scholarly journals Integrated Planning for Regional Electric Power System Management with Risk Measure and Carbon Emission Constraints: A Case Study of the Xinjiang Uygur Autonomous Region, China

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 601 ◽  
Author(s):  
Yulei Xie ◽  
Zhenghui Fu ◽  
Dehong Xia ◽  
Wentao Lu ◽  
Guohe Huang ◽  
...  
Keyword(s):  
Electric Power ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Capture ◽  
Risk Measure ◽  
Electric Power Industry ◽  
Power Industry ◽  
Electric Power System ◽  
Total Carbon ◽  
Carbon Reduction

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.

scholarly journals Detecting and Understanding Synergies and Co-Benefits of Low Carbon Development in the Electric Power Industry in China

2019 ◽  
Vol 12 (1) ◽  
pp. 297 ◽  
Author(s):  
Ping Jiang ◽  
Adila Alimujiang ◽  
Hongjia Dong ◽  
Xiaoyu Yan
Keyword(s):  
Electric Power ◽  
Air Pollutants ◽  
Emission Reduction ◽  
Power Plants ◽  
Fine Particles ◽  
Electric Power Industry ◽  
Power Industry ◽  
Control Measures ◽  
Air Pollution Control ◽  
Carbon Reduction

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.

scholarly journals Quota Allocation for Carbon Emissions in China′s Electric Power Industry Based Upon the Fairness Principle

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2256 ◽  
Author(s):  
Ming Meng ◽  
Lixue Wang ◽  
Qu Chen
Keyword(s):  
Electric Power ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Electric Power Industry ◽  
Power Industry ◽  
Total Carbon ◽  
Carbon Mitigation ◽  
Power Sector ◽  
Quota Allocation ◽  
Electric Power Sector

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.

An Analysis of Simulation System of CO2 Emission and Emission Reduction Paths in Chongqing’s Electric Power Industry

2014 ◽  
Vol 700 ◽  
pp. 431-436
Author(s):  
Min Tang ◽  
Shi Yong Zhang ◽  
Li Ping Wang
Keyword(s):  
Electric Power ◽  
Emission Reduction ◽  
Electricity Generation ◽  
Goodness Of Fit ◽  
Historical Data ◽  
Electric Power Industry ◽  
Power Industry ◽  
Simulation System ◽  
Dynamics Simulation ◽  
To Come

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.

Energy conservation and emission reduction of China’s electric power industry

2015 ◽  
Vol 45 ◽  
pp. 10-19 ◽  
Author(s):  
Kaile Zhou ◽  
Shanlin Yang ◽  
Chao Shen ◽  
Shuai Ding ◽  
Chaoping Sun
Keyword(s):  
Energy Conservation ◽  
Electric Power ◽  
Emission Reduction ◽  
Electric Power Industry ◽  
Power Industry

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
Keyword(s):  
Electric Power ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Electric Power Industry ◽  
Power Industry ◽  
Emissions Reduction ◽  
Entropy Weight ◽  
Emission Permits ◽  
Allocation Model ◽  
Carbon Emissions Reduction

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.

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