Regression Analysis between Ash Content and Ultimate Analysis Indexes for Bio-Fuels from the Biomass Power Plant

Abstract:

Woody biomass fuel from the biomass power plant was used as the test sample, of which ash content and C, H and O contents were measuredin this paper.To quantitative analysis the correlation between the woody bio-fuel ash contents and ultimate analysisindexes, the multivariate linear regression and error analysis methods were employed. In the developed regressionmodel, the ash content was recognized as the dependent variable and the contents of C, H and O are recognized as independent variables. Themodel result shows that the ash content of woody biomass has the significant negative correlation relationship with the contents of C, H and O elements.Moreover, the model prediction result also indicates that the prediction error would be minor if the ash content and C, H and O contentsare in the appropriate ranges which are defined by the proposed regression model.

• Periodical: Advanced Materials Research (Volumes 884-885)
• Pages: 507-511
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.884-885.507
• Online since: January 2014
• Authors: Zheng Hui Fu, Bing Wang, Guan Zhong Sun, Wei Li, Lei Liu
• Keywords: Ash, Bio-Fuel, Biomass Power Plant, Erroranalysis, Regression Analysis

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