Multiobjective optimization under uncertainty of the economic and life-cycle environmental performance of industrial processes
Metadata only
Autor(in)
Alle anzeigen
Datum
2014-06Typ
- Journal Article
ETH Bibliographie
no
Altmetrics
Abstract
The combined use of multiobjective optimization and life-cycle assessment (LCA) has recently emerged as a useful tool for minimizing the environmental impact of industrial processes. The main limitation of this approach is that it requires large amounts of data that are typically affected by several uncertainty sources. We propose herein a systematic framework to handle these uncertainties that takes advantage of recent advances made in modeling of uncertain LCA data and in optimization under uncertainty. Our strategy is based on a stochastic, multiobjective, and multiscenario mixed-integer nonlinear programming approach in which the uncertain parameters are described via scenarios. We investigate the use of two stochastic metrics: (1) the environmental impact in the worst case and (2) the environmental downside risk. We demonstrate the capabilities of our approach through its application to a generic complex industrial network in which we consider the uncertainty of some key life-cycle inventory parameters. © 2014 American Institute of Chemical Engineers. Mehr anzeigen
Publikationsstatus
publishedExterne Links
Zeitschrift / Serie
AIChE JournalBand
Seiten / Artikelnummer
Verlag
WileyThema
Multiobjective optimization; Life-cycle assessment; UncertaintyOrganisationseinheit
09655 - Guillén Gosálbez, Gonzalo / Guillén Gosálbez, Gonzalo
ETH Bibliographie
no
Altmetrics