| Title | Advanced Modeling and Optimization Strategies for Process Synthesis |
|---|---|
| ID_Doc | 6280 |
| Authors | Pistikopoulos, EN; Tian, YH |
| Title | Advanced Modeling and Optimization Strategies for Process Synthesis |
| Year | 2024 |
| Published | |
| Abstract | This article provides a systematic review of recent progress in optimization-based process synthesis. First, we discuss multiscale modeling frameworks featuring targeting approaches, phenomena-based modeling, unit operation-based modeling, and hybrid modeling. Next, we present the expanded scope of process synthesis objectives, highlighting the considerations of sustainability and operability to assure cost-competitive production in an increasingly dynamic market with growing environmental awareness. Then, we review advances in optimization algorithms and tools, including emerging machine learning-and quantum computing-assisted approaches. We conclude by summarizing the advances in and perspectives for process synthesis strategies. |
No similar articles found.