scholarly journals Energy Demand and Carbon Emission Peak Forecasting of Beijing Based on Leap Energy Simulation Method

2020 ◽  
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Demand ◽  
Carbon Emission ◽  
Simulation Method ◽  
Negative Influence ◽  
Low Carbon ◽  
Peak Value

<p>The long-term forecasting of the energy demand is an important issue of an area’s sustainable development, especially for mega cities such as Beijing. Beijing is changing its energy supply strategy to depend on energy imports from other provinces due to the city’s long-term low carbon sustainable development plan. Beijing has promised that it will reach the peak value of energy consumption by 2050 and the peak value of the carbon emissions by 2030. To understand whether this can be achieved, this study built an energy demand simulation model using the LEAP with different development scenarios. The results show that, the peak value of Beijing’s energy demand is between 108.25 and 131.74 Mtce during the period of 2044 to 2048, while the peak value of carbon emissions is between 134 and 139.38 million tons in 2025. We also find that adjusting the industry structure and improving the tertiary industry’s energy usage efficiency can be efficient ways to reduce energy consumption. These approaches not only reduce the negative influence of the economic development, but also achieve the energy saving and carbon emission reducing requirements. This study provides an interpretation of the implications for the future energy and climate policies of Beijing.</p>

Carbon Emission of Mining Industry’s Energy Consumption in Heilongjiang Province

2015 ◽  
Vol 1092-1093 ◽  
pp. 1597-1600
Author(s):  
Zhong Hua Wang ◽  
Xin Ye Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Mining Industry ◽  
Calculation Model ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Heilongjiang Province ◽  
Low Carbon

The need to reduce carbon emission in Heilongjiang Province of China is urgent challenge facing sustainable development. This paper aims to make explicit the problem-solving of carbon emission to find low carbon emission ways. According to domestic and foreign literatures on estimating and calculating carbon emissions and by integrating calculation methods of carbon emissions, it was not possible to consider all of the many contributions to carbon emissions. Calculation model of carbon emissions suitable to this paper is selected. The carbon emissions of energy consumption in mining industry are estimated and calculated from 2005 to 2012, and the characteristics of carbon emission are analyzed at the provincial level. It makes the point that carbon emissions of energy consumption in mining industry can be reduced when we attempt to alter energy consumption structure, adjust industrial structure and improve energy utilization efficiency.

scholarly journals Analysis of total carbon emission of the logistics industry in Guangdong and solutions to emission reduction

2021 ◽  
Vol 245 ◽  
pp. 01020
Author(s):  
Aixia Xu ◽  
Xiaoyong Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Utilization ◽  
Total Carbon ◽  
Utilization Rate ◽  
Low Carbon ◽  
Logistics Industry ◽  
Direct Energy ◽  
Reduce Emissions

The input-output method is employed in this study to measure the total carbon emission of the logistics industry in Guangdong. The findings revealed that the carbon emission of direct energy consumption of the logistics industry in Guangdong is far above the actual carbon emissions, the second and third industries play a significant role in carbon emission of indirect energy consumption in the logistics industry in Guangdong. To reduce energy consumption and carbon emissions in Guangdong, it is not only important to control the carbon emissions in the logistics industry, but strengthen carbon emission detection in relevant industries, improve the energy utilization rate and reduce emissions in other industries, and move towards low-carbon sustainable development.

scholarly journals Constructing an Environmental Friendly Low-Carbon-Emission Intelligent Transportation System Based on Big Data and Machine Learning Methods

2020 ◽  
Vol 12 (19) ◽  
pp. 8118
Author(s):  
Tu Peng ◽  
Xu Yang ◽  
Zi Xu ◽  
Yu Liang
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Intelligent Transportation ◽  
Exhaust Emissions ◽  
Low Carbon ◽  
Vehicle Exhaust ◽  
The Sustainable Development ◽  
Low Carbon Emission

The sustainable development of mankind is a matter of concern to the whole world. Environmental pollution and haze diffusion have greatly affected the sustainable development of mankind. According to previous research, vehicle exhaust emissions are an important source of environmental pollution and haze diffusion. The sharp increase in the number of cars has also made the supply of energy increasingly tight. In this paper, we have explored the use of intelligent navigation technology based on data analysis to reduce the overall carbon emissions of vehicles on road networks. We have implemented a traffic flow prediction method using a genetic algorithm and particle-swarm-optimization-enhanced support vector regression, constructed a model for predicting vehicle exhaust emissions based on predicted road conditions and vehicle fuel consumption, and built our low-carbon-emission-oriented navigation algorithm based on a spatially optimized dynamic path planning algorithm. The results show that our method could help to significantly reduce the overall carbon emissions of vehicles on the road network, which means that our method could contribute to the construction of low-carbon-emission intelligent transportation systems and smart cities.

The Asymmetric Impact of Economic Growth, Energy Consumption, Population, and R&D on Carbon Emission in Turkey

2022 ◽  
pp. 200-215
Author(s):  
Nurcan Kilinc-Ata
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Nonlinear Ardl ◽  
Asymmetric Impact ◽  
The Asymmetry ◽  
Growth Energy

The presented study analyzes the asymmetry effect of research and development (R&D) expenditures, population growth, energy consumption, and economic growth on carbon emissions in the sample of Turkey for the period 1990-2020. Nonlinear ARDL is used to control the asymmetry of the variables. Linear ARDL is used to control the long-term and short-term relationships between the variables. The findings show that there is a symmetrical or linear relationship between the variables of R&D expenditures, population growth, energy consumption, economic growth, and carbon emissions. The findings display that economic growth and R&D are effective in reducing carbon emissions, while energy consumption seems to increase carbon emissions. Interestingly, the population was found to be effective in reducing carbon emissions in the study. In order for Turkey to reach its 2050 target, it is necessary to give priority to environmental regulations and policies.

Study on the Passenger Transportation Energy Demand and Carbon Emission of Jilin Province Based on LEAP Model

2012 ◽  
Vol 518-523 ◽  
pp. 2243-2246 ◽  
Author(s):  
Zhuo Ma ◽  
Yong Xuan Wang ◽  
Hai Yan Duan ◽  
Xian En Wang ◽  
De Ming Dong
Keyword(s):  
Energy Demand ◽  
Carbon Emission ◽  
Jilin Province ◽  
Baseline Scenario ◽  
Low Carbon ◽  
Transportation Industry ◽  
Transportation Energy ◽  
Passenger Transportation ◽  
Term Energy

With the continuous development of the economic economy, the demands for automobiles in Jilin province increase constantly. The carbon emission control of transportation department will become one of the key fields for greenhouse gas control in Jilin province. This paper employs the LEAP Model, through setting Baseline scenario and Low-carbon scenario, to imitate the long-term energy demand and carbon emission of urban passenger transport in Jilin province. Then after the comparative analysis, this paper investigates the major impact elements and feasible paths for Jilin’s transportation industry carbon emission.

scholarly journals A Comprehensive Evaluation of Carbon Emission Reduction Capability in the Yangtze River Economic Belt

2020 ◽  
Vol 17 (2) ◽  
pp. 545 ◽  
Author(s):  
Decai Tang ◽  
Yan Zhang ◽  
Brandon J Bethel
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Yangtze River ◽  
Carbon Emission ◽  
The Yangtze River ◽  
Low Carbon ◽  
Carbon Sinks ◽  
Carbon Emission Reduction ◽  
Low Carbon Economy

The Yangtze River Economic Belt (YREB) is an essential part of China’s goal of reducing its national carbon emissions. Focusing on economic and social development, the development of science and technology, carbon sinks, energy consumption, and carbon emissions, this paper uses “the Technique for Order of Preference by Similarity to Ideal Solution mode” (TOPSIS) and “an obstacle factor diagnosis method” to measure the reduction capacity of each province and municipality of the YREB. Key obstacles to achieving the goal of carbon emission reduction are also identified. The main finding is that the emission reduction capacities of Shanghai, Jiangsu and Zhejiang in China’s east is far greater than that of all other provinces and municipalities, the main obstacle of Shanghai, Jiangsu, and Zhejiang are carbon sinks, energy consumption and carbon emission, and other provinces and municipalities are social and economic development. Taking into consideration those evaluation results and obstacles, paths for carbon emission reduction are delineated through a four-quadrant matrix method with intent to provide suitable references for the development of a low-carbon economy in the YREB.

Research on Low Carbonization of Tourism and its Sustainable Development in Qinhuangdao City

2014 ◽  
Vol 926-930 ◽  
pp. 4302-4305
Author(s):  
Lian Long Wang
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Environmental Education ◽  
Carbon Emissions ◽  
Professional Knowledge ◽  
Building Energy ◽  
Energy Utilization ◽  
Low Carbon ◽  
Advantages And Disadvantages ◽  
City Tourism

Low carbon tourism is necessary and feasible by analyzing the advantages and disadvantages of low-carbon tourism in Qinhuangdao city. Tourism traffic and building energy consumption should be the key point of carbon emissions in the future tourism. Some suggestions have been raised up such as optimize the tourism energy utilization, construct and promote low-carbon tourism demonstration areas, make environmental education to the tourists through various means and low carbon tourism professional knowledge training to the employees, arouse the enthusiasm of residents to participate in low carbon travel, improve the system of norms and strengthen management, and so on.

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.

The Study on Carbon Emission Influencing Factors of Industrial Energy Consumption of Changchun City

2012 ◽  
Vol 164 ◽  
pp. 302-305
Author(s):  
Zhuo Ma ◽  
Xiao Gang He ◽  
Xun Zhou Tong ◽  
Hai Yan Duan ◽  
Xian En Wang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Industrial Development ◽  
Carbon Emission ◽  
Low Carbon ◽  
Industrial Energy ◽  
Emission Changes ◽  
Major Factors ◽  
Industrial Energy Consumption

To make great efforts for energy saving and promote low-carbon transition of industrial development pattern have been the most crucial tasks for Changchun industrial developmen. Using Logarithmic Mean Divisia Index (LMDI) mode decomposes the carbon emission influencing factors of the industrial department in Changchun, and study on the effects of factors on the carbon emissions of industrial energy consumption. The result shows that the major factors for carbon emissions of industrial energy consumption in Changchun are economic development, the population size and the industrialization rate, and the key factors for the carbon emission changes in industrial department of Changchun are the energy consumption structure and the energy intensity.

Assessing China's Digital Economy and Environmental Sustainability: A Regional Low-Carbon Perspective

2020 ◽  
Author(s):  
Xiuting Piao ◽  
Xuefeng Cui
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Environmental Sustainability ◽  
Economic Transformation ◽  
Digital Economy ◽  
Eastern Region ◽  
Low Carbon ◽  
Relative Contribution ◽  
The Impact

&lt;p&gt;Digital economy is becoming a new engine of China's economic transformation, leading a new path of green and low-carbon development. However, the positive and negative effects of the digital economy on the environment have also been widely debated. The energy consumption of China's digital economy industry is still increasing, but it has received little attention. This paper&amp;#160;studies the emerging links between digital economy and low-carbon sustainable development. Understanding the impact of the digital economy on carbon emissions is critical to addressing the challenges of climate change in the digital age.&lt;/p&gt;&lt;p&gt;By integrating input-output methods, this paper establishes a comprehensive framework to evaluate China's digital economy and environmental sustainable development. It can not only evaluate the carbon emissions in various sub-industries of the digital economy, but also reveal its formation and change mechanism by determining its source industries, transfer paths and economic drivers. Using STIRPAT model and provincial panel data from 2001 to 2016, this paper investigates the impact of the digital economy industry on carbon emissions at the national and regional levels. In addition, assess the carbon footprint of the entire digital industry, including the relative contribution of major infrastructure, core and integration components of the digital economy to carbon emissions. The results show that the digital economy helps reduce China's carbon emissions. The digital economy in the central region has a greater impact on carbon emissions than the eastern region, while the western region has unconspicuous impact. With the emergence of the digital economy in the energy system, energy consumption can be reduced and energy efficiency can be improved, which can help reduce carbon emissions in the energy sector, and contribute to the sector's carbon emission reduction goal of about 3%. The positive and negative impacts of the digital economy on the environment have resulted in an inverted U-shaped relationship between the digital economy and carbon emissions. The inflection point of the digital economy is slightly higher than the medium level, which means that carbon emissions may increase further with the development of the digital economy at this stage. Without control, the relative contribution of the digital economy to carbon emissions may exceed 10% by 2030. These findings not only help to advance the existing literature, but also deserve special attention from policy makers.&lt;/p&gt;

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