scholarly journals Research on IFLP optimization model for carbon emission reduction

2019 ◽  
Vol 277 ◽  
pp. 01009 ◽  
Author(s):  
Qiannan GUO
Keyword(s):  
Carbon Dioxide ◽  
Linear Programming ◽  
Energy Consumption ◽  
Optimization Model ◽  
Carbon Dioxide Emissions ◽  
Emission Reduction ◽  
Carbon Dioxide Emission ◽  
Fuzzy Linear Programming ◽  
Green Economy ◽  
Economic Output

This study proposed an optimization model combined with Binding Interval Linear Programming (ILP) and Fuzzy linear programming (FLP) Methods and further analyzed from the views of economic output, energy consumption, carbon dioxide emission and emission cost. The optimization model results demonstrated that the heavy energy consumption industries will significantly reduce, and the target of the carbon dioxide emissions per unit of GDP reduction decrease by 40%-45% from 2005 to 2020. In addition, the economic development model will trend to optimize the allocation of resources and green economy. However, a single low-carbon economic policy will always have shortcomings and low efficiency in emission reduction. Hence, the government should combine all emission reduction policies together and establish a lowcarbon economy system that practice production activities need.

scholarly journals Dynamic relationship between urban carbon dioxide emissions and economic growth

2020 ◽  
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Granger Causality ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Dioxide Emission ◽  
Dynamic Relationship

<p>Urban economic development cannot be separated from energy consumption, and energy consumption directly leads to a large number of carbon emissions. It is of great significance to study the relationship between carbon dioxide emissions and economic growth for the implementation of energy conservation, emission reduction and the development of low-carbon economy in cities. A new method of dynamic relationship between urban carbon dioxide emission and economic growth is put forward. The carbon dioxide emission data in cities are calculated by using urban carbon dioxide emission measurement method. The data of economic attributes are obtained by using classification algorithm under uncertain data flow environment. Based on this data, a decoupling model of carbon emission and economic growth is constructed to measure economic growth elasticity of urban carbon emissions; Granger causality test model is established to analyze the Granger causality between urban carbon dioxide emissions and economic growth. The experimental results show that the growth rate of urban economy is obviously faster than that of carbon emissions. Economic growth is the Granger causality of carbon dioxide emissions. On the contrary, the implementation of carbon emission reduction measures will not hinder economic growth.</p>

scholarly journals The impact of socio-economic institutional change on agricultural carbon dioxide emission reduction in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251816
Author(s):  
Deng Jie Long ◽  
Li Tang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Emission Reduction ◽  
Carbon Dioxide Emission ◽  
Carbon Sources ◽  
Diesel Oil ◽  
The Impact

With the change of social economic system and the rapid growth of agricultural economy in China, the amount of agricultural energy consumption and carbon dioxide emissions has increased dramatically. Based on the estimation of agricultural carbon dioxide emissions from 1991 to 2018 in China, this paper uses EKC model to analyze economic growth and agricultural carbon dioxide emissions. The Kaya method is used to decompose the factors affecting agricultural carbon dioxide emissions. The experimental results show that there is a co-integration relationship between economic growth and the total intensity of agricultural carbon emissions, and between economic growth and the intensity of carbon emissions caused by five types of carbon sources: fertilizer, pesticide, agricultural film, agricultural diesel oil and tillage. Economic growth is the main driving factor of agricultural carbon dioxide emissions. In addition, technological progress has a strong role in promoting carbon emission reduction, but it has a certain randomness. However, the impact of energy consumption structure and population size on carbon emissions is not obvious.

scholarly journals The Increase of Energy Consumption and Carbon Dioxide (CO2) Emission in Indonesia

2018 ◽  
Vol 31 ◽  
pp. 01008 ◽  
Author(s):  
Hadi Sasana ◽  
Annisa Eka Putri
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Dioxide Emissions ◽  
Linear Regression Analysis ◽  
Carbon Dioxide Emission ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Fossil Energy

In the last decade, the increase of energy consumption that has multiplied carbondioxide emissions becomes world problems, especially in the developing countries undergoing industrialization to be developed ones like Indonesia. This aim of this study was to analyze the effect of fossil energy consumption, population growth, and consumption of renewable energy on carbon dioxide emission. The method used was multiple linear regression analysis with Ordinary Least Square approach using time series in the period of 1990 - 2014. The result showed that fossil energy consumption and population growth have a positive influence on carbon dioxide emission in Indonesia. Meanwhile, the consumption variable of renewable energy has a negative effect on the level of carbon dioxide emissions produced.

scholarly journals Is China’s target of a 40-45% reduction in carbon dioxide emission plausible?

2017 ◽  
Vol 5 (1) ◽  
pp. 46-50 ◽  
Author(s):  
Mpho Bosupeng
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Environmental Preservation ◽  
Carbon Taxation ◽  
Reduce Emissions ◽  
Potential Damage ◽  
Reduce Carbon Dioxide

AbstractIn the early days of industrialisation, economists believed that the ramifications of economic growth will far outweigh the potential damage to the environment. Today the concern is the rising magnitude of emissions. Many economies are under immense pressure to reduce carbon dioxide emissions. Carbon taxation and absorption technologies seem to be the main mechanisms controlling emissions in different nations. China proposed her target of reducing carbon dioxide emissions by 40-45% by 2025. The purpose of this study is to determine if China’s ambition of reducing its carbon dioxide emissions is feasible. This investigation also examines the potential effects of China's emissions on the economic growth of other countries. The study demonstrates that China’s target may not only reduce her output, but may also adversely affect the economic growth of others. This article further reveals that unemployment in China is likely to soar during the reduction in emissions and energy consumption. Additionally, this paper evaluates the effects of green taxation on carbon dioxide emissions. In conclusion, there is a possibility that China may reach her emissions target by 2025. However, the country faces a dilemma between economic growth and environmental preservation. It is recommended that China should explore techniques which will reduce emissions but not impinge negatively on economic growth.

Calculation of Carbon Dioxide Emission in Nanjing City and its Influencing Factors

2014 ◽  
Vol 665 ◽  
pp. 517-520
Author(s):  
Qiang Zhao ◽  
Xiu Mei Li ◽  
Xiang Yu Cui
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Influencing Factors ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Clean Energy ◽  
Energy Structure ◽  
Low Carbon ◽  
Index Decomposition ◽  
Laspeyres Index

The research estimates the carbon dioxide emissions of energy consumption from 2003 to 2011 using the method in IPCC national greenhouse gases listing guidance, by adopting the method of Kaya identities and Laspeyres index decomposition technique to analyze the influencing factors and the influencing degree. The result shows that the main factors influencing carbon dioxide emissions are energy structure and per capita GDP, and to develop clean energy, to improve energy structure are important choice to reduce the carbon dioxide emissions of energy consumption, realize low carbon in the future. This research provides an important reference to protect the environment and to promote the sustainable development of economy.

The Study on Community Energy Planning and Emission Reduction in China

2012 ◽  
Vol 433-440 ◽  
pp. 1442-1446 ◽  
Author(s):  
Zhi Hua Zhou ◽  
Zi Chao Tan ◽  
Guo Qiang Yang ◽  
She Ming Qiu
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Energy Saving ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Energy Structure ◽  
Regional Energy ◽  
Save Energy ◽  
Reduce Carbon Dioxide

Climate change is becoming a highlight of the world. As the world's second largest CO2 emission country, China faces increasing pressure. Energy consumption and utilizing is the major source of CO2 emissions. Optimization of the regional energy configuration can not only reduce energy consumption, but also reduce carbon dioxide emissions. Thus, it will achieve energy conservation and sustainable development. Based on the Eco-city constructed by China and Sino-Singapore, this paper calculates the regional energy-saving under the requirement of existing Energy Conservation Code, plans its energy saving quantity by taking some measurements and then predicts the carbon dioxide emission reductions. The result shows that using effective measures to save energy can reduce 227772t carbon dioxide emissions. Using renewable energy and energy saving measures will reduce 371414t CO2, which has a striking effect. So changing energy structure and using renew energy are main measures to reduce CO2 emission.

scholarly journals A Systematic Review on the Performance Characteristics of Sustainable, Unfired Admixed Soil Blocks for Agricultural and Industrial Waste Management

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Tarun Sharma ◽  
Sandeep Singh ◽  
Parteek Singh Thind ◽  
Jasgurpreet Singh Chohan ◽  
Raman Kumar ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Systematic Review ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Performance Characteristics ◽  
Industrial Wastes ◽  
Dry Density ◽  
Maximum Dry Density ◽  
Pull Out

Unfired admixed soil blocks are composed of standard soil and a stabilizer or reinforcement material in the form of binder and fiber. This literature review systematically examines the performance characteristics of unfired admixed soil blocks made by using binders such as cement, lime, and other agricultural and industrial wastes available in the form of fibers and ash. A systematic search was carried out on Web of Science and SCOPUS using different keywords, and 313 records were found. After the screening and eligibility process as per PRISMA guidelines, 36 papers were eligible and hence selected to be reviewed and analyzed. This paper examines the performance characteristics of the blocks in terms of physical properties, mechanical properties, durability, microstructural evaluation, statistical analysis, cost analysis, energy consumption, and carbon dioxide emission. It was found that of the total 9 parameters considered for discussion, most of the studies using different admixtures (binder and fibers) in soil blocks were focused on compressive strength testing of blocks, water absorption, and durability by wetting drying cycles. However, other parameters like bulk density, maximum dry density and optimum water content, thermal conductivity, tensile strength, and flexural strength examined in recent studies are also reported in this paper. This systematic review proposes some research problems to be worked on various additional parameters like linear shrinkage, pull out test, erosion test, sorptivity test, porosity, efflorescence, water permeability, freeze/thaw test, and analysis of energy consumption and carbon dioxide emissions during the manufacturing of unfired admixed soil blocks using various binders and fibers for further study which the current literature lacks.

scholarly journals Energy conversion path and optimization model in COVID-19 under low carbon constraints based on statistical learning theory

2020 ◽  
Vol 39 (6) ◽  
pp. 9053-9061
Author(s):  
Wensheng Wang ◽  
Han Yu ◽  
Qing Gao ◽  
Muhan Hu
Keyword(s):  
Carbon Dioxide ◽  
Big Data ◽  
Energy Consumption ◽  
Objective Function ◽  
Statistical Learning ◽  
Learning Theory ◽  
Optimization Model ◽  
Carbon Dioxide Emission ◽  
Low Carbon ◽  
Consumption Structure

This paper uses statistical learning theory and big data analysis to study the energy consumption structure of China from qualitative and quantitative aspects during COVID-19. According to the domestic and foreign scholars’ research on the optimization of energy consumption structure, the carbon emission factor is considered in the optimization of energy consumption structure. Taking the minimum energy consumption cost and carbon dioxide emission as the objective function, the carbon dioxide emission is taken as the objective function, and the total energy consumption and various energy consumption proportions as the constraint conditions, the multi-objective planning method is used to evaluate the energy consumption structure of China. The optimization model of source consumption structure is analyzed, and the medium and long-term energy transformation path and optimization model under low-carbon constraints are studied. Combined with the experimental algorithms related to big data, it is concluded that China’s economic development mainly depends on a large amount of energy consumption during the COVID-19 period. On this basis, some suggestions are put forward to realize the sustainable development of China’s economy and energy.

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