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Ingeniería Mecánica
versão On-line ISSN 1815-5944
Resumo
VEGA-CLAVIJO, Lili Tatiana; PRIAS-CAICEDO, Omar Fredy e SIERRA-VARGAS, Fabio Emiro. Renewable energy selection Matrix based on multi-attribute analysis for fish preservation. Ingeniería Mecánica [online]. 2016, vol.19, n.2, pp. 110-118. ISSN 1815-5944.
The article presents the application of the methodology of multi attribute utility theory validated by a matrix system established by researchers, to identify the best alternative of energy supply to 10 kwe in the generation of ice for preservation of fish in coastal and rural areas of the Chocó. The comparison between the potentials of different renewable energy sources and diesel, natural gas and propane fuels took place, based on economic, technological, environmental and social criteria, being validated by experts and the community on field work. It was concluded that the best alternative is diesel followed by biomass.
Palavras-chave : renewable energy; multi-attribute analysis; electricity generation; complex systems evaluation; fish conservation.