They concluded that three parameters (C, N and O) were enough to estimate the calorific value well. In recent years, many models predicting the calorific value of coal were established, which were based on machine learning methods including wavelet neural networks [9], artificial neural networks [10] and support vector regression [11].
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Coal tar from bituminous coal is the liquid byproduct of the distillation of coal to make coke in the coke oven process. Coal tar can be further distilled into different organic products ( benzene, toluene, naphthalene), which normally would be reported as a feedstock to the petrochemical industry. 8. BKB (Brown coal briquettes):
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where Q ar is the available biomass residues (million tons), η is the biocoal yield according to our experimental results, and f tce is the factor of converting biocoal into standard coal equivalent according to their calorific values. The calorific value of standard coal is MJ kg −1 . Q ar is calculated from the following equation
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second is Hua Ting coal, Ning Xia coal has lowest calorific value. In group A, the calorific value of coal was hardly increased, while the calorific value of the coal in group B and group C increased. It is not necessary to improve the calorific value after the coal blending, there is a problem of the optimum ratio.
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The purpose of this study was to enhance the accuracy of the calorific value estimation of coal by applying data preprocessing methods in laserinduced breakdown spectroscopy (LIBS). The SavitzkyGolay (SG)smoothing and SG derivative preprocessing methods were adopted to improve the accuracy of the prediction model. The relationship among the original, SGsmoothingpretreated, and SG ...
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Gross calorific value (GCV) is one of the essential parameters for evaluating coal quality. Therefore, accurate GCV prediction is one of the primary ways to improve heating value as well as coal production. A novel evolutionarybased predictive system was proposed in this study for predicting GCV with high accuracy, namely the particle swarm optimization (PSO)support vector regression (SVR ...
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India, the world's third largest coal producing country, is expected to maintain strong dependency on coal for the coming few decades. The gross calorific value (GCV) of coal is a key yardstick ...
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The study offers a detailed cost analysis of Coal Production from Surface Mining. In addition, the report incorporates the manufacturing process with detailed process and material flow, operating costs along with financial expenses and depreciation charges. Details: Germany based plant Q2 2023 From USD.
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The bio coal had a calorific value of MJ/kg, moisture content of %, fixed carbon of % and ash content of %. The properties of the bio coal make it makes it usable as an alternative to coal and can be reintegrated back into the sugar processing industry as a substitute to coal. © 2018 The Autho s.
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However, relatively lower calorific value, coupled with high ash content and inefficient combustion technologies aggravates emission of greenhouse gases and other pollutants from India's coal and lignite based thermal power plants. Main emissions from coal fired and lignite based thermal power plants are CO. 2, NO. x, SO. x, and
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This study aims to develop a globally valid prediction model for coal higher heating value (HHV) for the first time, and the Gaussian process regression method is performed to build the model. ABSTRACT This study aims to develop a globally valid prediction model for coal higher heating value (HHV). For the first time, the Gaussian process regression (GPR) method is performed to build the ...
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Abstract. New prediction models based on wavelet neural networks (WNNs) have been proposed to estimate the gross calorific value (GCV) of coals. The input sets for the prediction models are involved of the proximate and ultimate analysis components of coal and the oxide analyses of ash. The coal samples, which have been employed to develop and ...
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The present research work proposes an optimization procedure using Taguchi method and utility concept with the main objective of maximizing the calorific value of syngas with lower CO2 yield during coal gasification process using thermodynamic equilibrium model based on stoichiometric approach. After validating the model with experimental results, the effect of air supply and steam supply on ...
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1. Introduction. Consumption of fossil fuels continues to grow, although there are signs that the rate of growth may be slowing [1].Also the abundance and versatility of coals makes a vital role for it in nowadays industrial fields like cement making and conversion to coke for the smelting of iron ore [2], [3].. The calorific value (CV) as an indicator of the chemically stored energy in coal ...
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Mason conducted research work on 775 coal samples of all rank types and proposed an empirical relationship for estimating the calorific value of coal from ultimate analysis result and on further analysis with Dulong's, [19, 20] and formula, it has been found that data set gave poorer result.
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2. Methodology. Two sets of algorithms are designed to enable realtime coal change and type detection in a power plant. First, a Semisupervised Cascaded Clustering (SSCC) algorithm is designed for extracting coal classes from the historical sensor and coal label data from the plant, in a nonreal time manner.
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Calorific Value (Heating Value) Calorific value is defined as the amount of calories generated when a unit amount of substance is completely oxidized and is determined using the bomb calorimeter. The calorific value of coal represents gross calorific value (HG ), which contains the latent heat of water vaporization.
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The calorific value of a coal, which is usually termed the higher heating value (HHV) (also termed as the gross calorific value, GCV), is an important property for its use as a fuel. HHV is defined as the amount of heat released when a unit mass of the fuel is burnt completely, and the combustion products are cooled under standard conditions.
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Slovenian coal and estimation of coal heating value based on proximate analysis using regression and artificial neural networks. Central European Journal of Chemistry, 2013;
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calorific values for the rank classification o f highvolatile bituminous coals. It is also used f or estimating free or surface m oisture, s ince total moisture is equal to the sum of the ...
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In this study, the gross calorific value (GCV) of coal has been estimated using two types of coal analysis data. These are proximate data and spectral reflectance data in visible to near infrared ...
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Except coals E and F, the net calorific value of COG tends to increase with increasing VM. The net calorific value of COG for coals E and F is lower than that for coal G with the same level of VM since the concentrations of CO and CO 2 are higher and these of CH 4, C 2 H 4 and C 2 H 6 are lower for coals E and F. Download : Download highres ...
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The energy value of coal, or fuel content, is the amount of potential energy coal contains that can be converted into heat. This value can be calculated and compared with different grades of coal and other combustible materials, which produce different amounts of heat according to their grade. While chemistry provides ways of calculating the ...
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This calorific value measurement technology based on NIRSXRF is safe, fast, and stable, providing a new way to optimize and control the utilization process of coal in coal washing plants, power ...
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A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
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