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 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 Prospects of using new technologies in Russia’s electric power industry to comply with international commitments to reduce CO2 emissions

2018 ◽  
Vol 58 ◽  
pp. 03007
Author(s):  
Alexey Tchemezov ◽  
Elena Chemezova ◽  
Anton Syromyatnikov
Keyword(s):  
Electric Power ◽  
Power Plants ◽  
New Technologies ◽  
Thermal Power ◽  
Electric Power Industry ◽  
Power Industry ◽  
International Commitments ◽  
Russian Region ◽  
Emission Of Greenhouse Gases

This study addresses the methodology of projecting the electric power industry developments, taking into account environmental constraints. I obtained quantitative assessments of long-term electric power industry development in a Russian region, determined the emission of greenhouse gases from fuel combustion at thermal power plants (TPPs), and the efficiency of technologies to reduce greenhouse gas emissions in the electric power industry.

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 Identifying the Key Factors Influencing Technology Management in the Power Plant and Electric Power Industry, and Prioritizing Factors Using Network Analytical Process (ANP): Evidence from MAPNA Group

2021 ◽  
Author(s):  
abbas khamseh ◽  
maryam kheradranjbar
Keyword(s):  
Technology Management ◽  
Electric Power ◽  
Power Plants ◽  
Electric Power Industry ◽  
Power Industry ◽  
Structural Equations ◽  
Influential Factors ◽  
Research Model ◽  
Key Factors ◽  
Final Questionnaire

Abstract This research has been conducted in order to identify and determine the order of influential factors on technology management in MAPNA Group. After studying the related literature and collecting conducted researches and experts’ opinions, 71 influential indicators were identified in the technology management of power plants and the electric power industry. Afterward, the opinions of experts in the industry and university concerning the influence of these factors were collected by designing a questionnaire and using Likert scaling, and next, decisions were made regarding these indicators. After this process, 51 indicators were approved and categorized into 6 factors and 12 dimensions, based on which the final questionnaire was designed and distributed among 32 managers and experts of MAPNA Group. Using structural equations and Smart PLS software, the research model was fitted and ultimately, surface six indicators were approved for the designed model. Also, the ANP technique was utilized in order to determine the order of factors and the result illustrated that factors namely “propagation“ and “acquisition“ were given the 1st and 2nd order respectively and factor “protection“ was given the last order. According to the conducted researches in the technology management of MAPNA Group, all six facts factors have a significant influence on technology management and hence, all six factors must be paid attention to. In case such a thing does not happen, reaching success in technology management will fail.

scholarly journals Modern Features of Price Formation on the Reactive Power Market

2021 ◽  
Vol 288 ◽  
pp. 01075
Author(s):  
Vladimir Kolibaba ◽  
Konstantin ZHabin ◽  
Anatolij Kolesnikov ◽  
Sergey Filin ◽  
Maksim Maksimov ◽  
...  
Keyword(s):  
Electric Power ◽  
Power Plants ◽  
Reactive Power ◽  
Electric Power Industry ◽  
Power Market ◽  
Power Industry ◽  
Economic Problem ◽  
Organizational Mechanism ◽  
Reactive Power Market ◽  
Selection Of

This article discusses the specific features of such a product as reactive power. The degree of reactive power compensation both in the domestic electric power industry and in most industrialized countries is clearly insufficient. The possibilities available in electric grids, at power plants and at consumers of electricity for coordinated regulation of reactive power and voltage levels are not fully used. The main factors influencing the formation of the reactive power market in the electric power industry are revealed. The proposed market is based on the organization and implementation of qualified selection of reactive power suppliers. The scheme of the price bid of reactive power suppliers, developed on the fundament of the cost structure of various types of reactive power suppliers is proposed. Rational regulation of reactive power is currently not considered as an economic problem, but it is one of the main tools for managing the efficiency of EPS. The proposed organizational mechanism of pricing for reactive power and the qualified selection of its suppliers is aimed at determining the range of suppliers of reactive power capable of meeting the demand for it with the least costs, as well as to stimulate investments in the construction of new sources of reactive power.

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