and calorific data collected from the coalbased industrial analysis data of each coalfired power plant, the drybased carbon content is weighted to calculate the content of the drybased carbon. And then calculate the carbon content per unit calorific value, and finally calculate the total CO 2 emissions in the past 5 years. It
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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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The gross calorific value (GCV) of coal is important in both the direct use and conversion into other fuel forms of coals. The measurement of GCV usually requires sophisticated bomb calorimetric experimental apparatus and expertise, whereas proximate analysis is much cheaper, easier and faster to conduct. This paper presents the application of three regression models,, support vector ...
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The calorific value of solid fuels, also referred to as the gross calorific value (GCV) or the higher heating value (HHV), is a crucial property for its use as a fuel in energy systems. The HHV of coal as a resource can be predicted by more effective algorithms that use schedule information in engineering, like ultimate analysis, enabling fast ...
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The economy of Denmark is a modern highincome and mixed economy of Denmark is dominated by the service sector with 80% of all jobs, whereas about 11% of all employees work in manufacturing and 2% in agriculture. The nominal gross national income per capita was the ninthhighest in the world at 68,827 in 2023.
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The measurement repeatability meets the requirements of the Chinese national standard. 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 plants, coking, and other industries.
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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 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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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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In this table, calorific values for different types of coal and coal products are shown on a country by country basis. The aggregates for hard coal and brown coal are included for years prior to 1978 only. This table provides the calorific values used to convert raw tonnes of coal and coal products into energy for the OECD Coal Balance data.
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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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In this study, the gross calorific value (GCV) of coal was accurately and rapidly determined using eight artificial intelligence models based on big data of 2583 observations of coal samples in the Mong Duong underground coal mine (Vietnam). Accordingly, the volatile matter, moisture, and ash were considered as the key variables (inputs) for determining GCV. Seven artificial neural network ...
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As shown in Table 2, the calorific value of thermal coal is divided into 30 levels ranging from to MJ/kg, and the price parity is set as when the calorific value ranges from to MJ/kg. The price parity is increasing by % or decreasing by % when the calorific value increases or decreases by MJ/kg, respectively.
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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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Abstract. In India, coalbased electricity is a leading cause for greenhouse gas emissions. However, many uncertainties prevail in the emissions estimation from coalfired plants due to the dynamics of varying net calorific values (NCV) and carbon emission factors (CEF) associated with different grades of coal coupled with the coal oxidation factors (COF) of power plants.
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In India utilities usually get coal from multiple sources and coal is priced essentially on the basis of gross calorific value (GCV). During combustion, GCV contributes only to the maximum possible heat release, though heat release rate is mostly controlled by coal proximate parameters ash, volatile matter, moisture and fixed carbon ...
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for Zonguldak coal is proposed. According to the proposed prediction method, calorific value is strongly related to ash content of each coal sample. In other words, one can easily estimate the calorific value of a coal with defined ash content. Correlation between measured and predicted calorific values is statistically significant (R2=).
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PDF | Coal quality is generally defined based on the ash contents. It is well known that the calorific value of coal is negatively affected by the... | Find, read and cite all the research you ...
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Given a 5% difference between gross and net calorific value, the net calorific value of coal was about 5,160 kcal kg −1 in 2005. From the perspective of coal consumers, demanding on highquality coal is growing as largescaled and standardized devices in energyintensive industries are more and more popular.
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Estimation of coal Gross Calorific Value based on various analyses by random forest method ... based briquette due to the HCl gas increases the fixed carbon content of biocharbased briquette in the preparation process. When industrial hemp stems and polyvinyl chloride at the ratio of 1:1, the maximum high heating value of biocharbased ...
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There are a number of formulae proposed in the literature to estimate the calorific value of biomass fuels from its elementary components by proximate, ultimate and chemical analysis composition.
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Abstract. The higher heating value (HHV) of 84 coal samples including hard coals, lignites, and anthracites from Russia, Colombia, South Africa, Turkey, and Ukrania was predicted by multilinear regression (MLR) method based on proximate and ultimate analysis data. The prediction accuracy of the correlation equations was tested by Analysis of variance method. The significance of the predictive ...
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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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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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N2 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.
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Online Estimation of Coal Calorific Value from Combustion Radiation for CoalFired Boilers ... raw features in a complex industrial process and to provide otherwise unavailable data, 2) the ...
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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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Akkaya (2022) adopted the Gaussian process regression (GPR) method to predict ... A novel artificial intelligence technique to estimate the gross calorific value of coal based on metaheuristic and support vector regression algorithms ... a survey of academic, industry and government coal geoscientists. Int. J. Coal Geol., 237 (2021), Article ...
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Abstract. The calorific value of coal is important in both the direct use and conversion into other fuel forms of coals. Accurate calorific value predicting is essential in ensuring the economic, efficient, and safe operation of thermal power plants. Least squares support vector machine (LSSVM) is a variation of the classical SVM, which has ...
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The objective of this study was to compare different statistical algorithms for estimating the calorific value of coal based on a quantitative analysis of the elements in coal. Laserinduced breakdown spectroscopy (LIBS) was applied for the elemental analysis. Three different algorithms, including the correlation analysis (CA) method, the partial least squares (PLS) analysis method, and the ...
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