2009
DOI: 10.1016/j.enpol.2008.09.054
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Multi Criteria Analysis for bioenergy systems assessments

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Cited by 191 publications
(121 citation statements)
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References 32 publications
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“…However, some criticism of NAIADE can be found, such as that made by Garmendia et al and Buchholz et al [52,54]. Garmendia et al mentioned that NAIADE's characteristic of not weighting criteria is potentially problematic, since some dimensions or criteria may be considered more important than others [52].…”
Section: Literature and Method: A Participatory Multi-criteria Framewmentioning
confidence: 93%
“…However, some criticism of NAIADE can be found, such as that made by Garmendia et al and Buchholz et al [52,54]. Garmendia et al mentioned that NAIADE's characteristic of not weighting criteria is potentially problematic, since some dimensions or criteria may be considered more important than others [52].…”
Section: Literature and Method: A Participatory Multi-criteria Framewmentioning
confidence: 93%
“…Social and ecological impacts are the direct inevitable consequences of biofuels system development. The current study has adopted the key criteria (which are converted into relevant variables and parameters) identified in the works of Buchholz et al [130,131] on sustainability criteria for bioenergy systems. The study analyzed how key bioenergy stakeholders and experts perceived the list of 35 initially identified sustainability criteria for bioenergy (as shown in Table 1) found in emerging sustainability assessment frameworks [1].…”
Section: Sustainable Supply Chain Of Biofuel Systemsmentioning
confidence: 99%
“…The authors define a set of criteria and methodologies suitable to assess the sustainability of bioenergy systems. Buchholz et al (2009a) analyzed different applications based on MCA methods; their work defines the possibilities of the integration of different MCA techniques, taking into account the uncertainty of the evaluation. Among several studies, different applications of MCA in biomass evaluation were also defined in Erdogmus et al (2006) by the description of the Analytic Network Process (ANP) and in Buchholz et al (2009b).…”
Section: Aggregation Of Parameters and Objective Functionsmentioning
confidence: 99%