Thyrel, Mikael
- Department of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences
Research article2013Peer reviewed
Thyrel, Mikael; Samuelsson, Robert; Finell, Michael; Lestander, Torbjörn
Solid biomass as a biorefinery feedstock is physically and chemically heterogeneous which stress the need for rapid and accurate methods for characterization and classification. In this study, stem wood, hemp, grape and olive residues were characterized using X-ray fluorescence (XRF) spectroscopy and principal component analysis. XRF spectra were processed by partial least squares (PLSs) regression and used to construct calibration models for several important ash-related elements. The models for the ash's phosphorous, aluminium and ash contents all had excellent predictive accuracy, with performance-to-deviation ratios above three. The models for the potassium, silica, calcium, sodium and magnesium content exhibited lower predictive accuracies. Relevant energy intervals (bins) were selected using interval PLS and variable importance on projection scores. In most cases, bin-selection increased the models' predictive accuracy and facilitated their interpretation.
Biorefinery feedstock; X-ray fluorescence spectroscopy (XRF); Ash elements; Ash content; Calibration models
Applied Energy
2013, Volume: 102, number: SI, pages: 1288-1294 Publisher: ELSEVIER SCI LTD
Renewable Bioenergy Research
Bioengineering Equipment
Other Chemical Engineering
DOI: https://doi.org/10.1016/j.apenergy.2012.06.058
https://res.slu.se/id/publ/40861