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Combustion Science and Technology Volume 190, 2018 - Issue 12
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Articles

A unified semi-empirical model for estimating the higher heating value of coals based on proximate analysis

Alchris Woo GoDepartment of Chemical Engineering, University of San Carlos- Talamban Campus, Cebu City, PhilippinesCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-6516-9603View further author information
ORCID Icon &
Angelique Trugillo ConagDepartment of Chemical Engineering, University of San Carlos- Talamban Campus, Cebu City, PhilippinesView further author information
Pages 2203-2223 | Received 06 Jan 2018, Accepted 03 Jul 2018, Published online: 17 Jul 2018

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Read on this site (2)

Rupak Roy & Srimanta Ray. (2020) Development of a non-linear model for prediction of higher heating value from the proximate composition of lignocellulosic biomass. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-14.
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Alchris Woo Go, Ramelito C. Agapay, Yi-Hsu Ju & Angelique T. Conag. (2020) Unified Semi-Empirical Models for Predicting or Estimating the Heating Value of Coal and Related Properties – Theoretical Basis and Thermochemical Implications. Combustion Science and Technology 192:8, pages 1449-1474.
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Articles from other publishers (3)

Chinmay Mondal, Samir Kumar Pal, Biswajit Samanta, Dibyendu Dutta & Sumit Raj. (2023) Analysis and significance of prediction models for higher heating value of coal: an updated review. Journal of Thermal Analysis and Calorimetry 148:15, pages 7521-7538.
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Na Xu, Zhiwei Wang, Yuchen Dai, Qiang Li, Wei Zhu, Ru Wang & Robert B. Finkelman. (2023) Prediction of higher heating value of coal based on gradient boosting regression tree model. International Journal of Coal Geology 274, pages 104293.
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Andrew P. Richards, Denver Haycock, Jacob Frandsen & Thomas H. Fletcher. (2021) A review of coal heating value correlations with application to coal char, tar, and other fuels. Fuel 283, pages 118942.
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