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Integrating Hybrid Life Cycle Assessment with Multiobjective Optimization: A Modeling Framework.

Dajun Yue1, Shyama Pandya1, Fengqi You1

  • 1Department of Chemical and Biological Engineering, Northwestern University , Evanston, Illinois 60208, United States.

Environmental Science & Technology
|January 12, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid life cycle optimization (LCO) framework, integrating life cycle assessment (LCA) and multiobjective optimization (MOO). It reveals significant indirect emissions, improving environmental and economic decision-making for supply chains.

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Area of Science:

  • Environmental Science
  • Industrial Ecology
  • Operations Research

Background:

  • Life Cycle Optimization (LCO) combines Life Cycle Assessment (LCA) and Multiobjective Optimization (MOO) for evaluating product impacts and guiding decisions.
  • Existing LCO methods often rely on process-based LCA, leading to truncated system boundaries and underestimated environmental impacts.
  • There is a need for comprehensive LCO frameworks that account for both direct and indirect environmental effects.

Purpose of the Study:

  • To propose a comprehensive Life Cycle Optimization (LCO) framework integrating Multiobjective Optimization (MOO) with integrated hybrid Life Cycle Assessment (LCA).
  • To quantify direct and indirect environmental impacts alongside economic criteria for improved decision-making.
  • To demonstrate the framework's application in the sustainable design of a bioethanol supply chain.

Main Methods:

  • Integration of Multiobjective Optimization (MOO) with an integrated hybrid Life Cycle Assessment (LCA) methodology.
  • Quantification of both direct and indirect environmental impacts.
  • Application to a UK-based bioethanol supply chain to assess feedstock options and design strategies.

Main Results:

  • The hybrid LCO framework identified substantial indirect greenhouse gas emissions (up to 58.4%) previously overlooked by process-based LCO.
  • Woody biomass emerged as the most favorable feedstock for bioethanol production from a climate impact perspective.
  • A mixed feedstock of wheat and wheat straw was identified as the most cost-effective option for bioethanol production.

Conclusions:

  • The proposed integrated hybrid LCO framework offers a more complete assessment of environmental and economic trade-offs in supply chain design.
  • Accounting for indirect impacts is crucial for accurate environmental evaluation and sustainable decision-making.
  • The study provides valuable insights for optimizing bioethanol supply chains towards greater environmental and economic sustainability.