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Process performance models in the optimization of multiproduct protein production plants
J M Pinto1, J M Montagna, A R Vecchietti
1Department of Chemical Engineering University of São Paulo, São Paulo, Brazil.
Biotechnology and Bioengineering
|August 9, 2001
Summary
This study introduces a new model for optimizing multiproduct batch plant design, considering both process variables and plant structure. The model enhances plant design by incorporating process performance models, leading to improved efficiency in recombinant protein production.
Area of Science:
- Biochemical Engineering
- Process Systems Engineering
- Chemical Engineering
Background:
- Multiproduct batch plants are crucial for producing various biopharmaceuticals like recombinant proteins.
- Traditional models often use constant time and size factors, which may not fully capture process dynamics.
- Optimizing both plant structure and process variables is key to efficient biomanufacturing.
Purpose of the Study:
- To develop a comprehensive model for simultaneously optimizing the structure and process variables of multiproduct batch plants.
- To integrate process performance models into the optimization framework for enhanced design.
- To improve the design and efficiency of plants producing recombinant proteins.
Main Methods:
- Developed a mixed-integer nonlinear programming (MINLP) model incorporating process performance equations.
- Represented the multiproduct batch plant using a posynomial formulation.
- Used analytical integration of mass balances and kinetic expressions to derive process performance models.
- Optimized plant structure (unit configuration, storage tanks) and decision variables (equipment size, batch size, operating times, process parameters).
Main Results:
- The proposed model successfully integrated process performance models as additional constraints within a standard plant model framework.
- Optimization of an eight-stage plant for producing four recombinant proteins demonstrated the model's capability.
- The inclusion of process performance models provided additional degrees of freedom, leading to significant improvements in plant design compared to fixed factor models.
Conclusions:
- The developed model offers a significant advancement in multiproduct batch plant design by simultaneously optimizing structure and process variables.
- Process performance models are crucial for capturing the influence of process variables on time and size factors, leading to better designs.
- This approach enhances the efficiency and effectiveness of biopharmaceutical manufacturing, particularly for recombinant protein production.