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.

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.

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.

Probe into the Strategies of Regional Energy-Saving and Emission-Reduction Based on the Energy Consumption Structure Evolution

2015 ◽  
Vol 737 ◽  
pp. 956-962
Author(s):  
Xiao Geng Niu ◽  
Nan Nan Cao
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Energy Saving ◽  
Emission Intensity ◽  
Emission Reduction ◽  
Carbon Dioxide Emission ◽  
Structure Evolution ◽  
Energy Structure ◽  
Consumption Structure ◽  
Regional Energy

From 1980 to 2012 there were 80% carbon dioxide emission from traditional fossil energy in the world, and the proportion reached 90% in China, which was the top of carbon dioxide emission and energy consumption. In order to release the pressure of short term energy-saving and emission-reduction, as well as implement energy system cleaning in long term, reversing the positive situation of energy structure adjustment and the advancing the continuous evolution of energy consumption structure will be the effective methods. This paper takes Hebei Province and the whole country as the research objects, analyzes the influence of energy consumption structure changes on carbon dioxide emission and the correlation effect between energy consumption structure and carbon dioxide emission intensity by constructing a correlation model between energy consumption structure and carbon dioxide emission intensity, discusses the effective strategies for the regional energy-saving and emission-reduction.

scholarly journals Thermodynamic Study of Energy Consumption and Carbon Dioxide Emission in Ironmaking Process of the Reduction of Iron Oxides by Carbon

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1999
Author(s):  
Guanyong Sun ◽  
Bin Li ◽  
Hanjie Guo ◽  
Wensheng Yang ◽  
Shaoying Li ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Iron Oxides ◽  
Volume Fraction ◽  
Minimum Energy ◽  
Carbon Dioxide Emission ◽  
Reduction Reactions ◽  
Co2 Output ◽  
Coupling Parameters ◽  
Ironmaking Process

Carbon included in coke and coal was used as a reduction agent and fuel in blast furnace (BF) ironmaking processes, which released large quantities of carbon dioxide (CO2). Minimizing the carbon consumption and CO2 output has always the goal of ironmaking research. In this paper, the reduction reactions of iron oxides by carbon, the gasification reaction of carbon by CO2, and the coupling reactions were studied by thermodynamic functions, which were derived from isobaric specific heat capacity. The reaction enthalpy at 298 K could not represent the heat value at the other reaction temperature, so the certain temperature should be confirmed by Gibbs frees energy and gas partial pressure. Based on Hess’ law, the energy consumption of the ironmaking process by carbon was calculated in detail. The decrease in the reduction temperature of solid metal iron has been beneficial in reducing the sensible heat required. When the volume ratio of CO to CO2 in the top gas of the furnace was given as 1.1–1.5, the coupling parameters of carbon gasification were 1.06–1.28 for Fe2O3, 0.71–0.85 for Fe3O4, 0.35–0.43 for FeO, respectively. With the increase in the coupling parameters, the volume fraction of CO2 decreased, and energy consumption and CO2 output increased. The minimum energy consumption and CO2 output of liquid iron production were in the reduction reactions with only CO2 generated, which were 9.952 GJ/t and 1265.854 kg/t from Fe2O3, 9.761 GJ/t and 1226.799 kg/t from Fe3O4, 9.007 GJ/t and 1107.368 kg/t from FeO, respectively. Compared with the current energy consumption of 11.65 GJ/t hot metal (HM) and CO2 output of 1650 kg/tHM of BF, the energy consumption and CO2 of ironmaking by carbon could reach lower levels by decreasing the coupled gasification reactions, lowering the temperature needed to generate solid Fe and adjusting the iron oxides to improve the iron content in the raw material. This article provides a simplified calculation method to understand the limit of energy consumption and CO2 output of ironmaking by carbon reduction iron oxides.

Research of Graphic User Interface of Carbon Dioxide Emission Evaluation Model in Construction Life Cycle Based on Matlab

2013 ◽  
Vol 689 ◽  
pp. 546-550
Author(s):  
Xue Hong Gan ◽  
Wei Wang ◽  
Shi Mei Liu
Keyword(s):  
Carbon Dioxide ◽  
Life Cycle ◽  
Evaluation Model ◽  
Carbon Dioxide Emission ◽  
Graphic User Interface ◽  
Property Management ◽  
Low Carbon ◽  
Management Responsibility ◽  
Residential Quarter ◽  
First Time

To build carbon dioxide emission evaluation model in construction life cycle is the key link to make low-carbon research of theoretical studies head towards practical application. For the first time, residential quarter is selected as the object in the study, carbon dioxide emission management responsibility of owner and property being considered and carbon dioxide emission evaluation model in construction life cycle based on matlab as well as database of carbon dioxide factor being built initially. Net carbon dioxide emission information will be shown timely, then carbon dioxide emission and absorption can be adjusted by property management accordingly.

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