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 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 ...
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.
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 energy value of coal, or fuel content, is the amount of potential energy coal contains that can be converted into heat. 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 the ...
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 ...
Given a 5% difference between gross and net calorific value, the net calorific value of coal was about 5,160 kcal kg −1 in 2005. From the perspective of coal consumers, demanding on highquality coal is growing as largescaled and standardized devices in energyintensive industries are more and more popular.
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 ...
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.
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.
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 ...
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 ...
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.
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
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=).
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 ...
The study offers a detailed cost analysis of Coal Production from Surface Mining. In addition, the report incorporates the manufacturing process with detailed process and material flow, operating costs along with financial expenses and depreciation charges. Details: Germany based plant Q2 2023 From USD.
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.
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 ...
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 ...
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.
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 ...
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 ...
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 ...
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.
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.
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 ...
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.
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 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
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.
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 ...
Akkaya (2022) adopted the Gaussian process regression (GPR) method to predict ... A novel artificial intelligence technique to estimate the gross calorific value of coal based on metaheuristic and support vector regression algorithms ... a survey of academic, industry and government coal geoscientists. Int. J. Coal Geol., 237 (2021), Article ...
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