Variables that affect the environmental performance of small electrical and electronic equipment. Methodology and case study
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https://doi.org/10.1016/j.jclepro.2018.08.240 |
Metadades
Títol
Variables that affect the environmental performance of small electrical and electronic equipment. Methodology and case studyAutoria
Data de publicació
2018-12Editor
ElsevierCita bibliogràfica
BOVEA, María D., et al. Variables that affect the environmental performance of small electrical and electronic equipment. Methodology and case study. Journal of Cleaner Production, 2018, 203: 1067-1084.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.sciencedirect.com/science/article/pii/S0959652618325897Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
This paper provides a methodology to identify the variables that affect the environmental performance of the life cycle of small electrical and electronic equipment (EEE). Different environmental indicators were ... [+]
This paper provides a methodology to identify the variables that affect the environmental performance of the life cycle of small electrical and electronic equipment (EEE). Different environmental indicators were contemplated as response variables, and five covariates were considered to potentially affect the life cycle of equipment: material weight, distribution, power, frequency of use and end-of-life. Different values per covariate were assumed. For material weight, power and frequency of use, three different levels were considered for each one: low, average and high. For distribution, three different distances were taken by simulating national, European and international distribution. For end-of-life, different scenarios were considered: using the equipment until the end of its life span, repairing it (assuming different repair types) or replacing it with a new one if it breaks before the end of its life span. The environmental impacts of each scenario obtained by combining these covariates were calculated by applying the Life Cycle Assessment (LCA) methodology using mid- and end-point impact assessment methods. The obtained environmental indicators were modelled by Integrated Nested Laplace Approximation (INLA) to identify the variables that affect the environmental performance. The methodology was applied to a sample of 10 categories of small household EEE. The results revealed that one general pattern was associated with all these categories: the covariates that statistically more affected the environmental impact of their life cycle were, in this order, frequency of use and power, followed by end-of-life strategies and material weight. [-]
Proyecto de investigación
Ministerio de Economía, Industria y Competitividad (Spain) (Project DPI2013-40815-R).Drets d'accés
© 2018 Elsevier Ltd. All rights reserved.
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info:eu-repo/semantics/restrictedAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/restrictedAccess
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