scholarly journals Installation Planning in Regional Thermal Power Industry for Emissions Reduction Based on an Emissions Inventory

2019 ◽  
Vol 16 (6) ◽  
pp. 938 ◽  
Author(s):  
Yu Zhang ◽  
Jiayu Wu ◽  
Chunyao Zhou ◽  
Qingyu Zhang
Keyword(s):  
Energy Consumption ◽  
Thermal Power ◽  
Power Industry ◽  
Pollutant Emissions ◽  
Emissions Reduction ◽  
Air Pollution Control ◽  
Coal Consumption ◽  
Emissions Inventory ◽  
Installed Capacity

Exploring suitable strategies for air pollution control, while still maintaining sustainable development of the thermal power industry, is significant for the improvement of environmental quality and public health. This study aimed to establish a coupling relationship between installed capacity versus energy consumption and pollutant emissions, namely the installed efficiency, and to further provide ideas and methods for the control of regional air pollutants and installation planning. An inventory of 338 installed thermal power units in the Jing-Jin-Ji Region in 2013 was established as a case study, and comparisons were made by clustering classification based on the installed efficiencies of energy consumption and pollutant emissions. The results show that the thermal power units were divided into five classes by their installed capacity: 0–50, 50–200, 200–350, 350–600, and 600+ MW. Under the energy conservation and emissions reduction scenario, with the total installed capacity and the power generation generally kept constant, the coal consumption was reduced by 17.1 million tons (8.7%), and the total emissions were reduced by 79.8% (SO2), 84.9% (NOx), 60.9% (PM), and 59.5% (PM2.5).

China Power Source Structure and CO2 Emissions Reduction

2011 ◽  
Vol 361-363 ◽  
pp. 946-953
Author(s):  
Yu Ze Jiang ◽  
Yan Zhao Yang ◽  
Qing Wei Guo
Keyword(s):  
Wind Power ◽  
Energy Production ◽  
Nuclear Power ◽  
Thermal Power ◽  
Clean Energy ◽  
Power Source ◽  
Emissions Reduction ◽  
Hydroelectric Power ◽  
Installed Capacity ◽  
Source Structure

According to the statistics data and planning material from the authority, the power source structure of China is analyzed and the clean power prospect is forecasted, which aim to explore occurring to CO2emissions reduction in the power industry. Based on The national greenhouse gas list guide published by Inter-governmental Panel on Climate Change (IPCC) in 2006, the trend of clean energy reduction CO2is predicted. In recent years, the clean energy power is developing quickly, while the share of thermal power gradually declines. By the end of 2010, the percent of thermal power in the total installed capacity is 73.44%, while the hydropower, and wind power and nuclear power accounts for 26.53%. The contribution of thermal power to generated energy is 80.76%, while the clean power is 19.22%. The capacity of thermal power unit with above 300 MW is predominate, accounting for 80%. In 2020, the installed capacity of hydroelectric power, wind power and nuclear power will reach 402 million kW, 150 million kW and 70 million kW, respectively. The corresponding annual energy production of three kinds of clean energy can reach 1.75 trillion kW•h, 314.55 billion kW•h, and 554.68 billion kW•h, which can reduce CO2emissions 1534, 276, 486 million tons, respectively. It is estimated that a total of 2.296 billion tons CO2emissions will be reduced in 2020.

scholarly journals Trend and characteristics of atmospheric emissions of Hg, As, and Se from coal combustion in China, 1980–2007

2010 ◽  
Vol 10 (9) ◽  
pp. 20729-20768 ◽  
Author(s):  
H. Z. Tian ◽  
Y. Wang ◽  
Z. G. Xue ◽  
K. Cheng ◽  
Y. P. Qu ◽  
...  
Keyword(s):  
Trace Elements ◽  
Coal Combustion ◽  
Power Plants ◽  
Thermal Power ◽  
Industrial Sector ◽  
Air Pollution Control ◽  
Atmospheric Emissions ◽  
Economic Sectors ◽  
Coal Consumption ◽  
Hazardous Trace Elements

Abstract. Emissions of hazardous trace elements in China are of great concern because of their negative impacts on local air quality as well as on regional environmental health and ecosystem risks. In this paper, the atmospheric emissions of mercury (Hg), arsenic (As), and selenium (Se) from coal combustion in China for the period 1980–2007 are estimated on the basis of coal consumption data and emission factors, which are specified by different categories of combustion facilities, coal types, and the equipped air pollution control devices configuration (Dust collectors, FGD, etc.). Specifically, multi-year emission inventories of Hg, As, and Se from 30 provinces and 4 economic sectors (thermal power, industry, residential use, and others) are evaluated and analyzed in detail. Furthermore, the gridded distribution of provincial-based Hg, As, and Se emissions in 2005 at a resolution of 1°×1° is also plotted. It shows that the calculated national total atmospheric emissions of Hg, As, and Se from coal combustion have rapidly increased from 73.59 t, 635.57 t, and 639.69 t in 1980 to 305.95 t, 2205.50 t, and 2352.97 t in 2007, at an annually averaged growth rate of 5.4%, 4.7%, and 4.9%, respectively. The industrial sector is the largest source for Hg, As, and Se, accounting for about 50.8%, 61.2%, and 56.2% of the national totals, respectively. The share of power plants is 43.3% for mercury, 24.9% for arsenic, and 33.4% for selenium, respectively. Also, it shows remarkably different regional contribution characteristics of these 3 types of trace elements, the top 5 provinces with the heaviest mercury emissions in 2007 are Shandong (34.40 t), Henan (33.63 t), Shanxi (21.14 t), Guizhou (19.48 t), and Hebei (19.35 t); the top 5 provinces with the heaviest arsenic emissions in 2007 are Shandong (219.24 t), Hunan (213.20 t), Jilin (141.21 t), Hebei (138.54 t), and Inner Mongolia (127.49 t); while the top 5 provinces with the heaviest selenium emissions in 2007 are Shandong (289.11 t), Henan (241.45 t), Jiangsu (175.44 t), Anhui (168.89 t), and Hubei (163.96 t). Between 2000 and 2007, provinces always rank at the top five largest Hg, As, and Se emission sources are: Shandong, Hebei, Shanxi, Henan, and Jiangsu, most of which are located in the east and are traditional industry-based or economically energy intensive areas in China. Notably, Hg, As, and Se emissions from coal combustion in China begin to grow at a more moderate pace since 2005. Emissions from coal-fired power plants sector began to decrease though the coal use had been increasing steadily, which can be mainly attributed to the more and more installation of WFGD in power plants, thus the further research and control orientations of importance for these hazardous trace elements should be the industrial sector.

scholarly journals A Method to Assess and Reduce Pollutant Emissions of Logistic Transportation under Adverse Weather

2019 ◽  
Vol 11 (21) ◽  
pp. 5961
Author(s):  
Mingkong Zhang ◽  
Xiaobing Hu ◽  
Jingai Wang
Keyword(s):  
Traffic Management ◽  
Hainan Island ◽  
Calculation Model ◽  
Sustainable Transportation ◽  
Path Optimization ◽  
Pollutant Emissions ◽  
Emissions Reduction ◽  
Adverse Weather ◽  
Total Vehicle

With the increase of vehicle activities and adverse weather under the background of modernization and global warming, more attention should be paid to vehicle emissions reduction in such circumstances for environmental protection and sustainable transportation. Different from some typical measures, e.g., relevant government policies, improvement of vehicle hardware technologies, and optimization of traffic management, this paper develop a new method based on emergency path optimization to evaluate and reduce pollutant emissions of logistic transportation under adverse weather. Firstly, we establish a calculation model of pollutant emissions (LT-PE model) to calculate the amount of vehicle pollutant emissions produced under adverse weather. Then, a co-evolving path optimization (CEPO) method-based ripple-spreading algorithm is proposed in order to reduce pollutant emissions. To validate the effectiveness of the proposed method, this paper selects fruit logistics transportation affected by typhoon in China’s Hainan Island as a case study. The results show that total vehicle pollutant emissions from the fruit transportation of 35 farms under the typhoon are 28.1% more than when there is no typhoon. The proposed method can reduce pollutant emissions by 21.2% compared with the traditional methods under typhoon.

Generation Resource Planning Optimization Model under Emission Constraint

2013 ◽  
Vol 772 ◽  
pp. 868-871
Author(s):  
Sun Lei ◽  
Zhong Fu Tan ◽  
Li Wei Ju ◽  
He Yin ◽  
Zhi Hong Chen
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Optimization Model ◽  
Resource Planning ◽  
Power Industry ◽  
Pollutant Emissions ◽  
Total System ◽  
Planning Optimization ◽  
Pollutants Emission ◽  
Generation Capacity

As a large energy consumption and pollutants emission department, power industry energy saving and emission reduction is of great significance for the community's overall energy consumption and pollutants emission control. As the main energy saving measures of the power industry, optimize the structure of power based on grid-connected renewable energy. Therefore, this article is based on energy distribution in China, considering load, electricity, resources, environmental pollution and the unit served, target is the total system power generation installed capacity and pollutant emissions at minimum costs, to construct generation resource planning optimization model under emission constraint, install generation capacity costs, running costs and the cost of pollutant emissions will be take into account, in order to make reasonable recommendations on power resource planning in China.

scholarly journals Trend and characteristics of atmospheric emissions of Hg, As, and Se from coal combustion in China, 1980–2007

2010 ◽  
Vol 10 (23) ◽  
pp. 11905-11919 ◽  
Author(s):  
H. Z. Tian ◽  
Y. Wang ◽  
Z. G. Xue ◽  
K. Cheng ◽  
Y. P. Qu ◽  
...  
Keyword(s):  
Trace Elements ◽  
Coal Combustion ◽  
Power Plants ◽  
Thermal Power ◽  
Industrial Sector ◽  
Air Pollution Control ◽  
Atmospheric Emissions ◽  
Economic Sectors ◽  
Coal Consumption ◽  
Hazardous Trace Elements

Abstract. Emissions of hazardous trace elements in China are of great concern because of their negative impacts on local air quality as well as on regional environmental health and ecosystem risks. In this paper, the atmospheric emissions of mercury (Hg), arsenic (As), and selenium (Se) from coal combustion in China for the period 1980–2007 are estimated on the basis of coal consumption data and emission factors, which are specified by different categories of combustion facilities, coal types, and the equipped air pollution control devices configuration (Dust collectors, FGD, etc.). Specifically, multi-year emission inventories of Hg, As, and Se from 30 provinces and 4 economic sectors (thermal power, industry, residential use, and others) are evaluated and analyzed in detail. Furthermore, the gridded distribution of provincial-based Hg, As, and Se emissions in 2005 at a resolution of 1° × 1° is also plotted. It shows that the calculated national total atmospheric emissions of Hg, As, and Se from coal combustion have rapidly increased from 73.59 t, 635.57 t, and 639.69 t in 1980 to 305.95 t, 2205.50 t, and 2352.97 t in 2007, at an annually averaged growth rate of 5.4%, 4.7%, and 4.9%, respectively. The industrial sector is the largest source for Hg, As, and Se, accounting for about 50.8%, 61.2%, and 56.2% of the national totals, respectively. The share of power plants is 43.3% for mercury, 24.9% for arsenic, and 33.4% for selenium, respectively. Also, it shows remarkably different regional contribution characteristics of these 3 types of trace elements, the top 5 provinces with the heaviest mercury emissions in 2007 are Shandong (34.40 t), Henan (33.63 t), Shanxi (21.14 t), Guizhou (19.48 t), and Hebei (19.35 t); the top 5 provinces with the heaviest arsenic emissions in 2007 are Shandong (219.24 t), Hunan (213.20 t), Jilin (141.21 t), Hebei (138.54 t), and Inner Mongolia (127.49 t); while the top 5 provinces with the heaviest selenium emissions in 2007 are Shandong (289.11 t), Henan (241.45 t), Jiangsu (175.44 t), Anhui (168.89 t), and Hubei (163.96 t). Between 2000 and 2007, provinces always rank at the top five largest Hg, As, and Se emission sources are: Shandong, Hebei, Shanxi, Henan, and Jiangsu, most of which are located in the east and are traditional industry-based or economically energy intensive areas in China. Notably, Hg, As, and Se emissions from coal combustion in China begin to grow at a more moderate pace since 2005. Emissions from coal-fired power plants sector began to decrease though the coal use had been increasing steadily, which can be mainly attributed to the increasing use of wet flue gas desulfurization (WFGD) in power plants, thus the further research and control orientations of importance for these hazardous trace elements should be the industrial sector.

MFA Study on Typical Energy (Coal) Chemical Base — Ningdong Case

2011 ◽  
Vol 361-363 ◽  
pp. 910-915
Author(s):  
Peng Shen ◽  
Jing Ye ◽  
Ze Qiang Fu ◽  
Bao Gao
Keyword(s):  
Material Flow ◽  
Building Materials ◽  
Thermal Power ◽  
Flow Analysis ◽  
Material Flow Analysis ◽  
Pollutant Emissions ◽  
Industrial Chain ◽  
Special Region

Energy (coal) chemical base refers to the industrial cluster which is mainly formed by coal, thermal power, coal chemical and building materials industries within a special region. The constructions of energy (coal) chemical bases promote the in situ conversion of coal resources, reducing water and material consumption as well as pollutant emissions. Through the material flow analysis, the input and output relationship within energy (coal) chemical-base was carried out in this article. And combined with case study, recommendations of key technologies to perfect the energy (coal) chemical-based industrial chain were proposed, so as to promote environmental protection.

Analysis on Estimation of PM2.5 Emissions on Coal-Fired Generating Unit

2015 ◽  
Vol 713-715 ◽  
pp. 1248-1251
Author(s):  
Xiao Zheng Han ◽  
Qing Qing Wang
Keyword(s):  
Quantitative Analysis ◽  
Power Industry ◽  
Coal Consumption ◽  
Technical Specifications ◽  
Installed Capacity ◽  
Pm2.5 Emissions

s:Hebei’s Coal-fired generating Unit PM2.5 Emissions on Coal-fired generating Unit were estimation according to the method from “Technical Specifications of power industry and cement sector’s PM2.5 emissions (consultation)”. Quantitative analysis the relation of boiler tonnage, installed capacity, coal consumption with PM2.5 emissions.

Research on energy-saving and emissions reduction efficiency in Chinese thermal power companies

2019 ◽  
Vol 31 (5) ◽  
pp. 903-919
Author(s):  
Yue Xu ◽  
Zebin Wang ◽  
Yung-Ho Chiu ◽  
Fangrong Ren
Keyword(s):  
Energy Saving ◽  
Production Technology ◽  
Thermal Power ◽  
Power Industry ◽  
Primary Sources ◽  
Medium Size ◽  
Emissions Reduction ◽  
Low Carbon ◽  
Performance Loss ◽  
Size Groups

In a low-carbon economic environment, China’s thermal power industry has developed at a rapid speed. Faced with significant development bottlenecks, however, promoting energy conservation and technological innovation has become the current goals of the country’s thermal power industry. Taking into account the heterogeneity of production technology, we utilize panel data of 23 listed thermal power companies in the Shanghai and Shenzhen stock markets from 2010 to 2015 as samples and divide them into large, medium, and small groups according to company size. Based on a meta-frontier function and the non-radial data envelopment analysis method, we evaluate the performance of energy-saving and emissions reduction in the thermal power industry when considering slack variables of energy input and undesirable output. The empirical study’s results show that the mean energy-saving and emissions reduction performance in this power industry is generally low and exhibits significant differences under different frontiers. The performance of energy-saving and emissions reduction from high to low is small, large, and medium-size groups. The small-size group seems to obtain the industry-leading level production technology. Moreover, the technology gap and insufficient management are the primary sources of the total performance loss.

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