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A Multiobjective Optimization Including Results of Life Cycle Assessment in Developing Biorenewables-Based Processes.

Daniel Helmdach1, Polina Yaseneva1,2, Parminder K Heer1,2

  • 1Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, CB3 0AS, Cambridge, UK.

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Summary

A new decision support tool uses multiobjective optimization to balance environmental impacts and process costs for biorenewable manufacturing. This approach aids in developing sustainable energy and chemical solutions by identifying optimal process designs.

Keywords:
biomasscircular economylife cycle assessmentsmultiobjective optimizationprocess modeling

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Area of Science:

  • Chemical Engineering
  • Environmental Science
  • Process Systems Engineering

Background:

  • Developing biorenewable energy solutions and chemicals requires balancing environmental impacts and economic viability.
  • Traditional methods struggle to optimize complex processes with multiple competing objectives.
  • Optimization-based decision-making is crucial for sustainable manufacturing.

Purpose of the Study:

  • To develop a decision support tool utilizing global multiobjective optimization.
  • To integrate life cycle assessment (LCA) for environmental impact evaluation.
  • To incorporate rigorous process models for cost analysis.

Main Methods:

  • Global multiobjective optimization framework.
  • Full life cycle assessment (LCA) for environmental impact evaluation.
  • Rigorous process modeling for cost estimation.
  • Case study: conversion of terpenes from biowaste into reactive intermediates.

Main Results:

  • Demonstrated functionality of the optimization-based process development framework.
  • Developed a life cycle inventory for crude sulfate turpentine.
  • Implemented a two-step chemical conversion/separation process model.
  • Identified a region of Pareto-optimal solutions through multiobjective optimization.

Conclusions:

  • The developed tool effectively supports decision-making in biorenewable manufacturing.
  • Multiobjective global optimization is a powerful approach for sustainable process design.
  • The case study highlights the practical application and benefits of the framework.