TY - JOUR
T1 - Model-based optimization approaches for pressure-driven membrane systems
AU - Rizki, Zulhaj
AU - Ottens, Marcel
PY - 2023
Y1 - 2023
N2 - Membrane technology is commonly used within food, bio- and pharmaceutical processes. Beside single-stage membranes, multi-stage membrane systems are become more popular to improve separation performance. In this review, we present a unified four-phase model-based optimization framework to optimize these systems, using mechanistic models, empirical models including machine learning models, or a combination of them. We begin by providing a general overview and outlining the steps to construct each phase in the framework. The importance of each stage and critical points to consider are discussed. We then provide detailed information for each phase, including the governing equations from known literature models. Finally, we explore the platform's potential applications and outlook. Despite the great potential of an integrated approach, studies thus far focus either on extensive membrane modeling with brute-force optimization via simple comparison or on meticulous optimization using an oversimplified membrane model. We believe that the integrated framework can bridge the well justified approaches in both filtration modeling and mathematical optimization and help in designing multi-unit processes.
AB - Membrane technology is commonly used within food, bio- and pharmaceutical processes. Beside single-stage membranes, multi-stage membrane systems are become more popular to improve separation performance. In this review, we present a unified four-phase model-based optimization framework to optimize these systems, using mechanistic models, empirical models including machine learning models, or a combination of them. We begin by providing a general overview and outlining the steps to construct each phase in the framework. The importance of each stage and critical points to consider are discussed. We then provide detailed information for each phase, including the governing equations from known literature models. Finally, we explore the platform's potential applications and outlook. Despite the great potential of an integrated approach, studies thus far focus either on extensive membrane modeling with brute-force optimization via simple comparison or on meticulous optimization using an oversimplified membrane model. We believe that the integrated framework can bridge the well justified approaches in both filtration modeling and mathematical optimization and help in designing multi-unit processes.
KW - Mechanistic models
KW - Membrane
KW - Modeling
KW - Neural networks
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85151361483&partnerID=8YFLogxK
U2 - 10.1016/j.seppur.2023.123682
DO - 10.1016/j.seppur.2023.123682
M3 - Review article
AN - SCOPUS:85151361483
SN - 1383-5866
VL - 315
JO - Separation and Purification Technology
JF - Separation and Purification Technology
M1 - 123682
ER -