Multi-criteria analysis of cell-recycle based continuous lactic acid production process

Swaprabha P. Patel; Ashish M. Gujarathi; Piyush B. Vanzara

doi:10.1080/10426914.2023.2190387

Multi-criteria analysis of cell-recycle based continuous lactic acid production process

Swaprabha P. Patel, Ashish M. Gujarathi^*, Piyush B. Vanzara

^*Corresponding author for this work

Petroleum and Chemical Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

This study focuses on the optimization of the cell-recycle based continuous lactic acid (LA) fermentation production process with the estimation of improved kinetic parameters. The non-dominated sorting genetic algorithm II (NSGA-II) is used considering seven variables and five imposed constraints for multi-objective optimization (MOO) study. Three objectives namely LA productivity, substrate conversion, and yield are formed for the maximization purpose. Three different cases are constructed by using a combination of two bi-objectives and one tri-objective optimization problem, and the modified differential evolution (MDE) algorithm is used to individually optimize each case. Pareto ranking is carried out for MOO, and the best optimal solution is determined using the technique for order preference by similarity to the ideal solution (TOPSIS) method. The highest value of volumetric productivity of LA (184.363 kg/m³.h) is reported in case-4a. The highest yield (1.176) is reported in case-2, while the highest substrate conversion (0.963) is reported in case-1.

Original language	English
Pages (from-to)	1932-1941
Number of pages	10
Journal	Materials and Manufacturing Processes
Volume	38
Issue number	15
DOIs	https://doi.org/10.1080/10426914.2023.2190387
Publication status	Published - Mar 15 2023

Keywords

Biochemical
Differential Evolution
NSGA-II
Optimization
Productivity
TOPSIS
Yield

ASJC Scopus subject areas

General Materials Science
Mechanics of Materials
Mechanical Engineering
Industrial and Manufacturing Engineering

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10.1080/10426914.2023.2190387

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title = "Multi-criteria analysis of cell-recycle based continuous lactic acid production process",

abstract = "This study focuses on the optimization of the cell-recycle based continuous lactic acid (LA) fermentation production process with the estimation of improved kinetic parameters. The non-dominated sorting genetic algorithm II (NSGA-II) is used considering seven variables and five imposed constraints for multi-objective optimization (MOO) study. Three objectives namely LA productivity, substrate conversion, and yield are formed for the maximization purpose. Three different cases are constructed by using a combination of two bi-objectives and one tri-objective optimization problem, and the modified differential evolution (MDE) algorithm is used to individually optimize each case. Pareto ranking is carried out for MOO, and the best optimal solution is determined using the technique for order preference by similarity to the ideal solution (TOPSIS) method. The highest value of volumetric productivity of LA (184.363 kg/m3.h) is reported in case-4a. The highest yield (1.176) is reported in case-2, while the highest substrate conversion (0.963) is reported in case-1.",

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author = "Patel, {Swaprabha P.} and Gujarathi, {Ashish M.} and Vanzara, {Piyush B.}",

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N2 - This study focuses on the optimization of the cell-recycle based continuous lactic acid (LA) fermentation production process with the estimation of improved kinetic parameters. The non-dominated sorting genetic algorithm II (NSGA-II) is used considering seven variables and five imposed constraints for multi-objective optimization (MOO) study. Three objectives namely LA productivity, substrate conversion, and yield are formed for the maximization purpose. Three different cases are constructed by using a combination of two bi-objectives and one tri-objective optimization problem, and the modified differential evolution (MDE) algorithm is used to individually optimize each case. Pareto ranking is carried out for MOO, and the best optimal solution is determined using the technique for order preference by similarity to the ideal solution (TOPSIS) method. The highest value of volumetric productivity of LA (184.363 kg/m3.h) is reported in case-4a. The highest yield (1.176) is reported in case-2, while the highest substrate conversion (0.963) is reported in case-1.

AB - This study focuses on the optimization of the cell-recycle based continuous lactic acid (LA) fermentation production process with the estimation of improved kinetic parameters. The non-dominated sorting genetic algorithm II (NSGA-II) is used considering seven variables and five imposed constraints for multi-objective optimization (MOO) study. Three objectives namely LA productivity, substrate conversion, and yield are formed for the maximization purpose. Three different cases are constructed by using a combination of two bi-objectives and one tri-objective optimization problem, and the modified differential evolution (MDE) algorithm is used to individually optimize each case. Pareto ranking is carried out for MOO, and the best optimal solution is determined using the technique for order preference by similarity to the ideal solution (TOPSIS) method. The highest value of volumetric productivity of LA (184.363 kg/m3.h) is reported in case-4a. The highest yield (1.176) is reported in case-2, while the highest substrate conversion (0.963) is reported in case-1.

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KW - Optimization

KW - Productivity

KW - TOPSIS

KW - Yield

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Multi-criteria analysis of cell-recycle based continuous lactic acid production process

Abstract

Keywords

ASJC Scopus subject areas

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