scholarly journals Research on PM2.5 emission reduction path of China ‘s electric power industry based on DEA model

Author(s):  
Yanming Jin ◽  
Fan Yang ◽  
Jun Liu
2014 ◽  
Vol 700 ◽  
pp. 431-436
Author(s):  
Min Tang ◽  
Shi Yong Zhang ◽  
Li Ping Wang

This paper predicts and analyzes the output, energy consumption and CO2emission in Chongqing’s electric power industry in 16 years to come using a dynamics simulation system of carbon emission. A comparison with historical data indicates a desirable goodness of fit of the simulated results, which show that the power generation in Chongqing will reach the peak of about 180 billion KWH in 2020 and 378 billion KWH in 2030, followed by a steady rise in the following 15 years; the per capita power consumption will reach 5350 KWH in 2020 and 12,000 KWH in 2030; the CO2emission will reach about 102,200,000 tons in 2020 and about 232,600,000 tons in 2030; the CO2emission per unit electricity generation will reach 570gco2/kwh in 2020 and about 620gco2/kwh in 2030. Based on the data, this paper analyzes the influence of different technical paths and policy options on emission in various developmental scenarios, and proposes specific paths for emission reduction.


2015 ◽  
Vol 45 ◽  
pp. 10-19 ◽  
Author(s):  
Kaile Zhou ◽  
Shanlin Yang ◽  
Chao Shen ◽  
Shuai Ding ◽  
Chaoping Sun

2021 ◽  
Vol 267 ◽  
pp. 01008
Author(s):  
Chao Ma

The paper aims to further explore the current situation of Chinese investment in overseas clean energy and analyze the development of the power industry in the field of clean energy. The paper elaborates the present development status of clean energy based on the Data Envelopment Analysis (DEA) model and investment efficiency theories, analyzing the potential risks taken by China’s electric power industry from the investment in overseas clean energy and calculating the power enterprises’ investment efficiency. The results reveal that China’s overseas investment in clean energy has developed rapidly. However, from 2016 to 2017, due to the accelerated investment in clean energy, the comprehensive investment efficiency of clean energy has dropped significantly, to 79.1% and 78.7%, respectively. Subsequently, the comprehensive investment efficiency increased significantly, reaching 80.4% in 2019. Between 2015 and 2019, effective investment in clean energy has reached the highest, 32% in 2015, while there are more ineffective investments in 2016. After 2017, the proportion of power enterprises’ investment in clean energy has increased significantly, accounting for 32% in 2019. In future development, the proportion of investment in this field will continue to rise. Hence, clean energy boasts good development prospects.


2019 ◽  
Vol 12 (1) ◽  
pp. 297 ◽  
Author(s):  
Ping Jiang ◽  
Adila Alimujiang ◽  
Hongjia Dong ◽  
Xiaoyu Yan

China’s electric power industry contributes a significant amount of carbon emissions as well as air pollutants such as SO2, NOx, and fine particles. In order to detect co-benefits of carbon reduction and air pollution control, this study analyzed the emission reduction, emission reduction factors, and synergistic effect factors of technical and structural emission reduction measures in the electric power industry in the Jiangsu, Zhejiang, and Yunnan provinces and Shanghai City. The main findings are: (1) the structural emission reduction measures in all four regions had positive co-control effects. Therefore, promoting renewables can achieve remarkable co-benefits; (2) the result demonstrated that the direct removal ability of pollutants by technical emission reduction measures was better than the structural emission reduction measures in all four case studies. However, there were no or few carbon reduction co-benefits associated with their utilization; (3) in all cases, CO2 had the highest emission factor value, which means that there is still room for synergistic carbon reduction; (4) air pollutants and CO2 emission intensity from the Yunnan power plants were much higher than that of the other three regions. In order to achieve the overall co-benefits, co-control measures should be promoted and strengthened in western areas such as Yunnan.


Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 601 ◽  
Author(s):  
Yulei Xie ◽  
Zhenghui Fu ◽  
Dehong Xia ◽  
Wentao Lu ◽  
Guohe Huang ◽  
...  

With the carbon reduction targets being set in the Paris Agreement on Climate Change, China is facing great pressure to meet its emission reduction commitment. The electric power industry as the major source of carbon emissions needs to be a focus. However, the uncertainty of power systems, the risk of reducing emissions and the fuzziness of carbon capture technology popularization rate and carbon reduction targets makes previous planning methods unsatisfactory for current planning. This paper establishes an interval fuzzy programming with a risk measure model which takes carbon capture technology and carbon reduction targets into account, to ensure that the complex electric management system achieves the best developmental state. It was concluded that in order to reduce carbon emissions, wind power and hydropower would be the best choices, and coal-fired power would be the suboptimal choice, and solar power would play a complementary role. Besides, decision makers should put much more effort into promoting and improving carbon capture technology instead of simply setting emission reduction targets. The non-synchronism of the downward trend in carbon emissions per unit of electricity generation and electric power industry total carbon emissions need to be taken seriously.


Energy Policy ◽  
2011 ◽  
Vol 39 (6) ◽  
pp. 3669-3679 ◽  
Author(s):  
Li Li ◽  
Zhongfu Tan ◽  
Jianhui Wang ◽  
Jun Xu ◽  
Chengkai Cai ◽  
...  

2015 ◽  
Vol 733 ◽  
pp. 309-312
Author(s):  
Hai Tian Sun ◽  
Ming Liang Zhao ◽  
Ning Wang ◽  
Hong Lei Shi ◽  
Yan Liu

Recently, energy saving and emission reduction get more attention in the world, electric power industry is one of the major sectors of energy consumption. The national government has issued a series of related policies and regulations to change the power structure and control pollutant emissions, in order to improve the level of energy conservation and emission reduction. Some problems exist in the current policies and regulations. This paper puts forward measures and suggestions to strengthen energy conservation and emission reduction.


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