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Study Relationship between Inorganic and Organic Coal Analysis with Gross Calorific Value by Multiple Regression and ANFIS
Surface Science Western, Research Park, University of Western Ontario, Canada.ORCID iD: 0000-0002-2265-6321
Surface Science Western, Research Park, University of Western Ontario, Candada.
West Virginia Geological and Economic Survey, USA.
Center for Applied Energy Research, University of Kentucky, USA.
2011 (English)In: International Journal of Coal Preparation and Utilization, ISSN 1939-2699, Vol. 31, no 1, p. 9-19Article in journal (Refereed) Published
Abstract [en]

The relationship between maceral content plus mineral matter and gross calorific value (GCV) for a wide range of West Virginia coal samples (from 6518 to 15330 BTU/lb; 15.16 to 35.66 MJ/kg) has been investigated by multivariable regression and adaptive neuro-fuzzy inference system (ANFIS). The stepwise least square mathematical method comparison between liptinite, vitrinite, plus mineral matter as input data sets with measured GCV reported a nonlinear correlation coefficient (R 2) of 0.83. Using the same data set the correlation between the predicted GCV from the ANFIS model and the actual GCV reported a R 2 value of 0.96. It was determined that the GCV-based prediction methods, as used in this article, can provide a reasonable estimation of GCV.

Place, publisher, year, edition, pages
Taylor & Francis, 2011. Vol. 31, no 1, p. 9-19
Keywords [en]
ANFIS, Gross calorific value, Mineral matter, Petrography, Regression
Identifiers
URN: urn:nbn:se:ltu:diva-72291DOI: 10.1080/19392699.2010.527876ISI: 000287085600002Scopus ID: 2-s2.0-79251491044OAI: oai:DiVA.org:ltu-72291DiVA, id: diva2:1272062
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2020-03-09Bibliographically approved

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Chelgani, Saeed Chehreh

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