An Analysis on Carbon Emissions and Energy Efficiency of Small Heavy Industrial Enterprises in Shanghai

2013 ◽  
Vol 869-870 ◽  
pp. 997-1000
Author(s):  
Jing Jing Zhang ◽  
Jian Cheng Kang ◽  
Hao Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Correlation Coefficients ◽  
Carbon Intensity ◽  
Small Enterprises ◽  
Growth Trend ◽  
Positive Correlation ◽  
Industrial Enterprises

Based on the energy consumption and the output value data of the 6 small heavy industrial enterprises during 2007-2011 in Shanghai, we calculated comprehensive energy consumption, carbon emissions, carbon intensity and energy intensity of these enterprises. It been found that the comprehensive energy consumption and the carbon emissions of the 6 small enterprises are in a fluctuating growth trend but the energy intensity and the carbon intensity show a trend of fluctuating downward. The energy intensity and the carbon intensity of the small enterprises are much larger than the average of the two whole industries in Shanghai. We analyzed the correlation coefficients between the output value and the energy consumption as well as between the output value and the carbon emissions. The results show that the comprehensive energy consumption and the carbon emissions have positive correlation as well as the carbon emissions and the output value.

Calculation and Evaluation Methodology of Transport Energy Consumption and Carbon Emissions: A Case Study of Jiangsu Province

2014 ◽  
Vol 962-965 ◽  
pp. 1293-1302 ◽  
Author(s):  
Bin Ouyang ◽  
Zhen Hua Feng ◽  
Qing Hua Bi
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Jiangsu Province ◽  
Policy Implications ◽  
System Structure ◽  
Evaluation Methodology ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Carbon Transport

The calculation methodology of transport carbon emissions, based on the methodology recommended by Intergovernmental Panel on Climate Change (IPCC) and the energy consumption statistics of provincial transport industry in China, is proposed. By using the methodology, the energy consumption and carbon emissions of highway, waterway and urban passenger transport from 2005 to 2012 of Jiangsu Province are calculated and evaluated. And the developing trends and main features from the perspectives of the total amount of transport energy consumption and carbon emissions, the proportional of both various energy types and various transport modes in the energy consumption, the energy intensity and carbon dioxide intensity, are systematically analyzed. Finally, some policy implications of low-carbon transport development were conclusively put forward, including reducing energy intensity and carbon intensity as the core focus, the highway transport as the breakthrough point, optimizing the integrated transport system structure and developing of public transport in priority as the strategic orientation, developing clean and low-carbon energy as an important way, etc. The research methodology and results can provide references for decision-making and management of the relevant provinces and cities on low-carbon transport development.

scholarly journals Methods of determination of product energy intensity on the example of a grain elevator

2021 ◽  
Author(s):  
V. Korenda ◽  
◽  
O. Protasov ◽  
I. Vyshniakov ◽  
M. Kolyadyuk ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Management ◽  
Energy Intensity ◽  
Energy Budgets ◽  
Professional Activity ◽  
Energy Management Systems ◽  
Industrial Enterprises ◽  
Grain Elevator

Energy management is an independent type of professional activity aimed at achieving in the course of any business activity of an enterprise operating in market conditions, reducing costs by improving energy efficiency. Energy management includes a set of measures aimed at saving energy resources: monitoring of energy consumption and energy intensity of products, development of energy budgets, analysis of existing indicators as a basis for drawing up new budgets, development of energy policy, planning of new energy saving measures. This article describes the methodology for determining the energy intensity of products for industrial enterprises, namely energy intensity indicators. These values include: norms of consumption of heat and electricity per unit of industrial production, as well as norms of consumption of fuel and electricity for the supply of heat to the boiler plant of the enterprise. These numbers are indicators of energy efficiency that need to be calculated when implementing energy management systems at enterprises. They are the benchmarks by which the current state of energy efficiency is assessed and planned for the future, taking into account changes in output, implementation or dismantling of equipment, implementation of energy-saving measures, etc. The article shows the calculation of energy consumption of products by the example of a grain elevator.

Influencing Factors and Decoupling Analysis of Carbon Emissions in China's Manufacturing Industry

2021 ◽  
Author(s):  
baoling jin ◽  
ying Han
Keyword(s):  
Carbon Emissions ◽  
Manufacturing Industry ◽  
Energy Intensity ◽  
Value Added ◽  
Carbon Intensity ◽  
Energy Structure ◽  
Investment Efficiency ◽  
Fixed Asset ◽  
Carbon Productivity ◽  
Fixed Asset Investment

Abstract The manufacturing industry directly reflects national productivity, and it is also an industry with serious carbon emissions, which has attracted wide attention. This study decomposes the influential factors on carbon emissions in China’s manufacturing industry from 1995 to 2018 into industry value added (IVA), energy consumption (E), fixed asset investment (FAI), carbon productivity (CP), energy structure (EC), energy intensity (EI), investment carbon intensity (ICI) and investment efficiency (IE) by Generalized Divisia Index Model (GDIM). The decoupling analysis is carried out to investigate the decoupling states of the manufacturing industry under the pressure of "low carbon" and "economy.” Considering the technological heterogeneity, we study the influential factors and decoupling status of the light industry and the heavy industry. The results show that: (1) Carbon emissions of the manufacturing industry present an upward trend, and the heavy industry is the main contributor. (2) Fixed asset investment (FAI), industry value added (IVA) are the driving forces of carbon emissions. Investment carbon intensity (ICI), carbon productivity (CP), investment efficiency (IE), and energy intensity (EI) have inhibitory effects. The impact of the energy consumption (E) and energy structure (EC) are fluctuating. (3) The decoupling state of the manufacturing industry has improved. Fixed asset investment (FAI), industry value added (IVA) hinder the decoupling; carbon productivity (CP), investment carbon intensity (ICI), investment efficiency (IE), and energy intensity (EI) promote the decoupling.

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.

Research on Energy Efficiency and Environmental Pollution in China: a Simultaneous Equations Approach

2011 ◽  
Vol 361-363 ◽  
pp. 974-977 ◽  
Author(s):  
Ying Nan Dong ◽  
Yu Duo Lu ◽  
Jiao Jiao Yu
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Economic Loss ◽  
Simultaneous Equations ◽  
Consumption Structure ◽  
The Relationship

This paper examined the relationship between the energy efficiency and the environmental pollution. By using the data of energy intensity and economic loss caused by environmental pollution (ELP) in China from 1989-2009, a simultaneous equations was developed. The result of two-stage OLS estimation suggested that the energy had exerted positive influences on the decreasing of the environmental pollutions. By enhancing the energy efficiency and adjusting the industrial structure and energy consumption structure, China is exploring a road for sustainable development in the energy conservation.

An Analysis of Changes of Carbon Emissions by the Farmers in Sichuan, China in 1997-2010

2013 ◽  
Vol 448-453 ◽  
pp. 4455-4460
Author(s):  
Juan Tan ◽  
Chang Quan Lin
Keyword(s):  
Energy Consumption ◽  
Population Size ◽  
Carbon Emissions ◽  
Rural Areas ◽  
Energy Intensity ◽  
Sichuan Province ◽  
Residential Areas ◽  
Direct Role ◽  
Energy Mix ◽  
Economic Level

On the basis of the extended Kaya identity and by means of LMDI, the writers analyze quantitatively the 4 factors including energy mix, energy intensity, economic level, and population size, etc. thus giving effects to changes of carbon emissions from livelihood energy consumption by the farmers in the rural residential areas in Sichuan Province from 1997 to 2010.The results show that the energy mix and energy intensity have brought negative effects to the growth of carbon emissions. These effects will come into being more and more obviously. Economic level played a direct role in growth of carbon emissions, which is considered to be their greatest and everlasting contributor in respect of growth of carbon emissions. The contribution of population size keeps pace with carbon emissions basically. These reflect Sichuan Province have made some achievements in developing new energy in the rural areas in recent years. The rural population have been maintained under stable control in Sichuan. Meanwhile, with its economic development, the rural residents livelihood have been improved gradually and the demand for energy consumption keeps on rising. Finally, carbon emissions have increased in the rural areas of Sichuan Province.

scholarly journals Computer Scenario-Precedent Technology Treining of Energy Managers

2021 ◽  
Vol 43 (3) ◽  
pp. 75-86
Author(s):  
B.M. Pleskach ◽  
◽  
V.D. Samoilov ◽  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Production Systems ◽  
Topical Issue ◽  
Scenario Modeling ◽  
Industrial Enterprises ◽  
Stationary Energy ◽  
Software Modules ◽  
Energy Manager ◽  
Theoretical Foundations

The article considers the topical issue of developing simulators for advanced training of specialists in energy efficiency management of industrial enterprises and utilities. The aim of the study is to develop the theoretical foundations of the use of computerized systems for training energy managers. The object of the study is the practical activities of the personnel of the enterprise, aimed at improving the energy efficiency of production systems for various purposes. The research method based on scenario modeling of energy manager actions and precedent modeling of equipment reactions to such actions. The modeling of energy manager actions based on the Deming cycle, and the modeling of reactions of production systems based on cases of quasi-stationary energy consumption of the technologi-cal system. The software platform of the proposed technology consists of a base of precedents for quasistationary energy consumption and software modules that reproduce the PDCA control cycle (Plen-Do-Check-Act). The technology allows to work out the actions of the energy manager aimed at planning energy saving measures and calculating the financial and economic results achieved during their implementation.

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.

scholarly journals The Implementation of Climate Change Policy in Post-Soviet Countries Achieving Long-Term Targets

2020 ◽  
Vol 12 (11) ◽  
pp. 4558
Author(s):  
Yuliia Matiiuk ◽  
Mykolas Simas Poškus ◽  
Genovaitė Liobikienė
Keyword(s):  
Climate Change ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Climate Change Policy ◽  
Renewable Energy Consumption ◽  
Change Policy ◽  
The Eu

Contribution to climate change mitigation is required for all world countries. Post-Soviet countries’ climate change policy strategies by 2030 (2035) were adopted relatively recently. Thus, the aim of this study is to analyze the achievements of climate change policy, encompassing carbon emissions, energy intensity, and renewable energy consumption, in separate Post-Soviet countries and to reveal the possibilities of reaching their long-term 2030–2035 targets. The results showed huge differences in carbon emissions, energy intensity, and the share of renewable energy consumption among Post-Soviet countries. Analyzing the trends of climate change policy implementation in almost all Post-Soviet countries (except Ukraine and Uzbekistan), carbon pollution increased during the analyzed period (2002–2014). The highest growth of emissions was observed in Georgia and Tajikistan. Furthermore, the economic development level was positively and significantly related to the level of carbon emissions. During the 2002–2014 period, energy intensity decreased in all Post-Soviet countries, particularly in those where the level was lower. The share of renewable energy consumption increased the most in countries that are members of the EU (Latvia, Lithuania, and Estonia) and Moldova, which declared its willingness to join the EU. However, the energy intensity and the share of renewable energy consumption were insignificantly related to the level of economic development. Analyzing the possibility of achieving the Post-Soviet countries’ climate change policy targets, the results showed that only some of them will succeed. Therefore, Post-Soviet countries should implement more efficient climate change policies and effective tools in order to achieve their targets.

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