scholarly journals Allocation Model of Carbon Emission Permits for the Electric Power Industry with a Combination Subjective and Objective Weighting Approach

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 706 ◽  
Author(s):  
Xianxian Pan ◽  
Hong Liu ◽  
Jiajia Huan ◽  
Yu Sui ◽  
Haifeng Hong

The electric power industry plays a vital role in carbon emissions reduction efforts. The initial allocation of carbon emission permits to the electric power industry is the key to ensuring the effective operation of the carbon trading market. In this study, the multiple correlated factors that affect the carbon emission permit allocation system were extracted. Then, based on the experts’ knowledge and experience, the subjective weight of each index was determined using an improved analytic hierarchy process. Subsequently, the indices were mapped using an improved entropy weight method, and the objective weight of each index was adaptively determined. Finally, the comprehensive weight of each index was determined by optimizing the combination of its subjective and objective weights, and an allocation model of carbon emission permits for the electric power industry was established. A case study of a province by comparative simulation was performed. The simulation results showed that compared with conventional allocation schemes that consider single factors, the theoretical estimates obtained using the proposed model more objectively reflected the actual situation of carbon emissions reduction permits and responsibilities in the region.

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2256 ◽  
Author(s):  
Ming Meng ◽  
Lixue Wang ◽  
Qu Chen

As an essential measure to mitigate the CO2 emissions, China is constructing a nationwide carbon emission trading (CET) market. The electric power industry is the first sector that will be introduced into this market, but the quota allocation scheme, as the key foundation of market transactions, is still undetermined. This research employed the gross domestic product (GDP), energy consumption, and electric generation data of 30 provinces from 2001 to 2015, a hybrid trend forecasting model, and a three-indicator allocation model to measure the provincial quota allocation for carbon emissions in China′s electric power sector. The conclusions drawn from the empirical analysis can be summarized as follows: (1) The carbon emission peak in China′s electric power sector will appear in 2027, and peak emissions will be 3.63 billion tons, which will surpass the total carbon emissions of the European Union (EU) and approximately equal to 2/3 of the United States of America (USA). (2) The developed provinces that are supported by traditional industries should take more responsibility for carbon mitigation. (3) Nine provinces are expected to be the buyers in the CET market. These provinces are mostly located in eastern China, and account for approximately 63.65% of China′s carbon emissions generated by the electric power sector. (4) The long-distance electric power transmission shifts the carbon emissions and then has an impact on the quotas allocation for carbon emissions. (5) The development and effective utilization of clean power generation will play a positive role for carbon mitigation in China′s electric sector.


2013 ◽  
Vol 869-870 ◽  
pp. 399-403
Author(s):  
Yong Chen ◽  
Ji Gan Wang ◽  
Jie Zhang ◽  
Chuan Yu Liu ◽  
Shu Shu Huang

As the biggest carbon emitters, the power industry is the primary object to reduce its emissions. The construction of power industry carbon emissions of regional initial allocation model can make the development of power industry meets the new requirements of reducing the carbon emission, which has important theoretical significance and practical value. The index system of carbon emissions permits regional allocation was established, which included 5 factors-economy, technology, policy, carbon emissions and energy efficiency. Based on the projection method, considered the characteristics of multiple-goal of carbon emission permits allocation and precision of index value, the projection interval multi-objective allocation method was put forward. East China carbon emission allocation in power industry was taken as an example. The result shows that the model can be more rational, scientific to provide a theoretical reference for regional allocation of electric carbon emissions.


2014 ◽  
Vol 1073-1076 ◽  
pp. 2624-2629
Author(s):  
Xiao Xuan Zhang ◽  
Li Ma ◽  
Su Yang ◽  
Tao Cai

As an important part of energy industry, power grid plays a pivotal and irreplaceable role in promoting low-carbon development. In this paper, the carbon emission reduction potential of power grid corporation was systematically analyzed from qualitative and quantitative perspectives respectively. First, this paper discussed the pathways of power grid corporation’s carbon emissions reduction, including decreasing line loss, promoting clean energy development, and so on. Then, a quantitative evaluation model for carbon emissions reduction potential of power grid corporation was developed. Based on the model, the carbon emission reduction benefits that promoted and achieved by State Grid Corporation of China (SGCC) in 2010 and 2015 were calculated. The results show that the carbon emission reduction benefits of SGCC is 138 million tons in 2010, and will be 481.8 million tons in 2015.


2020 ◽  
Vol 12 (7) ◽  
pp. 2627
Author(s):  
Guofeng Wang ◽  
Maolin Liao ◽  
Jie Jiang

Carbon emissions and strategies for reducing them have become hot topics in recent years. This study firstly measured the total amount and the intensity of agricultural carbon emissions (i.e., agricultural carbon emission per capital) in China. The results show that China’s total carbon emission in 2016 was 272.022 million tons, which is 26.67% more than that in 2000, with an average annual increase of 1.67%. It then compared the regional differences of agricultural carbon emissions in China using the method of coefficient of variation and the Theil index. Following this, this paper finally provides scientific and technological support for the reduction of agricultural carbon emissions in China based on a matrix of carbon emission reduction strategies.


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