WEBFeb 15, 2015 · Coal fired industries often have to use subquality or blended coals, and are often under offdesign conditions, causing efficiency degrade and excess pollutant emissions [9]. ... Linear and nonlinear regression analyses for coal calorific value prediction from monitoring of multiband flame radiation signals were made based on the .
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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, 2019 · Semantic Scholar extracted view of "Estimation of low calorific value of blended coals based on support vector regression and sensitivity analysis in coalfired power plants" by Minfang Qi et al.
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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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WEBDec 1, 2018 · A mathematical equation to estimate calorific value of biomass briquettes based on the proximate analysis of briquettes was developed by using regression analysis. It can be inferred that the predicted data from the proposed model closely match with the experimental data with a R 2 value of and root mean square deviation (RMSD) of .
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WEBGross 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 .
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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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WEBFeb 15, 2015 · 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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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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WEBBomb calorimeters are employed in the food industry to measure the calorific values of food products, aiding in nutritional labeling and quality control. Research and Development: Scientists use bomb calorimeters in research and development activities to investigate the combustion characteristics of new materials, fuels, or chemical compounds.
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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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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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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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WEBFurthermore, the estimation of calorific value of coal samples based on proximate analysis factors is performed using multivariable regression, the Minitab 16 software package, and the ANFIS, Matlab software package. ... (FANNs) have been extensively studied to present process models, and their use in industry has been rapidly growing .
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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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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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WEBJan 2, 2024 · Gross calorific value (GCV) is an important characteristic of coal and organic shale; the determination of GCV, however, is difficult, timeconsuming, and expensive and is also a destructive analysis.
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WEBOct 1, 2011 · The efficiency is dependent, among others, on coal quality parameters, since the efficiency of the boiler is a function of gross calorific value and content of ballast in coal. The energy value of ...
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WEBNov 13, 2022 · 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 .
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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 1, 2021 · Therefore, a literature review of existing data on heating values of coal, char, and tar was conducted to expand on previously published efforts. 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.
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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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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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WEBMay 3, 2021 · Electrical energy is needed to operate equipment such as combustion air blowers, kiln motors, and fuel supply, etc. accounting for 22% of its consumption to sustain the pyroprocess. The calorific value of common fuels used in cement production is shown in Table 1. Natural gas has the highest energy content followed by fuel oil while .
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WEBThe condition of RDCMCT Laboratory can only obtain the GCV, which its value is measured using a bomb calorimeter. In this condition, the calorific value of coal will be higher because of the influence of other parameters such as hydrogen, water vapor, sulfur, and oxygen. For prediction, the CEF, calorific value should be calculated in NCV.
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WEBNov 21, 2018 · Much attention has been focused on reducing the use of petroleum products as fuels, so synthetic gas (Syngas) introduces a great opportunity for energy sustainable developments. Syngas is created either by gasifiion of plants biomass or waste products (carbonbased) pyrolysis. In principle, Syngas can be produced from any hydrocarbon .
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WEBJan 15, 2019 · 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. This study proposes a new combined ...
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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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WEBJun 1, 2023 · 1. Introduction. Coal, as one of the world's most important energy and raw materials, is widely used in industrial heat production (Dai et al., 2021).With the rapid development of production and construction, the demand for coal in the developing world is increasing (Ruppert et al., 2021).Thus, determining the coal quality is particularly .
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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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WEBDOI: / Corpus ID: ; Online identifiion of the lower heating value of the coal entering the furnace based on the boilerside whole process models
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WEBOct 1, 2015 · 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 .
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