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Design and Optimization Strategies of a High-Performance Vented Box
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Design and optimization of poly(hydroxyalkanoate)s production plants using alternative substrates.

Fernando D Ramos1, Claudio A Delpino1, Marcelo A Villar1

  • 1Departamento de Ingeniería Química, Universidad Nacional del Sur (UNS), Planta Piloto de Ingeniería Química - PLAPIQUI (UNS-CONICET), Bahía Blanca, Argentina.

Bioresource Technology
|July 21, 2019
PubMed
Summary

This study presents an optimization model for poly(hydroxyalkanoate)s (PHA) production plants. The sugarcane-enzyme method is the most profitable, yielding $75 million NPV and costing $3.02/kg PHA.

Keywords:
MINLPModelingOptimizationPHASuperstructure

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Area of Science:

  • Biotechnology and Biochemical Engineering
  • Process Systems Engineering
  • Sustainable Materials

Background:

  • Poly(hydroxyalkanoate)s (PHAs) are biodegradable polymers with significant market potential.
  • Optimizing PHA production plant design is crucial for economic viability and sustainability.
  • Existing production models often lack comprehensive analysis of diverse feedstocks and extraction methods.

Purpose of the Study:

  • To develop a Mixed Integer Nonlinear Programming (MINLP) model for optimal PHA production plant configuration.
  • To evaluate various carbon sources and PHA extraction techniques.
  • To maximize the Net Present Value (NPV) of the PHA production project.

Main Methods:

  • A superstructure-based optimization model was formulated using MINLP.
  • The model incorporates detailed capital costs, mass and energy balances, product specifications, and operating constraints.
  • The objective function maximizes the project NPV, implemented in an equation-oriented environment.

Main Results:

  • The sugarcane-enzyme process emerged as the most economically promising option, achieving an NPV of $75.01 million.
  • This optimal configuration demonstrated an energy consumption of 22.56 MJ/kg PHA and a production cost of $3.02/kg PHA.
  • Economic sensitivity analysis was conducted to assess the robustness of the findings.

Conclusions:

  • The MINLP model provides a robust framework for optimizing PHA plant design.
  • The sugarcane-enzyme pathway offers a highly competitive route for sustainable PHA production.
  • Further economic sensitivity analysis can guide investment decisions in PHA manufacturing.