WEBJan 6, 2021 · Request PDF | Coal gasifiion process optimization for maximum calorific value and minimum CO2 emission using Taguchi method and utility concept | The present research work proposes an ...
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WEBJul 1, 2009 · Relationships of ultimate and proximate analysis of 4540 US coal samples from 25 states with gross calorific value (GCV) have been investigated by regression and artificial neural networks (ANNs) methods. Three set of inputs: (a) volatile matter, ash and moisture (b) C, H, N, O, S and ash (c) C, H exclusive of moisture, N, O exclusive of .
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WEBThe experimental results indie that the hybrid kernel function is more suitable for forecasting the calorific value of coal gangue than that of a single kernel function and is better than other conventional forecasting methods.
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WEBApr 12, 2022 · CV calorific value. HHV higher heating value. SVM support vector machine. ACE alternating conditional expectation. BPNN back propagation neural network. SVR support vector regression. ANN artificial neural network. MVR multivariate regression. RF random forest. WNN swavelet neural networks. M moisture
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WEBApr 15, 2017 · In this study, an estimation method based on Gaussian copula is introduced and applied to resource estimation of Saray (Tekirdağ, Turkey) coal field. Lower Calorific Value (LCV) is variable under study. Before estimation, a 3D solid model of the coal filed is constructed by crosssection method and this model is divided into blocks with size ...
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WEBIn 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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WEBJul 3, 2023 · 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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WEBSep 28, 2018 · Calorific value is an important indior to evaluate the comprehensive quality of coal, and its realtime and rapid analysis is of great significance for optimizing the coal blending process and ...
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WEBJun 1, 2019 · ABSTRACT 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 range (wavelength: 400–2500 nm). The present study aims in developing two GCV prediction models and compare the accuracy of the .
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WEBThe energy value of coal, or fuel content, is the amount of potential energy coal contains that can be converted into heat. [1] 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 ...
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WEBAug 30, 2020 · Abstract The recovery and reuse of waste heat offers a significant opportunity for any country to reduce its overall primary energy usage. Reuse of waste heat improves the ambient air quality by reducing both industrial pollution and greenhouse gas emissions from industries. This paper presents an estimation of thermal waste heat .
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WEBJul 1, 2017 · 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 .
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WEBApr 12, 2022 · 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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WEBJan 1, 2021 · In the process of gathering data on coalrelated compounds, data on biomass and other gaseous, liquid, and solid fuels were added to the data set. ... While these models show some promise in predicting the higher heating value of coal tar postpyrolysis, a larger data set would benefit this analysis and allow for greater confidence in .
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WEBDec 1, 2023 · A new disposal process for coal gangue with different properties is developed. • The system is selfsustaining by burning pyrolytic oil, gas and partial char. • The system is more economical to treat ultralow calorific value coal gangue. • The recommended pyrolysis temperature is about 600 ℃ for industry process. •
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WEBJul 30, 2021 · Biomass gasifiion is one of the prominent methods of utilizing biomass for energy generation. There is a huge potential for biomass utilization because of its renewable nature. Also there are different biomass feedstock materials available in nature. These feedstock materials can be analysed in the gasifiers for their efficacy. Downdraft .
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WEBBhabani S. Das. 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 ...
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WEBOct 26, 2021 · 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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WEBJul 5, 2020 · 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 predicti...
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WEBJan 1, 2021 · 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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WEBJan 3, 2020 · LCA further shows that the biocoal production process could achieve net positive energy, financial, and environmental benefits. ... National biocoal production estimation. ... and f tce is the factor of converting biocoal into standard coal equivalent according to their calorific values.
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WEBJul 25, 2016 · A Biomass Characteristics Index (BCI) is proposed to represent the relationship between bulk density and moisture content. A numerical framework is developed to determine the BCI. This index is used to estimate the biomass bulk density and moisture content before the calorific value calculation. A regression graph is .
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WEBDOI: / 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 .
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WEBJan 1, 2012 · The results have shown good potential for predicting the net calorific value of coal from the real plant data. Calorific value prediction would be useful for the stoichiometric calculation of coal flow rate. This information will enhance the performance of the combustion control system for power utilities. Fig. 7.
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WEBDOI: / Corpus ID: ; Estimation of higher heating value of coal based on proximate analysis using support vector regression article{Peng2015EstimationOH, title={Estimation of higher heating value of coal based on proximate analysis using support vector regression}, author={Tan Peng and Cheng .
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WEBJul 5, 2020 · Coal related business carries out a substantial contribution to the international economy. Coal is mined comme... Coal higher heating value prediction using constituents of proximate analysis: Gaussian process regression model: International Journal of Coal Preparation and Utilization: Vol 42, No 7 Get Access
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WEBNet calorific value. This is the calorific value of the fuel, excluding the energy in the steam discharged to the stack,and is the figure generally used to calculate boiler efficiencies. In broad terms: Accurate control of the amount of air is essential to boiler efficiency: Too much air will cool the furnace, and carry away useful heat.
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WEBThe bomb calorimeter is used to determine the calorific values of solid and liquid fuels. It consists of a strong steel shell known as a bomb. It consists of a base which supports the platinum crucible and is screwed to the body of the bomb. The top of the bomb carries an oxygen supply connection and a valve to release the product.
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WEBSep 26, 2018 · Typical calorific value for 45% moisture content of green wood chunks is 10 MJ/kg (refer to Fig. 7). Therefore, the estimated energy density of green wood chunks is calculated as 3500 MJ/m 3 (=350 kg/m 3 × 10 MJ/kg). For the kiln dry wood chunks of 45% moisture content, the calorific value is reported as MJ/kg . This means that the .
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WEBJan 1, 2020 · 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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WEBAug 21, 2023 · Syngas from biomass gasifiion can be used in downstream process industries such as city gas, hydrogen production, etc. In this review, the effects of biomass feedstock properties, and gasifiion reaction conditions (temperature, gasifier type, etc.) on syngas properties are systematically reviewed. In summary, the cracking and .
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WEBDOI: / Corpus ID: ; Estimation of gross calorific value based on coal analysis using regression and artificial neural networks article{Mesroghli2009EstimationOG, title={Estimation of gross calorific value based on coal analysis using regression and artificial neural networks}, author={Sh.
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WEBOct 1, 2011 · The methodology, uncertainty calculations and effects of individual factors on the uncertainty of measurement in bomb calorimeter are described. A bomb calorimeter is an apparatus used for measuring the performance of coal in term of heat of combustion. Recent awareness has been created regarding uncertainty of measurement, due to .
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WEBJan 1, 2023 · The accurate estimation of the calorific value of coal with the help of models is very important for the design and operation of coalbased technologies.
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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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