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 ...
Researching and analysing the current market trends and property prices is crucial to make an informed decision. Exploring the outskirts: Due to soaring prices within the city, many homebuyers are turning their attention to the outer edge of Copenhagen. Suburbs like Rødovre, Hvidovre, and Brønshøj can acquire larger square footage at more ...
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.
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.
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 ...
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 ...
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.
4 minutes. Photo/Labiotech. Denmark's leading life science companies, public foundations, municipalities, universities and hospitals will work together to position Copenhagen as the world capital of life science through the newlylaunched Copenhagen Life Science partnership. Tackling obesity is the first step in this publicprivate partnership.
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 ...
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):
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.
The properties of the carbon materials obtained as the final product of coal tar pitch carbonization process are a consequence of the type of chemical and physical phenomena occurring through the process. A new simplified approach for modeling of the primary carbonization is presented to provide the semiquantitative knowledge about the process useful for improving the efficiency of the ...
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 ...
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
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 ...
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.
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].
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 ...
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 ...
The determination of operational parameters in the underground coal gasification (UCG) process should be considered in two aspects: first, the total coal in each UCG panel must be gasified and second, the calorific value of the produced gas should be acceptable. The main aim of this study is to present a model that meets these aspects and increasing the calorific value of syngas during this ...
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 ...
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 ...
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.
The estimation of β is denoted by B LS and calculated from (2) Y ^ = XB LS where Y ^ denotes estimation of coal calorific value. According to the least squares principle, B LS should minimize the value of ‖ YY ^ ‖ 2, and the solution of B LS is (3) B LS = (X ′ X)1 X ′ Y. Nonlinear regression modeling
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 ...
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.
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 ...
the input of sulfur, hydrogen, total water and analytic water; the high calorific value, low calorific value and cartridge calorific value of coal can be calculated automatically [910]. The difference between high calorific value and low calorific value lies in whether the water in fuel combustion products is liquid or gaseous. Water is liquid ...
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 ...
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 ...
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 ...
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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