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Calorific Value Prediction of Coal Based on Least Squares Support Vector Regression
2016The 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 minimal computational
Kuaini Wang +3 more
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Prediction of Calorific Value of Coal Using Real Power Plant Data
2012With the depletion of coal in the world, coal quality fluctuates and deviates greatly from the designed coal in many large scale coal-fired power plants. This increases the coal consumption while reduces the boiler combustion efficiency and stability. Thus, it is very important to conduct real-time measurement to the quality of the coal for optimizing ...
Haiyu Liu +6 more
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Prediction of calorific value of syngas produced from oil-palm fronds gasification
2011 National Postgraduate Conference, 2011The calorific value (CV) of syngas produced from gasification of solid biomass varies depending on the type of biomass as well as the gasifier type. Moreover, the interdependent operating conditions like reactor temperature, moisture content of biomass, and air fuel ratio play a major role in the composition as well as calorific value of syngas.
Samson M. Atnaw +2 more
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Prediction of calorific value of biomass based on elemental analysis
2018Thirty nine different biomasssamples ranging from various herbaceous/woody materials to juice pulps wereused to develop linear as well as non-linear empirical equations that predictthe lower heating value (LHV) and the higher heating value (HHV) based on theelemental analysis (C, H, N, O, and S) results of the biomass species.
ÖZYUĞURAN, Ayşe +2 more
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Transfer Learning Approach For Predicting The Calorific Value Of Food
2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2021Bindu R +4 more
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Prediction Research Based on the Optimized BP Neural Network for Coal Calorific Value
2012 Spring Congress on Engineering and Technology, 2012The calorific value of coal is an important factor for the economic operation of coal fired power plant. However calorific value is tremendous difference between the different coal, and even if coal is from the same mine. Restricted by the coal market, most of coal fired power plants can not burn the designed-coal by now in China.
Yuan Jing +3 more
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The Prediction Model and Application for Net Calorific Value of Biomass Power Plant Fuel
Advanced Materials Research, 2013A quantitative multivariate linear regression equation is established with the net calorific value of woody biomass fuel as the dependent variable and proximate analysis indexes as the independent variables. The prediction effect of the regression model is evaluated by the error analysis method. Results show that within the variable application ranges,
Hong Liang Zhang +3 more
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Predictions of Gross Calorific Value of Indian Coals from their Moisture and Ash Content
Journal of the Geological Society of India, 2019ABSTRACT 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 for many end users purchasing coal from suppliers, as it provides a clear measure of the useful energy content of a coal.
Priya Kumari +3 more
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Development of a new proximate analysis based correlation to predict calorific value of coal
Fuel, 2008Abstract The experimental determination of higher heating value (HHV) of solid fuels is a cost intensive process, as it requires special instrumentation and highly trained analyst to operate it, where as proximate analysis data can be obtained relatively easily using an ordinary muffle furnace.
A MAJUMDER +3 more
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Model-driven soft sensor for predicting biomass calorific value in combustion power plants
2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), 2016An efficient way to exploit the chemical energy contained in the biomass is combustion using the state-of-the-art grate-firing systems, one of the most competitive and market-proven technology being currently used in Europe for power production: electricity and/or steam for district heating, which are offered on the market with capacities that range ...
Fethi Belkhir, Georg Frey
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