Relation between higher heating value and elemental and mineral biomass plant components
Keywords:
Modeling, Regression, Correlation, SelectionAbstract
The aims of this work were to evaluate the correlation, to adjust and select simple and multiple linear statistical models between elemental components (carbon, hydrogen and oxygen) and ash content with higher heating value for plant biomass; to use the principle components analysis for the creation of an energetic development index and to adjust a linear model between energetic development index and higher heating value. Eight types of biomass were used. Three linear and nine multiple statistical models were adjusted. The best models were selected based on the significance of coefficients, adjusted determination coefficient, estimative standard error, coefficient of variation, linearity of parameters, normality, presence of heterocedasticity and lack of error correlation. The variance inflation factor was determined for linear multiple models. High correlation between the variables studied was found. Models 1, 3 and 11 were considered most adequate. Practical use of model 2 is not possible. Principle components analysis was efficient in obtaining an energetic development index of lignocellulosic residues and it may be used for solving multicollinearity found between variables considered.
doi: 10.4336/2011.pfb.31.66.113
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Pesquisa Florestal Brasileira (PFB) licenses all its published content under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).
- Copyright: Authors maintain the copyright to their work. PFB holds the right to the first publication, and use rights under the specific Creative Commons deed.
- Editing and revision: PFB reserves the right to edit the original manuscript to ensure conformity with the standards, spelling and grammar of the Portuguese language, while respecting the style of the author(s). The final version of the text shall be sent to the corresponding author for approval prior to publication.
- Sharing and reuse: The CC BY-NC-ND 4.0 license permits sharing of the article in its original version, as long as credit is given to the journal and the authors and the material is not used for commercial purposes. No alterations or adaptations of the original content are permitted.
- Figures and illustrations: Figures and illustrations published in PFB may only be used with express prior authorization from Embrapa Forestry.
- Disclaimer: The opinions and beliefs expressed in the texts published herein are the exclusive responsibility of their respective authors and not PFB.


