Abstract
In this paper, a scalable framework is developed to analyze complex process networks consisting of multiple material integration loops. Using information on the orders of magnitude of different material flows, the framework identifies the time scales where different process units evolve, and the manipulated inputs available in each time scale, in an automated fashion. The application of the framework is illustrated via a case study on an example process network.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 586-591 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 28 |
| Issue number | 8 |
| DOIs | |
| State | Published - Jul 1 2015 |
| Event | 9th IFAC Symposium on Advanced Control of Chemical Processes, ADCHEM 2015 - Whistler, Canada Duration: Jun 7 2015 → Jun 10 2015 |
Bibliographical note
Funding Information:★ Financial support for this work by the National Science Founda-★ Financial support for this work by the National Science Founda-tioFni,ngarnacnitalCsBupEpTo-r1t13fo3r16th7,isiswgorraktebfyulltyheacNkantoiwonleadlgSecdi.ence Founda-tioFni,ngarnacnitalCsBupEpTo-r1t13fo3r16th7,isiswgorraktebfyulltyheacNkantoiwonleadlgSecdi.ence Foundation, grant CBET-1133167, is gratefully acknowledged.
Publisher Copyright:
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Keywords
- Graph theory
- Graphs
- Integrated plant control
- Networks
- Process control
- Reduction