Calculation of element distributions between inorganic and organic parts of coal

Klika, Zdeněk; Weiss, Zdeněk; Roubíček, Václav

doi:10.1016/s0016-2361(97)00145-2

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…Coal preparation is thus believed to be an effective method to lower the concentrations of trace elements. This reduces the amount of environmental pollution by the trace elements (Pires et al 1997;Klika et al 1997Klika et al , 2000Tang et al 2005;Song et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Mineralogy, distribution, occurrence and removability of trace elements during the coal preparation of No. 6 coal from Heidaigou mine

Bai

Wang

2014

Int J Coal Sci Technol

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Optical microscopy and scanning electron microscopy in conjunction with energy dispersed X-ray spectrometry (SEM-EDX) were used to study the minerals and the concentrations of 33 trace elements in No. 6 coal from Heidaigou mine. The distributions, organic affinity and removability of 18 trace elements were studied by float-sink experiments. A determination of the maceral groups was also undertaken. A high mineral content, dominated by kaolinite, was found in No. 6 coal from Heidaigou mine. The bauxite content was relatively high and it was mainly present as individual particles in fusinite lumens or was intimately intergrown with carbonate minerals. The pyrite and quartz contents were low. Some marcasite with a parallel twin structure was observed by cross-polar reflected light. A small amount of bean-like goyazite was present in the calcite. The weighted trace element content in Heidaigou formations is relatively low, which is beneficial for coal processing and utilization. The concentrations of Ga, Hg, Pb, Se, Th, Ta are relatively high compared with the average values of Chinese coals.

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Section: Introductionmentioning

confidence: 99%

Mineralogy, distribution, occurrence and removability of trace elements during the coal preparation of No. 6 coal from Heidaigou mine

Bai

Wang

2014

Int J Coal Sci Technol

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“…It is assumed that the mercury released in the flue gas is in atomic form and its residence time in the atmosphere can be up to 1 year. The limit of dust particles for large stationary sources has been very tightened, it sets the maximum value of particulate matter at 8 mg • m -3 in flue gases [8]. Research on the concentration of heavy metals in microparticles emitted from coal-fired power plants continues with the introduction of advanced physical micro methods [9].…”

Section: Reducing and Continual Measurements Of Microparticle And Hea...mentioning

confidence: 99%

Environmental Emissions Dispersion Modelling, Principles and Algorithms; Cross-Border CZ-PL Course for Master’s Students

Štěpánek

Křı́ž

Hyšplerová

et al. 2022

Chemistry-Didactics-Ecology-Metrology

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Regular mathematical modelling of the dispersion of emissions from large sources is required by law in all EU countries. It is also used in risk analysis to predict releases of toxic substances from various technologies, from volcanic activity and possibly also terrorist acts. However, there is a shortage of experts in this very specific and demanding profession in the labour market in most EU countries. In a collaboration between academicians from neighbouring University of Hradec Králové and University of Opole and experts from important ecological companies of both regions we designed and verified as a part of a four-year pedagogical project supported by the EU a comprehensive education system in mathematical modelling of emission dispersion with exchange field trips and internships of students during cross-border Polish-Czech university education. The paper consists of two separate parts. The first part is focused on implementation of innovative lesson “Principles, algorithms, and differences of environmental dispersion emissions models”, used on both sides of Polish-Czech border region. An example of the use of the educational package of the Gaussian plume model with PC Templates, who was modified in cooperation between teachers from both cross-border universities and experts from professional companies is presented here too. Our four-year experience with student motivational field trips to professional companies in both border regions and exchange one-month professional internships for interested students to two Czech professional companies, where students learn to work with to the Gaussian plume model and one Polish professional company, where students are introduced to the Gaussian puff model is also discussed. The following separate second part will be focused on the innovative lesson of multivariate statistical methods of environmental data analysis, which are required for processing materials for modern mathematical modelling of the dispersion of emissions in practice. The target users of this two-part innovative courses are students of the MSc degree in Physical Measurement and Modelling at the University of Hradec Králové and students of the MSc degree in environmental studies at the University of Opole. However, it is also open to other Czech and foreign students and professionals.

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“…Float-sink separation has been used in a number of studies to evaluate the partitioning of individual trace elements between organic-rich and mineral-rich fractions of coal samples, based mainly on correlations between element concentration on factors such as separation density and ash yield. The contents of trace elements in organic and inorganic components were studied by many researchers in this way (Gluskoter et al 1977;Solari et al 1989;MartinezTarazona et al 1992;Pires et al 1997;Klika et al 1997;Klika and Kolonaznik 2000;Querol et al 2001;Wagner and Tlotleng 2012;Oliveira et al 2013;Equeenuddin et al 2016;Bai et al 2017). The effectiveness of float-sink separation of partitioning individual elements and identifying any element ''affinities'' are limited by the particle size at which the separation is carried out as mineral particles may still be present in the low-density fraction, even in a finely-ground coal.…”

Section: Introductionmentioning

confidence: 99%

Distribution and occurrence of trace elements in the No.14 coal from the Huolinhe mine

Bai

Wang

2017

Int J Coal Sci Technol

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Optical microscopy, and scanning electron microscopy in conjunction with energy dispersed X-ray spectrometry (SEM-EDX), have been used to study the minerals and the concentrations of 12 trace elements in the No.14 coal from the Huolinhe mine, Inner Mongolia China. The distribution, affinity and removability of the trace elements were studied by float-sink experiments and petrological methods. A high mineral content, dominated by clay minerals, was found in the No.14 coal from the Huolinhe mine. The concentrations of As, Sb and Hg are relatively high compared to the average values for Chinese coals. As, Cr, Hg, Li, Mn, Pb are mainly associated with the minerals while Cd, Co, Ni, Sb, and Se are evenly distributed between the minerals and the organic matter. Be and Ba are mainly distributed in the minerals with a minor proportion in the organic matter. Most elements have a low organic affinity, although Sb, Se, Co, Cd, Ni are closely integrated with the organic matter. High theoretical removabilities are indicated for most trace elements. So it may be possible to lower the concentrations of trace elements during coal preparation.

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Calculation of element distributions between inorganic and organic parts of coal

Cited by 7 publications

References 6 publications

Mineralogy, distribution, occurrence and removability of trace elements during the coal preparation of No. 6 coal from Heidaigou mine

Mineralogy, distribution, occurrence and removability of trace elements during the coal preparation of No. 6 coal from Heidaigou mine

Environmental Emissions Dispersion Modelling, Principles and Algorithms; Cross-Border CZ-PL Course for Master’s Students

Distribution and occurrence of trace elements in the No.14 coal from the Huolinhe mine

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