A more accurate method for estimating in situ coal density and mineral matter from ash and specific energy determinations

Robeck, Eric; Huo, Dennis

doi:10.1016/j.coal.2016.11.007

Cited by 14 publications

(12 citation statements)

References 4 publications

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“…These data allowed obtaining a relative density value of 1.3 ± 0.27 g•cm-3. The relative density found is within the range of the ashes presented in other processes and corroborates the application of hard water with a density of 3 g•cm-3 for the removal of a metallic material within the ashes (Cedex, 2011;Robeck & Huo, 2016). Due to this, the weight percentage of metal obtained by the selective separation method is taken into account for measurement and comparison during the recovery processes of metallic material in the ash by different gravimetric methods.…”

Section: Resultssupporting

confidence: 79%

“…2) The sample was deposited in columns with different mixtures of water and zinc sulfate with densities of up to 3 g•cm -3 , which allowed only the metallic material to precipitate from the ashes. This density value was taken as a value greater than the relative density of the fly ash normally produced at an industrial level to guarantee the preferential precipitation of the metallic material (Robeck & Huo, 2016).…”

Section: Methodsmentioning

confidence: 99%

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Recovery of copper through concentration processes from ashes produced by WEEE pyrolysis

Rojas-Arias¹,

Rojas-Arias²,

Medrano-Rivera³

et al. 2021

JART

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The process of recovering metals from electronic waste has become an important topic in recent years. In this work, the recovery of electrolytic copper from the ashes produced during the pyrolysis process of waste electrical and electronic equipment (WEEE) was sought. Three gravimetric separation equipment were used: Wilfley table, JIG screen, and mechanical screen. This last method was used with and without previous grinding processes. The ashes were initially characterized by XRD to determine the phases present. The initial concentration of the ashes was carried out by physicochemical classification. The results obtained show that the JIG sieve separation processes obtained the best performance, reaching a percentage of about 87% of recovery of the metal present within the WEEE ashes during 16 minutes. The application of a vertical gravimetric separation system on material samples with a fairly wide density difference allowed an optimal separation system for the metallic material and the produced ash. On the other hand, the application of screens in the recovery of the metal obtains values much lower than those obtained by JIG sieve.

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Section: Resultssupporting

confidence: 79%

Section: Methodsmentioning

confidence: 99%

Recovery of copper through concentration processes from ashes produced by WEEE pyrolysis

Rojas-Arias¹,

Rojas-Arias²,

Medrano-Rivera³

et al. 2021

JART

View full text Add to dashboard Cite

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“…Hence, there must be some other factors affecting the slurryability of DCLR. As indicated by Robeck and Huo, the density of coal matrix is relatively low (1.2–1.6 g/cm 3 ), while that of mineral matters are relatively high (2.2–5.0 g/cm 3 ) 42 . It is assumed that demineralization could reduce the density of DCLR, 16 resulting in increased volume fraction of DCLR in the slurries under identical solid loading of the slurries.…”

Section: Resultsmentioning

confidence: 97%

“…The relationship of solid loading and apparent viscosity of the slurries F I G U E 5 The zeta potential of DCLR and DEMs relatively low (1.2-1.6 g/cm 3 ), while that of mineral matters are relatively high (2.2-5.0 g/cm 3 ). 42 It is assumed that demineralization could reduce the density of DCLR, 16 resulting in increased volume fraction of DCLR in the slurries under identical solid loading of the slurries. The volume fraction of solid in slurries is positively correlated with the viscosity of slurries.…”

Section: Slurryabilitymentioning

confidence: 99%

Properties of direct coal liquefaction residue water slurry: Effect of mineral matters by acid‐leaching demineralization

Wang

et al. 2022

Asia-Pacific J Chem Eng

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The effects of demineralization treatment by acid leaching on the properties of direct coal liquefaction residue water slurry (DCLRWS) were investigated. The demineralized direct coal liquefaction residue (DCLR) with different mineral matter content and composition was prepared by leaching with the solution of HCl/HF, HCl, and HF, designated as DEM-1, DEM-2, and DEM-3, respectively. After demineralization, the slurryability of DCLR decreases but their effective solid loading (ash-free basis) increases. The results indicate that metallic minerals are the principal factor improving the slurryability of DCLRWS, mainly by increasing the dispersant adsorption capacity of DCLR. In addition, the decreasing density of DCLR after demineralization is not advantageous to its slurryability. DCLRWSs prepared by DCLR, DEM-1, and DEM-2 all have the same stabilization time (2 days), indicating that removal of metallic minerals could not deteriorate the stability. However, after removal of clay minerals, the slurries prepared by DEM-3 tend to form sediment after stopping high-speed stirring, attributed to its lowest zeta potential and loss of stability due to clay minerals. Except for DEM-3, the slurries prepared by other three samples all have a shear-thinning behavior, with the strongest behavior observed for DEM-1 slurry.

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“…Since long space density (LSD) was not available in the study area, SSD was adopted. SSD has a strong correlation with ash, , and the density value corresponding to 50% ash is the main criterion for setting the coal density cutoff. By statistically analyzing the ash of the samples and the average SSD value in the corresponding depth interval, a value of 1.85 g/cm 3 from the logs was used to distinguish between coal and noncoal.…”

Section: Base Model For Cbm Resourcementioning

confidence: 99%

Stochastic Modeling for Estimating Coalbed Methane Resources

Duan

Xia

et al. 2019

Energy Fuels

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In this paper, an integrated workflow was developed to estimate coalbed methane (CBM) probabilistic resources. This workflow captures all of the uncertainty parameters in CBM modeling, including the structural surface and coal thickness in the structural modeling and the coal facies, logging density, etc. in the property modeling. These uncertainties were statistically analyzed and quantified. Sensitivity analysis was carried out to rank the impact of these parameters on the resources, and six sensitive parameters were chosen. Then, multiple stochastic models were generated using the aforementioned six parameters to determine the resource distribution, from which the P90, P50, and P10 resources were chosen. Finally, the low, middle, and high probabilistic models corresponding to these three probabilistic resources were attained. This workflow was applied to a CBM field in Australia, and the simulated results show that for the low, middle, and high probabilistic resource models the resources are always high in the central and western part of the study area.

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A more accurate method for estimating in situ coal density and mineral matter from ash and specific energy determinations

Cited by 14 publications

References 4 publications

Recovery of copper through concentration processes from ashes produced by WEEE pyrolysis

Recovery of copper through concentration processes from ashes produced by WEEE pyrolysis

Properties of direct coal liquefaction residue water slurry: Effect of mineral matters by acid‐leaching demineralization

Stochastic Modeling for Estimating Coalbed Methane Resources

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