process coal calorific value estimation in industries

Proximate data of coal (as received basis) along with the GCV data.

Proximate data of coal (as received basis) along with the GCV data.

WEBIn 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 ...

Carbon dioxide emission factor estimation from Indonesian coal

Carbon dioxide emission factor estimation from Indonesian coal

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.

Syngas Production from Biomass Gasifiion ...

Syngas Production from Biomass Gasifiion ...

WEBAug 21, 2023 · Syngas from biomass gasifiion can be used in downstream process industries such as city gas, hydrogen production, etc. In this review, the effects of biomass feedstock properties, and gasifiion reaction conditions (temperature, gasifier type, etc.) on syngas properties are systematically reviewed. In summary, the cracking and .

Machine learning prediction of calorific value of coal based on .

Machine learning prediction of calorific value of coal based on .

WEBApr 12, 2022 · CV calorific value. HHV higher heating value. SVM support vector machine. ACE alternating conditional expectation. BPNN back propagation neural network. SVR support vector regression. ANN artificial neural network. MVR multivariate regression. RF random forest. WNN swavelet neural networks. M moisture

Modeling of gross calorific value based on coal properties

Modeling of gross calorific value based on coal properties

WEBMar 10, 2017 · Gross calorific value (GCV) is one the most important coal combustion parameters for power plants. Modeling of GCV based on coal properties could be a key for estimating the amount of coal consumption in the combustion system of various plants. In this study, support vector regression (SVR) as a powerful prediction method has been .

Energy value of coal

Energy value of coal

WEBThe energy value of coal, or fuel content, is the amount of potential energy coal contains that can be converted into heat. [1] 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 ...

Estimation of coal gross calorific value based on various .

Estimation of coal gross calorific value based on various .

WEBAug 1, 2016 · 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 ...

(PDF) Prediction of gross calorific value of coal based on .

(PDF) Prediction of gross calorific value of coal based on .

WEBSep 28, 2018 · Calorific value is an important indior to evaluate the comprehensive quality of coal, and its realtime and rapid analysis is of great significance for optimizing the coal blending process and ...

Enhanced Biomass Characteristics Index in palm biomass calorific value .

Enhanced Biomass Characteristics Index in palm biomass calorific value .

WEBJul 25, 2016 · A Biomass Characteristics Index (BCI) is proposed to represent the relationship between bulk density and moisture content. A numerical framework is developed to determine the BCI. This index is used to estimate the biomass bulk density and moisture content before the calorific value calculation. A regression graph is .

Determination of calorific value in coal by LIBS coupled

Determination of calorific value in coal by LIBS coupled

WEBMay 11, 2021 · Coal remains the most important source of energy in many countries. Thermal power plants and coal industry have an urgent need for realtime analysis of coal properties, especially for calorific value of coal, because the coal price is mainly dependent on its calorific value [1, 2].Currently, the Xray fluorescence (XRF) and .

Datadriven computational approaches to estimate gross calorific value .

Datadriven computational approaches to estimate gross calorific value .

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.

Online identifiion of the lower heating value of the coal .

Online identifiion of the lower heating value of the coal .

WEBDOI: / Corpus ID: ; Online identifiion of the lower heating value of the coal entering the furnace based on the boilerside whole process models

Coal higher heating value prediction using constituents of .

Coal higher heating value prediction using constituents of .

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

Numerical Methods to Estimate Biomass Calorific Values via .

Numerical Methods to Estimate Biomass Calorific Values via .

WEBSep 26, 2018 · Typical calorific value for 45% moisture content of green wood chunks is 10 MJ/kg (refer to Fig. 7). Therefore, the estimated energy density of green wood chunks is calculated as 3500 MJ/m 3 (=350 kg/m 3 × 10 MJ/kg). For the kiln dry wood chunks of 45% moisture content, the calorific value is reported as MJ/kg . This means that the .

A review of coal heating value correlations with appliion to coal ...

A review of coal heating value correlations with appliion to coal ...

WEBJan 1, 2021 · 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. ... While these models show some promise in predicting the higher heating value of coal tar postpyrolysis, a larger data set would benefit this analysis and allow for greater confidence in .

Determination of Uncertainty in Gross Calorific Value of Coal .

Determination of Uncertainty in Gross Calorific Value of Coal .

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 .

Proximate data of coal (as received basis) along with the GCV data.

Proximate data of coal (as received basis) along with the GCV data.

WEBBhabani S. Das. 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 ...

Research on onsite measurement factors and performance of coal ...

Research on onsite measurement factors and performance of coal ...

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 .

Estimation of waste heat and its recovery potential from energy ...

Estimation of waste heat and its recovery potential from energy ...

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 .

Estimation of higher heating value of coal based on proximate .

Estimation of higher heating value of coal based on proximate .

WEBDOI: / Corpus ID: ; Estimation of higher heating value of coal based on proximate analysis using support vector regression article{Peng2015EstimationOH, title={Estimation of higher heating value of coal based on proximate analysis using support vector regression}, author={Tan Peng and Cheng .

Calorific Value of Fuels: Definition, How to Calculate, Liquid Fuel .

Calorific Value of Fuels: Definition, How to Calculate, Liquid Fuel .

WEBEstimate the higher calorific value and the lower calorific value of this fuel, taking the specific enthalpy of the water vapour formed by combustion to be 2442 kJ/kg. Solution: One kg of carbon burning to CO2 liberates 35000 kJ, and one kg of hydrogen liberates 143000 kj, when the products of combustion are cooled down to 25°C.

Comparative study of regression modeling methods for online coal .

Comparative study of regression modeling methods for online coal .

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 ...

Process design and optimization on selfsustaining pyrolysis and ...

Process design and optimization on selfsustaining pyrolysis and ...

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. •

Bomb Calorimeter: Definition, Construction, Working, Uses, .

Bomb Calorimeter: Definition, Construction, Working, Uses, .

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.

A review of coal heating value correlations with appliion to coal ...

A review of coal heating value correlations with appliion to coal ...

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.

Estimation of low calorific value of blended coals based on .

Estimation of low calorific value of blended coals based on .

WEBJan 1, 2019 · DOI: / Corpus ID: ; Estimation of low calorific value of blended coals based on support vector regression and sensitivity analysis in coalfired power plants

A review of coal heating value correlations with appliion to coal ...

A review of coal heating value correlations with appliion to coal ...

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 ...

Parametric study of different biomass feedstocks used for

Parametric study of different biomass feedstocks used for

WEBJul 30, 2021 · Biomass gasifiion is one of the prominent methods of utilizing biomass for energy generation. There is a huge potential for biomass utilization because of its renewable nature. Also there are different biomass feedstock materials available in nature. These feedstock materials can be analysed in the gasifiers for their efficacy. Downdraft .

Estimation of low calorific value of blended coals based on .

Estimation of low calorific value of blended coals based on .

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.

Coal gasifiion process optimization for maximum calorific value .

Coal gasifiion process optimization for maximum calorific value .

WEBJan 6, 2021 · Request PDF | Coal gasifiion process optimization for maximum calorific value and minimum CO2 emission using Taguchi method and utility concept | The present research work proposes an ...

Coal higher heating value prediction using constituents of .

Coal higher heating value prediction using constituents of .

WEBJul 5, 2020 · 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 predicti...

Calorific value estimation of biomass from their proximate analyses ...

Calorific value estimation of biomass from their proximate analyses ...

WEBJan 31, 2010 · Different 13 new formulae have been developed for estimating the calorific values of 20 different biomass samples from their proximate analyses data.

Estimation of gross calorific value based on coal analysis using ...

Estimation of gross calorific value based on coal analysis using ...

WEBJul 1, 2009 · Relationships of ultimate and proximate analysis of 4540 US coal samples from 25 states with gross calorific value (GCV) have been investigated by regression and artificial neural networks (ANNs) methods. Three set of inputs: (a) volatile matter, ash and moisture (b) C, H, N, O, S and ash (c) C, H exclusive of moisture, N, O exclusive of .

Prediction of higher heating value of coal based on gradient .

Prediction of higher heating value of coal based on gradient .

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 .