The Prediction Model and Application for Net Calorific Value of Biomass Power Plant Fuel

Hong Liang Zhang; Dian Zhen Fu; Pan Zhang; Wei Li

doi:10.4028/www.scientific.net/AMR.781-784.2420

Paper Titles

Neural Network Simulation for Mass Transfer Coefficient of Alcohol/Ether Fuel Direct Synthesis
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Performance Analysis of Supercritical Organic Rankine Cycles
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Roles of the Porosity and Surface Oxygen Groups on the Adsorption of Methane on Coals
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Hydrogen-Rich Gas Formation Characteristics under Microwave Catalytic Pyrolysis of Sewage Sludge
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 781-784The Prediction Model and Application for Net...

The Prediction Model and Application for Net Calorific Value of Biomass Power Plant Fuel

Abstract:

A 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, the prediction error of the multiple linear regression model developed is small, and it could provide basis and reference for the calorific value prediction of woody biomass.

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Periodical:

Advanced Materials Research (Volumes 781-784)

Pages:

2420-2424

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.781-784.2420

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Online since:

September 2013

Authors:

Hong Liang Zhang, Dian Zhen Fu, Pan Zhang, Wei Li

Keywords:

Biomass Fuel, Error Analysis, Net Calorific Value, Proximate Analysis, Regression Model

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