industrial sector. Moreover, it develops an expanded Kaya identity to comprehensively investigate the drivers of industrial carbon emissions. In addition, it employs a Logarithmic Mean Divisia Index (LMDI) approach to track the historical contributions of various drivers of carbon emissions, as well as predictions into the future. This paper finds that economic development and population growth are the two largest drivers for historical industrial CO2 emissions, and that carbon intensity and industry energy intensity are the top two drivers for the decrease of future industrial CO2 emissions. Finally, it proposes three modes, i.e., clean supply, electrification, and energy efficiency for industrial emission reduction.

Accounting of Carbon Emissions in Key Fields of Dongying City, Shandong Province

2013 ◽  
Vol 361-363 ◽  
pp. 123-126
Author(s):  
Zi Jun Li ◽  
Can Juan Gong
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Statistical Data ◽  
Low Carbon ◽  
Industrial Energy ◽  
Dongying City ◽  
Industrial Energy Consumption ◽  
Important Significance

Industry, construction and transportation are the key fields of carbon emission. Based on the reality of Dongying City, and combined with relevant statistical data, carbon emissions in industry, construction and transportation of Dongying City are accounted objectively. The results show that carbon emission in key fields of Dongying City has a fast increasing tendency from 2005 to 2009. Among which, carbon emissions of industry account for the largest proportion with the five-year average of 82.04%, followed by the construction and transportation, with the five-year average of 12.77% and 5.19% respectively. Therefore, adjusting and optimizing industrial energy consumption in the key fields is crucial to carbon emission reduction of Dongying City. This has an important significance for Dongying City to achieve energy conservation, emission reduction and build a low-carbon ecological city.

Influencing Factors Decomposition of the Carbon Emission of Industrial Energy Consumption in Nanning Downtown Based on LMDI

2015 ◽  
Vol 737 ◽  
pp. 925-934 ◽  
Author(s):  
Jing Yang ◽  
Huan Mei Yao ◽  
Meng Lin Qin
Keyword(s):  
Energy Consumption ◽  
Carbon Emission ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Energy Structure ◽  
Driving Factor ◽  
Low Carbon ◽  
Industrial Carbon ◽  
Industrial Energy ◽  
Industrial Energy Consumption

According to IPCC carbon emission calculation instruction, the amount of industrial carbon emission of downtown of Nanning from 2003-2012 is evaluated. With LMDI element decomposition method, the carbon emission of industrial energy consumption in Nanning downtown is decomposed into effect of five aspects such as energy structure, energy intensity, industrial structure, economic scale and population size. It turns out that: the energy structure change can promote the increase of carbon emission. The energy consumption structure should be optimized and the proportion of high-carbon energy consumption should be reduced; The energy intensity is the leading driving factor of carbon emission. The energy efficiency should be further improved to control the increase of carbon emission to some degree; The industrial structure restrains the increase of carbon emission in a great degree. Industrial restructuring should be strengthened and low-carbon industry should be developed; The scale of economy is the main driving factor of the increase of carbon emission. The extensive way of economic growth which depends on the large input of production factors should be changed; The population has a promoting function the increase of carbon emission, while the driving effect is weak, and the growth rate of the population should be strictly controlled.

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