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Life cycle assessment of fuel chip production from eucalypt forest residues

Name: Life cycle assessment of fuel chip production from eucalypt forest residues
Creator: Dias, Ana Cláudia
Keywords: Portugal, 020209 energy, 01050103 Biofuels/Biodegradable waste management, 02 engineering and technology, 010501 environmental sciences, 15. Life on land, 01 natural sciences, 02020901 Energy policy/Renewable energy commercialization/Renewable energy, Eucalyptus globulus, Logging residues

descriptionPublicationkeyboard_double_arrow_right Article , Journal 22 Nov 2013 Portugal Publisher:Springer Science and Business Media LLCJournal:The International Journal of Life Cycle Assessment, volume 19, pages 705-717 (issn: 0948-3349, eissn: 1614-7502,

Authors: Dias, Ana Cláudia;

doi: 10.1007/s11367-013-0671-4

handle: 10773/21142

Life cycle assessment of fuel chip production from eucalypt forest residues

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Abstract

Purpose Forest residues are becoming an increasingly important bioenergy feedstock. This study evaluates the environmental impacts associated with the production of fuel chips from eucalypt logging residues in Portugal, in order to identify the supply chains and machinery that bring the best environmental performance. Besides, the stages and operations with the largest environmental impact are identified.

Country

Portugal

Related Organizations

University of Aveiro
Portugal
University of Aveiro
Portugal

Keywords

Portugal, Eucalyptus globulus, Logging residues, Bioenergy, Life cycle assessment (LCA)

Impact byBIP!

	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).	27
	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).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%