Integrated Hybrid Life Cycle Optimization with Application to Sustainable Design of A UK Advanced Biofuel Supply Chain

Dajun Yue, Fengqi You

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

By combining life cycle assessment (LCA) with multi-objective optimization (MOO), the life cycle optimization (LCO) framework holds the promise not only to evaluate the environmental impacts for a given product but also to compare different alternatives and identify both ecologically and economically better decisions. Despite the recent methodological developments in LCA, most LCO applications are developed upon process-based LCA, which results in system boundary truncation and underestimation of the true impact. In this study, we propose a comprehensive LCO framework that seamlessly integrates MOO with integrated hybrid LCA. It quantifies both direct and indirect environmental impacts and incorporates them into the decision making process in addition to the more traditional economic criteria. The proposed LCO framework is demonstrated through an application on sustainable design of a potential bio-ethanol supply chain in the UK. Results indicate that the proposed hybrid LCO framework identifies a considerable amount of indirect greenhouse gas emissions (up to 58.4%) that are essentially ignored in process-based LCO.

Original languageEnglish (US)
Title of host publication26 European Symposium on Computer Aided Process Engineering, 2016
EditorsZdravko Kravanja, Milos Bogataj
PublisherElsevier B.V.
Pages2295-2300
Number of pages6
ISBN (Print)9780444634283
DOIs
StatePublished - 2016

Publication series

NameComputer Aided Chemical Engineering
Volume38
ISSN (Print)1570-7946

Keywords

  • biofuel supply chain
  • hybrid life cycle optimization
  • input-output-based LCA
  • multi-objective optimization
  • process-based LCA

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

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