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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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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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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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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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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DOI: / Corpus ID: ; Research on onsite measurement factors and performance of coal calorific value based on laser ignition article{Zhang2023ResearchOO, title={Research on onsite measurement factors and performance of coal calorific value based on laser ignition}, author={Xuegang Zhang and Linglong Wang and Qiwen Jin and Zhiming Lin and Chenghang Zheng and ...
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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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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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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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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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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 ...
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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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that moisture content, volatile matter, ash content, fixed carbon and calorific value increased with increase in binder concentration and compacting pressure. The average moisture content, volatile matter, ash content, fixed carbon and calorific value they obtained ranged from between to %, to %, to %, to %
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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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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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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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Request PDF | On Mar 16, 2016, Sahar Matin and others published Estimation of coal gross calorific value based on various analyses by random forest method | Find, read and cite all the research ...
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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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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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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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With the PLSAbased nonlinear regression model, online coal calorific value prediction from the multiband flame radiation features under the operating conditions used by the industrial boiler has ...
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The GCV, or higher heating value (HHV), is an indicator of chemically stored energy content of a coal [7, 8].It is usually a decisive parameter in the assessment of the value of the coal and thereby provides a basis for its purchase agreement [9, 10].GCV is the amount of energy released during the combustion of a coal.
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Timely monitoring of the calorific value of coal is beneficial to combustion regulation during the operation of coalfired power plants. An insitu measurement system applied to power plants was ...
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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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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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In Situ monitoring of the calorific value of coal has the advantage of reducing the amount of unburned carbon by injecting an appropriate amount of combustion air immediately to induce complete combustion. High sulfur concentrations cause severe environmental problems such as acid rain. In order to estimate the calorific value and measure the sulfur concentration, a new powerful technique for ...
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The heat created by burning 1 kg of the material and then cooling it to room temperature is referred to as the Gross Calorific Value, as the water vapor formed during the combustion process also produces heat that should be more heat recovered from water vapor, the higher the Gross Calorific Value. Calorific Values of Fuels. Calorific Value is mostly used to determine fuel economy.
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This study proposes a new combined estimation equation for the calorific value of coal. The modeling process in this study consists of two stages. In Stage1, a highperformance gross calorific value (GCV) prediction equation is developed using the Group Method Data Handling type Neural Network (GMDHtype NN) method based on proximate analysis ...
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In order to estimate the calorific value and measure the sulfur concentration, a new powerful technique for mixed coals was studied. Laserinduced breakdown spectroscopy (LIBS) does not require ...
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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 is equal to or greater than 24 000 kJ/kg on an ashfree but moist basis. If bituminous coal is used in coke ovens it should be reported as coking coal. 2. Subbituminous coal: Nonagglomerating coal with a gross calorific value equal to or greater than 20 000 kJ/kg and less
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Coal from Bangko, South Sumatra is a low rank coal which has the potential to be used as activated carbon material. The result of proximate analysis and calorific value of coal shows that Bangko coal is included in the lignite category, with fixed carbon %, volatile matter % and calorific value 4915 Cal/g.
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Both initiatives are an expression of the unique use of urban planning in Denmark to lay out transport systems and land use to meet citizen's needs during their work, life and leisure time. Its principles are decentralisation, framework control, and public participation. The Finger Plan and the Copenhagen Climate Plan have both left clear marks ...
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Price Chart Historical Data News. Newcastle coal futures increased to 128 per tonne as demand from China is set to rise as temperatures are falling. China's thermal coal imports for November are anticipated to reach approximately million metric tons, surpassing October's million and trailing only May's million, as per ...
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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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