Terminology and batch formulation in coke production

2014 ◽  
Vol 57 (1) ◽  
pp. 1-4 ◽  
Author(s):  
B. P. Kiselyev
2013 ◽  
Vol 849 ◽  
pp. 380-386 ◽  
Author(s):  
Ren Jin Sun ◽  
Keng H. Chung ◽  
Siauw Ng ◽  
Hao Wang

Life cycle cost (LCC) analysis was performed for a 1.6 million tons per year (30,000 BPD) delayed coking unit. The results show that the LCC of coke production is higher than the price of coke and profits are obtained at the expense of environmental costs. The feedstock cost accounts for a majority of LCC. The variability impacts of processing expenses and carbon dioxide (CO2) price on LCC are relative similar. This suggests that if a higher CO2 price is imposed on coke production, it is unlikely that the producer will make any effort to reduce the CO2 emissions either by improving the efficiency of coking process or implement CO2 remediation initiatives. The CO2 price increase will be considered as a processing cost increase. The green factor (GF) is predominantly dependent on coke price; an increased coke price improves the GF significantly. Increased CO2 price has a negative impact on GF, but the relative incremental impact of CO2 price on GF is less at high CO2 prices. Hence, there is little can be done to improve the GF of coke production, since the coke price is beyond the control of coke producer.


2016 ◽  
Vol 16 (11) ◽  
pp. 6823-6840 ◽  
Author(s):  
Pauli Paasonen ◽  
Kaarle Kupiainen ◽  
Zbigniew Klimont ◽  
Antoon Visschedijk ◽  
Hugo A. C. Denier van der Gon ◽  
...  

Abstract. Atmospheric aerosol particle number concentrations impact our climate and health in ways different from those of aerosol mass concentrations. However, the global, current and future anthropogenic particle number emissions and their size distributions are so far poorly known. In this article, we present the implementation of particle number emission factors and the related size distributions in the GAINS (Greenhouse Gas–Air Pollution Interactions and Synergies) model. This implementation allows for global estimates of particle number emissions under different future scenarios, consistent with emissions of other pollutants and greenhouse gases. In addition to determining the general particulate number emissions, we also describe a method to estimate the number size distributions of the emitted black carbon particles. The first results show that the sources dominating the particle number emissions are different to those dominating the mass emissions. The major global number source is road traffic, followed by residential combustion of biofuels and coal (especially in China, India and Africa), coke production (Russia and China), and industrial combustion and processes. The size distributions of emitted particles differ across the world, depending on the main sources: in regions dominated by traffic and industry, the number size distribution of emissions peaks in diameters range from 20 to 50 nm, whereas in regions with intensive biofuel combustion and/or agricultural waste burning, the emissions of particles with diameters around 100 nm are dominant. In the baseline (current legislation) scenario, the particle number emissions in Europe, Northern and Southern Americas, Australia, and China decrease until 2030, whereas especially for India, a strong increase is estimated. The results of this study provide input for modelling of the future changes in aerosol–cloud interactions as well as particle number related adverse health effects, e.g. in response to tightening emission regulations. However, there are significant uncertainties in these current emission estimates and the key actions for decreasing the uncertainties are pointed out.


2016 ◽  
Author(s):  
P. Paasonen ◽  
K. Kupiainen ◽  
Z. Klimont ◽  
A. Visshedijk ◽  
H. A. C. Denier van der Gon ◽  
...  

Abstract. Atmospheric aerosol particle number concentrations impact our climate and health in ways different from those of aerosol mass concentrations. However, the global, current and future, anthropogenic particle number emissions and their size distributions are so far poorly known. In this article, we present the implementation of particle number emission factors and the related size distributions in the GAINS model. This implementation allows for global estimates of particle number emissions under different future scenarios, consistent with emissions of other pollutants and greenhouse gases. In addition to determining the general particulate number emissions, we also describe a method to estimate the number size distributions of the emitted black carbon. The first results show that the sources dominating the particle number emissions are different to those dominating the mass emissions. The major global number source is road traffic, followed by residential combustion of biofuels and coal (especially in China, India and Africa), coke production (Russia and China), and industrial combustion and processes. The size distributions of emitted particles differ across the world, depending on the main sources: in regions dominated by traffic and industry, the number size distribution of emissions peaks in diameters range from 20 to 50 nm, whereas in regions with intensive biofuel combustion and/or agricultural waste burning, the emissions of particles with diameters around 100 nm are dominant. In the baseline (current legislation) scenario, the particle number emissions in Europe, Northern and Southern Americas, Australia, and China decrease until 2030, whereas especially for India, a strong increase is estimated. The results of this study provide input for modelling of the future changes in aerosol-cloud interactions as well as particle number related adverse health effects, e.g., in response to tightening emission regulations. However, there are significant uncertainties in these current emission estimates and the key actions for decreasing the uncertainties are pointed out.


2009 ◽  
Vol 52 (12) ◽  
pp. 515-518 ◽  
Author(s):  
B. P. Kiselev ◽  
Yu. B. Stepanov ◽  
E. N. Stepanov

2021 ◽  
Vol 303 ◽  
pp. 01053
Author(s):  
Tatiana Cherkasova ◽  
Nikita Krasulin ◽  
Aleksandr Nevedrov ◽  
Andrey Papin ◽  
Sergey Subbotin

The maintenance of furnaces is one of the most important problems for by-product coke production. Swelling pressure is one of the least studied factors affecting the lining of coke furnace walls. The results of studies of the swelling pressure of PJSC “Koks” feedstock coal are presented in this paper. Research has been carried out to identify the dependence of the swelling pressure on the coal quality indicators, estimated during the incoming control of the central plant laboratory of PJSC “Koks”. The plastic properties of PJSC “Koks” feedstock coals were studied using Gieseler plastometer. The relationship between the swelling pressure and the maximum coal fluidity is revealed.


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