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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Energyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Energy
Article . 1998 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Formation of dioxins and other semi-volatile organic compounds in biomass combustion

Authors: H.K. Chagger; Adrian McDonald; A. Kendall; Alan Williams; Mohamed Pourkashanian;

Formation of dioxins and other semi-volatile organic compounds in biomass combustion

Abstract

Abstract This paper identifies advantages of using biofuels and biomass mixed with coal in combustion. The availability of biomass with regard to landuse is reviewed, followed by a brief account of the combustion process and the concomitant formation of semi-volatile organic compounds. Chemical compositions of selected biofuels and coal are presented. Routes of formation for polychlorinated dibenzodioxins/furans (dioxins and furans) are illustrated with subsequent reference to associated emissions. Graphs in the paper show coal and biofuel propensities for forming dioxin and furan isomers followed by methods for predicting emission levels and isomer distributions within combustion systems. The final sections of the paper summarise recent equilibrium concentration studies and discuss the ongoing combustion experiments being conducted in the University of Leeds’ Department of Fuel and Energy. Preliminary results are presented and discussed, finishing with three main experimentally-drawn conclusions.

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    61
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
61
Top 10%
Top 10%
Average