Prediction method of coal calorific value based on quantile regression
Gong-kuang zidonghua, 2022 At present, the traditional linear regression model is mainly used to predict the calorific value of coal. But it is difficult to express the complex relationship between independent variables and dependent variables.
ZHAO Xianzhi, CHEN Junlin
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Estimation of gross calorific value of coal based on the cubist regression model. [PDF]
Sci RepThe gross calorific value (GCV) of coal is an important parameter for evaluating coal quality, and regression analysis methods can be used to predict GCV. In this study, we proposed a GCV prediction model based on cubist regression. To develop a good regression model, feature selection of input variables was performed using a correlation analysis and a
Chen J, He Y, Liang Y, Wang W, Duan X.
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Production of Indigenous and Enriched Khyber Pakhtunkhwa Coal Briquettes: Combustion and Disintegration Strength Analysis [PDF]
Pakistan Journal of Analytical & Environmental Chemistry, 2013 Khyber Pakhtun Khwa province of Pakistan has considerable amounts of low ranked coal. However, due to the absence of any centrally administered power generation system there is a need to explore indigenous methods for effectively using this valuable ...
Unsia Habib +3 more
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Study on effect of oxygen volume fraction on explosion characteristics of silo mixed coal
Meikuang Anquan, 2023 To study the effect of oxygen volume fraction on the explosion characteristics of silo coal, an experiment was conducted on the explosion parameters(maximum pressure pmax, maximum pressure rise rate (dp/dt)max , and explosion index Kst ) of mixed coal in
MULATI·Jueraiti +5 more
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Effect of pyrolysis temperature on desulfurization performance of high organic sulfur low rank coal [PDF]
Journal of Mining and Metallurgy. Section A: Mining, 2021 The sulfur in coal not only influences the coke quality but also pollutes the environment during the combustion. The desulfurization of high organic sulfur coal is a key issue in coal cleaning science.
Xia W., He W., Sokolović J.
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Energies, 2022 The calorific value of coal gangue is a critical index for coal waste recycling and the energy industry. To establish an accurate and efficient calorific value forecasting model, a method based on hybrid kernel function–support vector regression and ...
Xiangbing Gao +3 more
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Energies, 2021 The underground coal gasification (UCG) represents an effective coal mining technology, where coal is transformed into syngas underground. Extracted syngas is cleaned and processed for energy production.
Ján Kačur +3 more
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The effect of climatological and hydrological parameters on the performance of mining works in a function of providing the energy fuel for stable operation of the Thermal power Plant Gacko [PDF]
Mining and Metallurgy Engineering Bor, 2022 This paper presents the climatological and hydrological effects on the calorific value of coal as an energy fuel for the Thermal Power Plant Gacko. Since the average annual rainfall is approximately 1,700 l/m2 , and that groundwater levels are quite ...
Vuković Boško, Jakšić Rajko
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Charcoal fuel from the mixture of coconut shell waste and coal: effect of carbonization temperature and the amount of coal mass in the mixture [PDF]
E3S Web of Conferences, 2021 Contributing to the solution-finding for the availability of dwindling fossil energy, this study produced charcoal fuel from a biomass mixture of coconut shell waste and coal, using adhesive from meranti wood.
Siswanto +2 more
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Estimation of coal proximate analysis factors and calorific value by multivariable regression method and adaptive neuro-fuzzy inference system (ANFIS) [PDF]
International Journal of Mining and Geo-Engineering, 2017 The proximate analysis is the most common form of coal evaluation and it reveals the quality of a coal sample. It examines four factors including the moisture, ash, volatile matter (VM), and fixed carbon (FC) within the coal sample.
Ali Behnamfard, Rasool Alaei
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