Advanced Modeling and Optimization Strategies for Process Synthesis.

Journal: Annual review of chemical and biomolecular engineering
Published Date:

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.

Authors

  • Efstratios N Pistikopoulos
    † Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States.
  • Yuhe Tian
    Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia, USA; email: yuhe.tian@mail.wvu.edu.