Critical ash elements in biorefinery feedstock determined by X-ray spectroscopy

M. Thyrel, R. Samuelsson, M. Finell and T.A. Lestander

Applied Energy, 2013, vol. 102, issue C, 1288-1294

Abstract: 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.

Keywords: Biorefinery feedstock; X-ray fluorescence spectroscopy (XRF); Ash elements; Ash content; Calibration models (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626191200503X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:102:y:2013:i:c:p:1288-1294

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2012.06.058

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().