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https://dx.doi.org/10.5071/25t...
Conference object . 2017
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Characterization of Light and Heavy Phase of Pyrolysis-Oil from Distinct Biomass for Further Upgrading Reactions

Authors: Carriel-Schmitt, Caroline; Boscagli, Chiara; Rapp, Michael; Raffelt, Klaus; Dahmen, Nicolaus;

Characterization of Light and Heavy Phase of Pyrolysis-Oil from Distinct Biomass for Further Upgrading Reactions

Abstract

Bio-oil composition can differ depending on the biomass feedstock. Such information is essential if upgrading to a liquid fuel or to platform chemicals is intended. Furthermore, water and inorganic elements have to be taken into account for the catalyst selection. In this work, two bio-oils from wheat straw and beech wood were characterized by different techniques. Both were composed by a light and a heavy phase separately analyzed. The water content of the fractions differed over a wide range between 14.4 and 56.7 wt.% and therefore also the HHV (between 28.5 and 9.2 MJ/Kg). Both phases showed very low content of sulfur (<0.4 wt.%), which can have influence the lifetime of the catalyst. The 1H-NMR integration showed higher values in the regions of alkanes, carboxylic acid or keto-groups, and hetero-(aromatics) for both heavy phases, while light phases showed higher values in the water, O-H exchanging and carbohydrates region. So the heavy phases seem to be a good basis if phenols and its derivatives are expected and the light phases if alcohols are of interest. These results show that the bio-oils composition is essential for upgrading reactions, impacting on the products as well as on the choice of the catalyst.

Proceedings of the 25th European Biomass Conference and Exhibition, 12-15 June 2017, Stockholm, Sweden, pp. 1143-1147

Country
Germany
Related Organizations
Keywords

Technology, ddc:600, 600, info:eu-repo/classification/ddc/600, Biomass

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average