Equation-Oriented Approach for Handling the Perturbed-Chain SAFT Equation of State in Simulation and Optimization of Polymerization Processes

in engineering •  7 years ago 

By a News Reporter-Staff News Editor at Journal of Engineering -- A new study on Engineering - Chemical Engineering is now available. According to news reporting originating in Hangzhou, People’s Republic of China, by VerticalNews journalists, research stated, “The perturbed-chain SAFT (PC-SAFT) equation of state (EOS) is a very popular and promising model for fluids. Resolution of the PC-SAFT EOS is generally conducted by subroutine-based calculations that involve logical conditions.”

Financial supporters for this research include Ministry of Science and Technology of the People’s Republic of China, National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province.

The news reporters obtained a quote from the research from Zhejiang University, “This approach can lead to nonsmoothness and convergence issues when used with gradient-based solvers in an equation-oriented (EO) framework In this paper, we propose a novel EO approach for the PC-SAFT EOS embedded in large flowsheet optimization. First, the mathematical structure of the PC-SAFT EOS is analyzed through a digraph. It reveals that for polymerization systems, resolution of the PC-SAFT EOS is coupled not only by phase equilibrium but also by the polymerization kinetics. This feature strongly motivates implementation of both EOS resolution and process optimization in a complete EO framework A novel EO approach is proposed for selecting the appropriate root of the PC-SAFT EOS by incorporating thermal stability criteria to eliminate the undesirable roots. Numerical examples in simulation and optimization of flash drums are presented to demonstrate that the proposed EO formulation can always select the appropriate root. Finally, the EO formulation is applied for simulation and optimization of an industrial polymerization process.”

According to the news reporters, the research concluded: “The results show advantages of the proposed EO method compared to traditional sequential modular-based simulation software in terms of computational robustness and efficiency.”

For more information on this research see: Equation-Oriented Approach for Handling the Perturbed-Chain SAFT Equation of State in Simulation and Optimization of Polymerization Processes. Industrial & Engineering Chemistry Research , 2018;57(13):4607-4622. Industrial & Engineering Chemistry Research can be contacted at: Amer Chemical Soc, 1155 16TH St, NW, Washington, DC 20036, USA. (American Chemical Society - www.acs.org; Industrial & Engineering Chemistry Research - http://www.pubs.acs.org/journal/iecred)

Our news correspondents report that additional information may be obtained by contacting X. Chen, Zhejiang University, Coll Control Sci & Engn, State Key Lab Ind Control Technol, Hangzhou 310027, Zhejiang, People’s Republic of China. Additional authors for this research include L.Y. Zhu, S.J. Xu, Z.J. Shao and J.Y. Kang.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1021/acs.iecr.7b05044. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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CITATION: (2018-05-07), New Chemical Engineering Study Results from Zhejiang University Described (Equation-Oriented Approach for Handling the Perturbed-Chain SAFT Equation of State in Simulation and Optimization of Polymerization Processes), Journal of Engineering, 919, ISSN: 1945-872X, BUTTER® ID: 015627379

From the newsletter Journal of Engineering.
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