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Characterization of fast pyrolysis bio-oil properties by near-infrared spectroscopic data

Lestander, Torbjörn (författare)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Skogens biomaterial och teknologi,Department of Forest Biomaterials and Technology,SLU Swedish University of Agricultural Sciences, Sweden
Sandström, Linda (författare)
RISE,ETC Energy Technology Center
Wiinikka, Henrik (författare)
RISE,ETC Energy Technology Center
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Öhrman, Olov (författare)
RISE,ETC Energy Technology Center
Thyrel, Mikael (författare)
Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Skogens biomaterial och teknologi,Department of Forest Biomaterials and Technology,SLU Swedish University of Agricultural Sciences, Sweden
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 (creator_code:org_t)
 
Elsevier BV, 2018
2018
Engelska.
Ingår i: Journal of Analytical and Applied Pyrolysis. - : Elsevier BV. - 0165-2370 .- 1873-250X. ; 133, s. 9-15
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Pyrolysis transforms bulky and heterogeneous lignocellulosic biomass into more easily-handled oils that can be upgraded into bio-based transportation fuels. Existing systems for monitoring pyrolysis processes and characterizing their products rely on slow and time-consuming wet chemical analyses. On-line near-infrared (NIR) spectroscopy could potentially replace such analyses, providing real-time data and reducing costs. To test the usefulness of NIR methods in characterizing pyrolysis oils and processes, biomass from conifers, Salix, and reed canary grass was milled and pyrolyzed at 675, 750, and 775 °C. Two separate pyrolytic fractions (aerosol and condensed) were produced in each experiment, and NIR spectra were collected for each fraction. Multivariate modelling of the resulting data clearly showed that the samples’ NIR spectra could be used to accurately predict important properties of the pyrolysis oils such as their energy values, main organic element (C, H and O) contents, and water content. The spectra also contained predictive information on the samples’ origins, fraction, and temperature treatment, demonstrating the potential of on-line NIR techniques for monitoring pyrolytic production processes and characterizing important properties of pyrolytic oils from lignocellulosic biomass.

Ämnesord

NATURVETENSKAP  -- Kemi -- Fysikalisk kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences -- Physical Chemistry (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Industriell bioteknik -- Bioenergi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Industrial Biotechnology -- Bioenergy (hsv//eng)

Nyckelord

OPLS-DA
PCA
Prediction
Pyrolysis cyclone
Reed canary grass
Wood-based biomass
Biomass
Chemical analysis
Cracking (chemical)
Forecasting
Water content
Fast pyrolysis bio-oil
Lignocellulosic biomass
Predictive information
Temperature treatments
Transportation fuels
Wet chemical analysis
Infrared devices

Publikations- och innehållstyp

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