The gross calorific value (GCV) of coal is important in both the direct use and conversion into other fuel forms of coals. The measurement of GCV usually requires sophisticated bomb calorimetric experimental apparatus and expertise, whereas proximate analysis is much cheaper, easier and faster to conduct. This paper presents the application of three regression models,, support vector ...
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.
Slovenian coal and estimation of coal heating value based on proximate analysis using regression and artificial neural networks. Central European Journal of Chemistry, 2013;
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.
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 ...
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 ...
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
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 ...
Estimation of Calorific Value of the Fuel ... (GCV) assumes all vapour produced during the combustion process is fully condensed. It is the total amount of heat produced, when unit mass/volume of the fuel has been burnt ... Factors affecting calorific value Calorific value of coal varies from one coal sample to another. It depends on the ash ...
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 ...
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 ...
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
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 ...
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
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 ...
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.
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 ...
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
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):
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 ...
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.
and calorific data collected from the coalbased industrial analysis data of each coalfired power plant, the drybased carbon content is weighted to calculate the content of the drybased carbon. And then calculate the carbon content per unit calorific value, and finally calculate the total CO 2 emissions in the past 5 years. It
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 ...
The bio coal had a calorific value of MJ/kg, moisture content of %, fixed carbon of % and ash content of %. The properties of the bio coal make it makes it usable as an alternative to coal and can be reintegrated back into the sugar processing industry as a substitute to coal. © 2018 The Autho s.
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 ...
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.
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 ...
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 ...
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 ...
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.
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.
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 ...
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].
calorific values for the rank classification o f highvolatile bituminous coals. It is also used f or estimating free or surface m oisture, s ince total moisture is equal to the sum of the ...
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