Coal it's elementary my dear Watson

Jonathan P. Mathews, Vijayaragavan Krishnamoorthy, Enette Louw, Aime H.N. Tchapda, Fidel Castro-Marcano, Vamsi Karri, Dennis A. Alexis, Gareth D. Mitchell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The spatial arrangement and abundance of the elements: C, H, N, O, S often correlate or directly influence a plethora of coal properties. For >90 years, attempts have utilized the ultimate (elemental) analysis of coal to predict a wide variety of properties such as: calorific value (higher heating value), volatile matter, vitrinite reflectance (mean maximum), Hardgrove grindability index, helium density, aromaticity, etc. While many relationships resulted in graphical plots that have utility even today, numerical values can also be directly calculated utilizing the correlations. These have the potential to allow rapid predictions and low-cost approaches to coal property determination. Here the many correlations addressing multiple coal properties were reviewed and where possible evaluated against the Pennsylvania State University Coal Sample Bank and Database for vitrinite-rich (>80% by point counting) United States Coals. Around 40 correlations were found. While some correlations, such as calorific value predictions are accurate over a wide range of compositions, others are challenged to capture the predictive value accurately, over a wide range, but may capture the trends.

Original languageEnglish (US)
Title of host publication28th Annual International Pittsburgh Coal Conference 2011, PCC 2011
Pages1827-1841
Number of pages15
StatePublished - Dec 1 2011
Event28th Annual International Pittsburgh Coal Conference 2011, PCC 2011 - Pittsburgh, PA, United States
Duration: Sep 12 2011Sep 15 2011

Publication series

Name28th Annual International Pittsburgh Coal Conference 2011, PCC 2011
Volume3

Other

Other28th Annual International Pittsburgh Coal Conference 2011, PCC 2011
CountryUnited States
CityPittsburgh, PA
Period9/12/119/15/11

Fingerprint

Coal
coal
Calorific value
Helium
vitrinite
vitrinite reflectance
prediction
Chemical analysis
helium
heating
Heating
cost
Costs

All Science Journal Classification (ASJC) codes

  • Geochemistry and Petrology
  • Geotechnical Engineering and Engineering Geology

Cite this

Mathews, J. P., Krishnamoorthy, V., Louw, E., Tchapda, A. H. N., Castro-Marcano, F., Karri, V., ... Mitchell, G. D. (2011). Coal it's elementary my dear Watson. In 28th Annual International Pittsburgh Coal Conference 2011, PCC 2011 (pp. 1827-1841). (28th Annual International Pittsburgh Coal Conference 2011, PCC 2011; Vol. 3).
Mathews, Jonathan P. ; Krishnamoorthy, Vijayaragavan ; Louw, Enette ; Tchapda, Aime H.N. ; Castro-Marcano, Fidel ; Karri, Vamsi ; Alexis, Dennis A. ; Mitchell, Gareth D. / Coal it's elementary my dear Watson. 28th Annual International Pittsburgh Coal Conference 2011, PCC 2011. 2011. pp. 1827-1841 (28th Annual International Pittsburgh Coal Conference 2011, PCC 2011).
@inproceedings{70efa93e31094f86b8f17fe2d9576440,
title = "Coal it's elementary my dear Watson",
abstract = "The spatial arrangement and abundance of the elements: C, H, N, O, S often correlate or directly influence a plethora of coal properties. For >90 years, attempts have utilized the ultimate (elemental) analysis of coal to predict a wide variety of properties such as: calorific value (higher heating value), volatile matter, vitrinite reflectance (mean maximum), Hardgrove grindability index, helium density, aromaticity, etc. While many relationships resulted in graphical plots that have utility even today, numerical values can also be directly calculated utilizing the correlations. These have the potential to allow rapid predictions and low-cost approaches to coal property determination. Here the many correlations addressing multiple coal properties were reviewed and where possible evaluated against the Pennsylvania State University Coal Sample Bank and Database for vitrinite-rich (>80{\%} by point counting) United States Coals. Around 40 correlations were found. While some correlations, such as calorific value predictions are accurate over a wide range of compositions, others are challenged to capture the predictive value accurately, over a wide range, but may capture the trends.",
author = "Mathews, {Jonathan P.} and Vijayaragavan Krishnamoorthy and Enette Louw and Tchapda, {Aime H.N.} and Fidel Castro-Marcano and Vamsi Karri and Alexis, {Dennis A.} and Mitchell, {Gareth D.}",
year = "2011",
month = "12",
day = "1",
language = "English (US)",
isbn = "9781618393982",
series = "28th Annual International Pittsburgh Coal Conference 2011, PCC 2011",
pages = "1827--1841",
booktitle = "28th Annual International Pittsburgh Coal Conference 2011, PCC 2011",

}

Mathews, JP, Krishnamoorthy, V, Louw, E, Tchapda, AHN, Castro-Marcano, F, Karri, V, Alexis, DA & Mitchell, GD 2011, Coal it's elementary my dear Watson. in 28th Annual International Pittsburgh Coal Conference 2011, PCC 2011. 28th Annual International Pittsburgh Coal Conference 2011, PCC 2011, vol. 3, pp. 1827-1841, 28th Annual International Pittsburgh Coal Conference 2011, PCC 2011, Pittsburgh, PA, United States, 9/12/11.

Coal it's elementary my dear Watson. / Mathews, Jonathan P.; Krishnamoorthy, Vijayaragavan; Louw, Enette; Tchapda, Aime H.N.; Castro-Marcano, Fidel; Karri, Vamsi; Alexis, Dennis A.; Mitchell, Gareth D.

28th Annual International Pittsburgh Coal Conference 2011, PCC 2011. 2011. p. 1827-1841 (28th Annual International Pittsburgh Coal Conference 2011, PCC 2011; Vol. 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Coal it's elementary my dear Watson

AU - Mathews, Jonathan P.

AU - Krishnamoorthy, Vijayaragavan

AU - Louw, Enette

AU - Tchapda, Aime H.N.

AU - Castro-Marcano, Fidel

AU - Karri, Vamsi

AU - Alexis, Dennis A.

AU - Mitchell, Gareth D.

PY - 2011/12/1

Y1 - 2011/12/1

N2 - The spatial arrangement and abundance of the elements: C, H, N, O, S often correlate or directly influence a plethora of coal properties. For >90 years, attempts have utilized the ultimate (elemental) analysis of coal to predict a wide variety of properties such as: calorific value (higher heating value), volatile matter, vitrinite reflectance (mean maximum), Hardgrove grindability index, helium density, aromaticity, etc. While many relationships resulted in graphical plots that have utility even today, numerical values can also be directly calculated utilizing the correlations. These have the potential to allow rapid predictions and low-cost approaches to coal property determination. Here the many correlations addressing multiple coal properties were reviewed and where possible evaluated against the Pennsylvania State University Coal Sample Bank and Database for vitrinite-rich (>80% by point counting) United States Coals. Around 40 correlations were found. While some correlations, such as calorific value predictions are accurate over a wide range of compositions, others are challenged to capture the predictive value accurately, over a wide range, but may capture the trends.

AB - The spatial arrangement and abundance of the elements: C, H, N, O, S often correlate or directly influence a plethora of coal properties. For >90 years, attempts have utilized the ultimate (elemental) analysis of coal to predict a wide variety of properties such as: calorific value (higher heating value), volatile matter, vitrinite reflectance (mean maximum), Hardgrove grindability index, helium density, aromaticity, etc. While many relationships resulted in graphical plots that have utility even today, numerical values can also be directly calculated utilizing the correlations. These have the potential to allow rapid predictions and low-cost approaches to coal property determination. Here the many correlations addressing multiple coal properties were reviewed and where possible evaluated against the Pennsylvania State University Coal Sample Bank and Database for vitrinite-rich (>80% by point counting) United States Coals. Around 40 correlations were found. While some correlations, such as calorific value predictions are accurate over a wide range of compositions, others are challenged to capture the predictive value accurately, over a wide range, but may capture the trends.

UR - http://www.scopus.com/inward/record.url?scp=84877626514&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84877626514&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84877626514

SN - 9781618393982

T3 - 28th Annual International Pittsburgh Coal Conference 2011, PCC 2011

SP - 1827

EP - 1841

BT - 28th Annual International Pittsburgh Coal Conference 2011, PCC 2011

ER -

Mathews JP, Krishnamoorthy V, Louw E, Tchapda AHN, Castro-Marcano F, Karri V et al. Coal it's elementary my dear Watson. In 28th Annual International Pittsburgh Coal Conference 2011, PCC 2011. 2011. p. 1827-1841. (28th Annual International Pittsburgh Coal Conference 2011, PCC 2011).