Production optimization for concentration and volume-limited fed-batch reactors in biochemical processes.

Area of Science:

• Biochemical Engineering
• Process Systems Engineering
• Chemical Engineering

Background:

• Biochemical processes require strict constraint satisfaction to prevent safety and quality issues.
• Existing optimization methods may struggle with ensuring constraints are met throughout the entire operating time.

Purpose of the Study:

• To develop an adaptive optimization approach for fed-batch reactors that guarantees constraint satisfaction.
• To enhance the accuracy and efficiency of biochemical production optimization.

Main Methods:

• An improved smooth function transforms inequality constraints into smooth ones.
• An auxiliary state monitors violations within an augmented performance index.
• Control Variable Parameterization (CVP) combined with state sensitivity analysis ensures constraint satisfaction.

Main Results:

• The proposed method demonstrated superior optimization accuracy compared to pure penalty CVP and DOTcvp.
• The approach achieved a lower computation cost.
• Successful application to ethanol, penicillin, and protein production optimization.

Conclusions:

• The adaptive fed-batch reactor optimization method effectively ensures strict constraint satisfaction.
• This method offers improved performance in accuracy and computational efficiency for biochemical manufacturing.
• The approach provides a robust solution for critical biochemical production processes.