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dc.contributor.author
Pieragostini, Carla Antonela
dc.contributor.author
Mussati, Miguel Ceferino
dc.contributor.author
Aguirre, Pio Antonio
dc.date.available
2018-09-20T16:57:12Z
dc.date.issued
2012-04
dc.identifier.citation
Pieragostini, Carla Antonela; Mussati, Miguel Ceferino; Aguirre, Pio Antonio; On process optimization considering LCA methodology; Academic Press Ltd - Elsevier Science Ltd; Journal of Environmental Management; 96; 1; 4-2012; 43-54
dc.identifier.issn
0301-4797
dc.identifier.uri
http://hdl.handle.net/11336/60447
dc.description.abstract
The goal of this work is to research the state-of-the-art in process optimization techniques and tools based on LCA, focused in the process engineering field. A collection of methods, approaches, applications, specific software packages, and insights regarding experiences and progress made in applying the LCA methodology coupled to optimization frameworks is provided, and general trends are identified. The " cradle-to-gate" concept to define the system boundaries is the most used approach in practice, instead of the " cradle-to-grave" approach. Normally, the relationship between inventory data and impact category indicators is linearly expressed by the characterization factors; then, synergic effects of the contaminants are neglected. Among the LCIA methods, the eco-indicator 99, which is based on the endpoint category and the panel method, is the most used in practice. A single environmental impact function, resulting from the aggregation of environmental impacts, is formulated as the environmental objective in most analyzed cases. SimaPro is the most used software for LCA applications in literature analyzed. The multi-objective optimization is the most used approach for dealing with this kind of problems, where the ε-constraint method for generating the Pareto set is the most applied technique. However, a renewed interest in formulating a single economic objective function in optimization frameworks can be observed, favored by the development of life cycle cost software and progress made in assessing costs of environmental externalities. Finally, a trend to deal with multi-period scenarios into integrated LCA-optimization frameworks can be distinguished providing more accurate results upon data availability. © 2011 Elsevier Ltd.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Academic Press Ltd - Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Integrated Lca-Optimization Frameworks
dc.subject
Lca Software
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Lcia Methods
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Optimization Techniques
dc.subject.classification
Ingeniería Medioambiental y Geológica, Geotécnicas
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Ingeniería del Medio Ambiente
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
On process optimization considering LCA methodology
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-09-18T16:22:35Z
dc.journal.volume
96
dc.journal.number
1
dc.journal.pagination
43-54
dc.journal.pais
Reino Unido
dc.journal.ciudad
Oxford
dc.description.fil
Fil: Pieragostini, Carla Antonela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.description.fil
Fil: Mussati, Miguel Ceferino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.description.fil
Fil: Aguirre, Pio Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.journal.title
Journal of Environmental Management
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1016/j.jenvman.2011.10.014
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0301479711003951
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