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Cited by 22Spectroscopy and Chemometric AnalysesForest Biomass Utilization and ManagementAgricultural and Food Sciences

Near infrared technique as a tool for the rapid assessment of waste wood quality for energy applications

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Mancini, M., Rinnan, Å.·2021·Renewable Energy
DOI 10.1016/j.renene.2021.05.137
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Abstract

Considering the focus of the current European policy in promoting the reuse of waste products and increasing the share of renewable energies, waste wood is becoming an appealing resource rather than a product to dispose of. End-life waste wood products could be used for the production of panel board or as feedstock in combustion units. In this study, waste wood samples have been collected in a big panel board company, and have been analyzed by means of Near Infrared Spectroscopy. Principal Component Analysis has been used in order to investigate the variability of the material, and Partial-Least Squares regression models have been developed for the prediction of moisture content and net calorific value. The results indicate that both models could be used in quality control applications, and Near Infrared Spectroscopy can be considered as a tool for the rapid evaluation of waste wood parameters for energy applications. Considering the high correlation between the two parameters it is also possible to analyze only the moisture content and have indications about the net calorific value using a simple linear regression, with positive effects in terms of quality control and the reuse of the waste wood material.

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  • Only a few grams of material are used for lab analysis compared to tons of waste wood handled, leading to reliability problems due to huge variability in material composition.

    “Only a few grams of material are used for the lab analysis compared to the tons of waste wood handled, leading to well-known problems of reliability of the results due to the huge variability in material composition [19,20].”

    From Classification of waste wood categories according to the best reuse using FT-NIR spectroscopy and chemometrics (2023) · cites this paper as [19]

    The Introduction and §2.1 describe waste wood as highly heterogeneous and emphasize representative sampling; §4 also refers to sampling problems with such material. But §2.2 reports using around 300 g for moisture analysis, and the paper does not state that only a few grams are analyzed relative to tons handled or that this makes laboratory results unreliable. (LLM, conf=0.84)

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Cited by

Sorted by citations

Authors
Mancini, M., & Rinnan, Å.
Affiliations
University of Copenhagen (DK)
Corresponding author
  • Mancini, M.
  • Rinnan, Å.
ORCID
Venue
Renewable Energy
Publisher
Elsevier BV
Published
2021-11
Volume
177
Pages
113-123
ISSN
0960-1481 (ISSN-L)
DOI
10.1016/j.renene.2021.05.137
OpenAlex
W3165200711
Cited by
22
References
1
Citations by year
2026: 3 · 2025: 2 · 2024: 6 · 2023: 5 · 2022: 4 · 2021: 2
FWCI
2.13
Type
journal article
Language
en
Open access
Licence
Locations
  • Renewable Energy (publishedVersion, cc-by)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Università Politecnica delle Marche (Università Politecnica delle Marche) (submittedVersion, cc-by)
Funders
Horizon 2020 Marie Skłodowska-Curie Actions
Topics
  • Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
  • Physical Sciences › Engineering › Mechanics of Materials › Forest Biomass Utilization and Management
  • Life Sciences › Agricultural and Biological Sciences › Forestry › Agricultural and Food Sciences
Keywords
wood waste, near-infrared spectroscopy, moisture content, lower heating value, wood quality assessment, quality control, waste reuse, renewable raw materials, combustion

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