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Author Spotlight: Accelerating Discovery in Microporous Material Chemistry

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Advanced Modeling and Optimization Strategies for Process Synthesis.

Efstratios N Pistikopoulos¹, Yuhe Tian²

¹Texas A&M Energy Institute and Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas, USA;

Annual Review of Chemical and Biomolecular Engineering

|April 10, 2024

Summary

This summary is machine-generated.

This review covers advancements in optimization-based process synthesis, including multiscale modeling and expanded objectives like sustainability. It explores new algorithms and tools, such as machine learning and quantum computing, for future strategies.

Keywords:

circular economy multiscale modeling operability optimization process synthesis software tools superstructure modeling sustainability

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Area of Science:

Chemical Engineering
Process Systems Engineering

Background:

Optimization-based process synthesis is crucial for developing efficient and sustainable chemical processes.
Traditional approaches are evolving to address complex challenges in dynamic markets and environmental concerns.

Purpose of the Study:

To systematically review recent progress in optimization-based process synthesis.
To highlight advancements in modeling, objectives, and computational tools.

Main Methods:

Review of multiscale modeling frameworks (targeting, phenomena-based, unit operation-based, hybrid).
Analysis of expanded process synthesis objectives (sustainability, operability).
Survey of optimization algorithms and tools (machine learning, quantum computing).

Main Results:

Multiscale modeling offers diverse frameworks for process design.
Incorporating sustainability and operability enhances process competitiveness and environmental alignment.
Novel optimization approaches, including AI and quantum computing, are emerging.

Conclusions:

Significant advances have been made in optimization-based process synthesis.
Future strategies will likely integrate advanced modeling, broader objectives, and cutting-edge computational tools.