| 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 |
|
| DOI |
10.1146/annurev-chembioeng-100522-112139 |
| 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. |
| Author Keywords |
process synthesis; multiscale modeling; sustainability; circular economy; operability; superstructure modeling; optimization; software tools |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001278285600006 |
| WoS Category |
Chemistry, Applied; Engineering, Chemical |
| Research Area |
Chemistry; Engineering |
| PDF |
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