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EN
Biomass is most often used to produce energy via its combustion and co-combustion along with conventional energy carriers. The prevalence of this method results from the lack of sufficient facilities that can provide a quick and simple chemical classification method, which would show a broader range of possible applications of biofuel in the energy industry. The aim of this study was the development of novel method of classification allowing for quick determine of the direction of the biomass usage by applying classification and regression models of trees (C&RTs). The proper functioning of a C&RT model is based on a very large database of results collected by the Institute for Chemical Processing of Coal during years of work in this field. The created model may be used as decision tool for grouping various biomass sources with respect to their further application in energy generation. [...]
Open Chemistry
|
2013
|
tom 11
|
nr 4
610-618
EN
Chemometric methods are mostly used to optimise technological processes and analytical procedures. Applying chemometric methods in environmental tests may reveal relationships among chemical elements in biomes. Cluster analysis and principal component analysis (PCA) are very helpful for detecting relationships among studied parameters. However, large amounts of data may have a negative effect on this analysis and can lead to misinterpretation of the results. This situation was observed when the samples, taken from several places in the Silesian Province, were used to test the relationship between heavy metals contained in various environmental matrices. Samples were collected from a small area and were characterised by a single biome (pine forest) because direct interpretation of PCA and CA was insufficient to correctly describe such data. The solution to this problem was the use of the Box-Cox transformation, which is a rapid method to normalise input data. [...] The application of chemometric tools enabled the relationships between sampling sites (industrialised and non-industrialised) to be examined and was very helpful in illustrating the relationship between the methodologies of plant preparation samples. Furthermore, the results may indicate the need for further data analysis. The tools described in this paper can be useful for choosing the optimal mineralisation method according to the type of test matrix.
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