fuels. In India, coal as a fuel constitutes more than 50% of the total fossil fuel mix, used for energyrelated activities. Countryspecific CO 2 emission factors derived on the basis of the net calorific values1 (NCVs) of the different types of coal produced in the country, namely, coking, noncoking, and lignite have been used in this assessment.
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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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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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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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The present research work proposes an optimization procedure using Taguchi method and utility concept with the main objective of maximizing the calorific value of syngas with lower CO2 yield during coal gasification process using thermodynamic equilibrium model based on stoichiometric approach. After validating the model with experimental results, the effect of air supply and steam supply on ...
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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 ...
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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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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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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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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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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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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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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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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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However, relatively lower calorific value, coupled with high ash content and inefficient combustion technologies aggravates emission of greenhouse gases and other pollutants from India's coal and lignite based thermal power plants. Main emissions from coal fired and lignite based thermal power plants are CO. 2, NO. x, SO. x, and
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2. Methodology. Two sets of algorithms are designed to enable realtime coal change and type detection in a power plant. First, a Semisupervised Cascaded Clustering (SSCC) algorithm is designed for extracting coal classes from the historical sensor and coal label data from the plant, in a nonreal time manner.
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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.
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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
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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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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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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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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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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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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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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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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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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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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 ...
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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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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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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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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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