Exergoenvironmental Evaluation for a Coal-Fired Power Plant of Near-Zero Air Pollutant Emission

2017 ◽  
Author(s):  
Xiliang Hong ◽  
Jianhong Chen ◽  
Deren Sheng ◽  
Wei Li
Keyword(s):  
Environmental Impact ◽  
Power Plants ◽  
Air Pollutant ◽  
Pollutant Emission ◽  
Component Level ◽  
Large Space ◽  
Construction Design ◽  
Manufacturing Optimization ◽  
Energy Conversion Systems ◽  
High Benefit

Owing to the growing environmental concerns, super-critical and ultra-supercritical coal-fired power plants dominate the electricity generation with the demand of near-zero air pollutant emission in China. Therefore, it is highly expected to assess the environmental impact and optimize the design at global and local levels. Exergoenvironmental analysis is a valid approach to investigate the formation of environmental impacts (EIs) associated with energy conversion systems at the component level. It generates information crucial for designing systems with a lower overall environmental impact, based on life cycle assessment (LCA) and exergy analysis. A 600 MW supercritical coal-fired system with and without dust, SO2 and NOx mitigation controls was analyzed. Heat transfer in the boiler, condenser (CND), low pressure cylinder (LP), air preheater (APH) show high potential to decrease the environmental impact due to high exergy destructions. The deaerator (DEA), induced draft fan (IDF), forced draft fan (FDF) should be focussed on construction design and manufacturing optimization. Purification units reveal high benefit for reducing EI produced by coal combustion, but there is a large space for the EI saving for it. The specific EI of electricity in China is much greater than European.

scholarly journals Enhanced atmospheric oxidizing capacity in simulating air quality with updated emission inventories for power plants especially for haze periods over East China

2017 ◽  
Author(s):  
Lei Zhang ◽  
Tianliang Zhao ◽  
Sunling Gong ◽  
Shaofei Kong ◽  
Lili Tang ◽  
...  
Keyword(s):  
Air Quality ◽  
Power Plants ◽  
Emission Inventory ◽  
Environmental Changes ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Atmospheric Environment ◽  
Pollutant Emission ◽  
East China ◽  
Emission Inventories

Abstract. Air pollutant emissions play a determinant role in deteriorating air quality. However, an uncertainty in emission inventories is still the key problem for modeling air pollution. In this study, an updated emission inventory of coal-fired power plants (UEIPP) based on online monitoring data in Jiangsu province of East China for the year of 2012 was implemented in the widely used Multi-resolution Emission Inventory for China (MEIC). By employing the Weather Research and Forecasting Model with Chemistry (WRF-Chem), two simulations were executed to assess the atmospheric environmental change by using the original MEIC emission inventory and the MEIC inventory with the UEIPP. A synthetic analysis shows that (1) compared to the power emissions of MEIC, PM2.5, PM10, SO2 and NOx were lower, and CO, black carbon (BC), organic carbon (OC) and NMVOCs were higher in the UEIPP, reflecting a large discrepancy in the power emissions over East China; (2) In accordance with the changes of UEIPP, the modeled concentrations were reduced for SO2 and NO2, and increased for most areas of primary OC, BC and CO, whose concentrations in atmosphere are highly dependent on emission changes. (3) Interestingly, when the UEIPP was used, the atmospheric oxidizing capacity significantly reinforced, reflecting by increased oxidizing agents, e.g. O3 and OH, thus directly strengthened the chemical production from SO2 and NOx to sulfate and nitrate, which offset the reduction of primary PM2.5 emissions especially in the haze days. This study indicated the importance of updating air pollutant emission inventories in simulating the complex atmospheric environment changes with the implications on air quality and environmental changes.

The Evaluation of Air Pollutant Emission Reduction Effect of Port Handling and Distributing Facilities

2014 ◽  
Vol 1073-1076 ◽  
pp. 2719-2727
Author(s):  
Bing Qiao ◽  
Yi Chao Liu ◽  
Wei Jian He ◽  
Yu Jun Tian ◽  
Yue Li ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Emission Reduction ◽  
Power Plants ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Pollutant Emission ◽  
Cargo Handling ◽  
Inland River ◽  
Port Throughput

Based on methods of the fuel consumption, statistical and analogy analysis, the throughput amount method was established to calculate the emissions from port handling, and the minimum mileage method was established to estimate emissions from port cargo highway distributing. In the methods, some coefficients were used obtained by investigations: the current container handling emission factors of NOx, VOCs, CO, PM2.5 and SOx are 1.64, 0.21, 0.42, 0.01 and 0.29 t/TEU; the energy consumption of the unit throughput is 4.12 tons of standard coal per 104tons; the ratios of the unit non container cargoe handling energy consumption for coastal and inland river ports to those of container cargo are 0.631 and 0.405; the ratio of the unit non container cargoe highway distributing energy consumption to those of container cargo is 0.365. The calculation results show that the total emissions from the cargo handling and highway distributing of 2013 in China for NOx, VOCs, CO, PM2.5 and SOx are 54.365, 14.821, 24.631, 5.599 and 16.802 104tons, and the emissions from highway distributing are 4.21, 10.02, 8.24, 8.22 and 8.19 times of the emissions from port handling facilities. According to energy saving and emission reduction measures, formulas were established to calculate air pollutant emissions after the new added measures. Analyzing the real performance of the measures implemented since 2001 and predicting its trend of development, a scenario was designed, in which the Chinese port throughput continuously rises while the energy saving and emission reduction efforts gradually increase by 2020: the popularities of the energy saving measure of "oil changing to electricity" and the clean fuel measure of "oil changing to gas" reach 100% and 83%; the proportion of power plants with 95% desulfurization and denitrification reaches 100%; the energy saving and emission reduction efficiency of port cargo distributing optimization measures reaches 40%. Under this scenario, the prediction shows that during the port throughput increasing approximately 4.2 times from 2005 to 2020, the air pollutant emissions will be reduced significantly, returning to a lower level compared with 2005. The above methods and results can be used to support the decision-making and the implementation of emission reduction measures for the national, regional and port enterprises.

scholarly journals A high-resolution, spatially explicit estimate of fossil-fuel CO2 emissions from the Tokyo Metropolis, Japan

2020 ◽  
Author(s):  
Richao Cong ◽  
Makoto Saito ◽  
Tomohiro Oda ◽  
Tetsuo Fukui ◽  
Ryuichi Hirata ◽  
...  
Keyword(s):  
Climate Change ◽  
Spatial Data ◽  
Power Plants ◽  
Fossil Fuel ◽  
Ghg Emissions ◽  
Air Pollutant ◽  
Pollutant Emission ◽  
Spatially Explicit ◽  
Road Transportation ◽  
Emission Data

Abstract Background: The quantification of urban greenhouse gas (GHG) emissions is an important task in combating climate change. Emission inventories that include spatially explicit emission estimates facilitate the accurate tracking of emission changes, identification of emission sources, and formulation of policies for climate-change mitigation. Many currently available gridded emission estimates are based on the disaggregation of country- or state-wide emission estimates, which may be useful in describing city-wide emissions but are of limited value in tracking changes at subnational levels. Urban GHG emissions should therefore be quantified with a true bottom-up approach. Results: Multi-resolution, spatially explicit estimates of fossil-fuel carbon dioxide (FFCO2) emissions from the Tokyo Metropolis, Japan, were derived. Spatially explicit emission data were collected for point (e.g., power plants and waste incinerators), line (mostly traffic), and area (e.g., residential and commercial areas) sources. Emissions were mapped on the basis of emission rates calculated for source locations. Activity, emissions, and spatial data were integrated, and the results were visualized using a geographic information system approach. Conclusions: The annual total FFCO2 emissions from the Tokyo Metropolis in 2014 were 44,855 Gg CO2, with the road-transportation sector (16,323 Gg CO2) accounting for 36.4% of the total. Spatial emission patterns were verified via a comparison with the East Asian Air Pollutant Emission Grid Database for Japan (EAGrid-Japan), which demonstrated the applicability of this methodology to other prefectures and therefore the entire country.

scholarly journals Fluid-Dynamic Study of the Avilés Port. Remedial Measures on the Environmental Impact of the Exterior Storage of Powdery Products

Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1463
Author(s):  
Manuel Armindo Guerrero ◽  
Rubén Cordero ◽  
Julio Jorge ◽  
Francisco J. Vigil
Keyword(s):  
Environmental Impact ◽  
Fluid Dynamic ◽  
Air Pollutant ◽  
Dynamic Study ◽  
Pollutant Emission ◽  
Northern Coast ◽  
North East ◽  
Ansys Cfx ◽  
Surrounding Areas ◽  
Zinc Concentrate

Ports are one of the most commonly used places to perform the exterior storage of powdery products and as a consequence their surrounding areas usually face important problems of pollution. The Avilés Port, located in Asturias at the centre of the northern coast of Spain, asked for a fluid-dynamic study of their docks under the hypothesis of maximum capacity of powdery products, considering different piles of carbon, clinker, zinc concentrate and phosphates, in order to analyse: (a) the environmental impact under the two predominant winds in the port, east and north-east at the maximum wind speed, (b) different options of wind fences (location, gap to the piles, height and porosity) as a remedial measure, (c) the environmental impact of placing the proper wind fences along all the docks. The analyses were carried out by means of numerical simulation using the software ANSYS-CFX® and according to EPA “AP-42. Compilation of Air Pollutant Emission Factors” showed a pollutant emission reduction of 50% using the final strategy of wind fences decided by the Avilés Port Authority.

scholarly journals A high-resolution, spatially explicit estimate of fossil-fuel CO2 emissions from the Tokyo Metropolis, Japan

2021 ◽  
Author(s):  
Richao Cong ◽  
Makoto Saito ◽  
Tetsuo Fukui ◽  
Ryuichi Hirata ◽  
Akihiko Ito
Keyword(s):  
Climate Change ◽  
Spatial Data ◽  
Power Plants ◽  
Fossil Fuel ◽  
Ghg Emissions ◽  
Air Pollutant ◽  
Pollutant Emission ◽  
Spatially Explicit ◽  
Road Transportation ◽  
Emission Data

Abstract Background: The quantification of urban greenhouse gas (GHG) emissions is an important task in combating climate change. Emission inventories that include spatially explicit emission estimates facilitate the accurate tracking of emission changes, identification of emission sources, and formulation of policies for climate-change mitigation. Many currently available gridded emission estimates are based on the disaggregation of country- or state-wide emission estimates, which may be useful in describing city-wide emissions but are of limited value in tracking changes at subnational levels. Urban GHG emissions should therefore be quantified with a true bottom-up approach. Results: Multi-resolution, spatially explicit estimates of fossil-fuel carbon dioxide (FFCO2) emissions from the Tokyo Metropolis, Japan, were derived. Spatially explicit emission data were collected for point (e.g., power plants and waste incinerators), line (mostly traffic), and area (e.g., residential and commercial areas) sources. Emissions were mapped on the basis of emission rates calculated for source locations. Activity, emissions, and spatial data were integrated, and the results were visualized using a geographic information system approach.Conclusions: The annual total FFCO2 emissions from the Tokyo Metropolis in 2014 were 43,916 Gg CO2, with the road-transportation sector (16,323 Gg CO2) accounting for 37.2% of the total. Spatial emission patterns were verified via a comparison with the East Asian Air Pollutant Emission Grid Database for Japan (EAGrid-Japan) and the Open‐source Data Inventory for Anthropogenic CO2 (ODIAC), which demonstrated the applicability of this methodology to other prefectures and therefore the entire country.

scholarly journals A high-resolution, spatially explicit estimate of fossil-fuel CO2 emissions from the Tokyo Metropolis, Japan

2020 ◽  
Author(s):  
Richao Cong ◽  
Makoto Saito ◽  
Tetsuo Fukui ◽  
Ryuichi Hirata ◽  
Akihiko Ito
Keyword(s):  
Climate Change ◽  
Spatial Data ◽  
Power Plants ◽  
Fossil Fuel ◽  
Ghg Emissions ◽  
Air Pollutant ◽  
Pollutant Emission ◽  
Spatially Explicit ◽  
Road Transportation ◽  
Emission Data

Abstract Background: The quantification of urban greenhouse gas (GHG) emissions is an important task in combating climate change. Emission inventories that include spatially explicit emission estimates facilitate the accurate tracking of emission changes, identification of emission sources, and formulation of policies for climate-change mitigation. Many currently available gridded emission estimates are based on the disaggregation of country- or state-wide emission estimates, which may be useful in describing city-wide emissions but are of limited value in tracking changes at subnational levels. Urban GHG emissions should therefore be quantified with a true bottom-up approach. Results: Multi-resolution, spatially explicit estimates of fossil-fuel carbon dioxide (FFCO2) emissions from the Tokyo Metropolis, Japan, were derived. Spatially explicit emission data were collected for point (e.g., power plants and waste incinerators), line (mostly traffic), and area (e.g., residential and commercial areas) sources. Emissions were mapped on the basis of emission rates calculated for source locations. Activity, emissions, and spatial data were integrated, and the results were visualized using a geographic information system approach.Conclusions: The annual total FFCO2 emissions from the Tokyo Metropolis in 2014 were 43,916 Gg CO2, with the road-transportation sector (16,323 Gg CO2) accounting for 37.2% of the total. Spatial emission patterns were verified via a comparison with the East Asian Air Pollutant Emission Grid Database for Japan (EAGrid-Japan) and the Open‐source Data Inventory for Anthropogenic CO2 (ODIAC), which demonstrated the applicability of this methodology to other prefectures and therefore the entire country.

scholarly journals Air Pollutant Emission Abatement of the Fossil-Fuel Power Plants by Multiple Control Strategies in Taiwan

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5716
Author(s):  
Jiun-Horng Tsai ◽  
Shih-Hsien Chen ◽  
Shen-Fong Chen ◽  
Hung-Lung Chiang
Keyword(s):  
Electricity Generation ◽  
Power Plants ◽  
Fossil Fuel ◽  
Air Pollutant ◽  
Pollutant Emission ◽  
Nox Emissions ◽  
Multiple Control ◽  
Mean Values ◽  
Emission Abatement ◽  
Fossil Fuel Power Plants

This study is an investigation of air pollutant emission abatement in the electricity generation sector from fossil-fuel power plants in Taiwan in 2014 and 2018. PM concentrations are determined by the results of regular tests, while SOx and NOx are determined by continuous emission monitoring systems (CEMS) of flue gas from power plants. The results indicate that electricity generation from fossil-fuel power plants increased by 13.8% from 2014 to 2018. However, emissions of air pollutants from fossil-fuel power plants declined during this period. The results indicate that the annual emissions of SOx, NOx, and PM were 40,826, 59,196, and 5363 tons per year (TPY), respectively, in 2014. The emissions decreased to 30,097 TPY (28% reduction) for SOx, 48,530 TPY (18% reduction) for NOx, and 4496 TPY (16% reduction) for PM in 2018. The ensemble mean values of each air pollutant emission factor also decreased significantly. SOx emissions decreased from 0.2443 to 0.1583 mg/kWh (35% reduction). NOx emissions decreased from 0.3542 to 0.2552 g/kWh (28% reduction). PM emissions decreased from 0.0321 to 0.0236 mg/kWh (26.5% reduction). The results indicated that phasing out of high-pollutant generating units and switching the fuel from coal to natural gas could abate the emissions of SOx and PM, and NOx emissions could be abated by introducing control devices. In addition, new power generation sectors will be constructed and equipped with ultra-low emission control systems to reduce air pollution and create a cleaner and healthier electricity generation system in Taiwan.

scholarly journals A high-resolution, spatially explicit estimate of fossil-fuel CO2 emissions from the Tokyo Metropolis, Japan

2020 ◽  
Author(s):  
Richao Cong ◽  
Makoto Saito ◽  
Tetsuo Fukui ◽  
Ryuichi Hirata ◽  
Akihiko Ito
Keyword(s):  
Climate Change ◽  
Spatial Data ◽  
Power Plants ◽  
Fossil Fuel ◽  
Ghg Emissions ◽  
Air Pollutant ◽  
Pollutant Emission ◽  
Spatially Explicit ◽  
Road Transportation ◽  
Emission Data

Abstract Background: The quantification of urban greenhouse gas (GHG) emissions is an important task in combating climate change. Emission inventories that include spatially explicit emission estimates facilitate the accurate tracking of emission changes, identification of emission sources, and formulation of policies for climate-change mitigation. Many currently available gridded emission estimates are based on the disaggregation of country- or state-wide emission estimates, which may be useful in describing city-wide emissions but are of limited value in tracking changes at subnational levels. Urban GHG emissions should therefore be quantified with a true bottom-up approach. Results: Multi-resolution, spatially explicit estimates of fossil-fuel carbon dioxide (FFCO2 ) emissions from the Tokyo Metropolis, Japan, were derived. Spatially explicit emission data were collected for point (e.g., power plants and waste incinerators), line (mostly traffic), and area (e.g., residential and commercial areas) sources. Emissions were mapped on the basis of emission rates calculated for source locations. Activity, emissions, and spatial data were integrated, and the results were visualized using a geographic information system approach. Conclusions: The annual total FFCO2 emissions from the Tokyo Metropolis in 2014 were 44,855 Gg CO2 , with the road-transportation sector (16,323 Gg CO2 ) accounting for 36.4% of the total. Spatial emission patterns were verified via a comparison with the East Asian Air Pollutant Emission Grid Database for Japan (EAGrid-Japan), which demonstrated the applicability of this methodology to other prefectures and therefore the entire country.

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