A Robust Decomposition Methodology for Synthesis of Flexible Processes with Many Uncertainty Parameters – Application to HEN Synthesis
This contribution presents a new robust decomposition methodology for generating optimal flexible process flow sheets with a large number of uncertain parameters. During the initial steps, first-stage variables are determined by performing mixed-integer nonlinear programming (MINLP) synthesis of a f...
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| Format: | Article |
| Language: | English |
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Croatian Society of Chemical Engineers
2019-01-01
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| Series: | Chemical and Biochemical Engineering Quarterly |
| Subjects: | |
| Online Access: | http://silverstripe.fkit.hr/cabeq/assets/Uploads/02-2-4-2018.pdf |
| _version_ | 1818905381659738112 |
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| author | K. Zirngast Z. Kravanja Z. Novak Pintarič |
| author_facet | K. Zirngast Z. Kravanja Z. Novak Pintarič |
| author_sort | K. Zirngast |
| collection | DOAJ |
| description | This contribution presents a new robust decomposition methodology for generating optimal flexible process flow sheets with a large number of uncertain parameters. During the initial steps, first-stage variables are determined by performing mixed-integer nonlinear programming (MINLP) synthesis of a flow sheet at the nominal conditions, and then by exposing the obtained flow sheet sequentially over a set of extreme MINLP scenarios of uncertain parameters. As a result, the sizes of the flow-sheet units gradually increase, and/or new units are added until the required feasibility is achieved. After testing the flexibility of the obtained design, a Monte Carlo stochastic optimization of the second- stage variables is performed using a sampling method in order to obtain an optimum value of the expected objective variable. The advantages of the proposed methodology are the independence of process model sizes from the number of uncertain parameters, the straightforward use of deterministic models for incorporating uncertainty, and relatively simple execution of MINLP synthesis of processes under uncertainty. Thus, it could be used for designing large processes with a large number of uncertain parameters. The methodology is illustrated by synthesis of a flexible Heat Exchanger Network. |
| first_indexed | 2024-12-19T21:22:26Z |
| format | Article |
| id | doaj.art-e72fdc46b69a41f1ae76dedb49cd4ea1 |
| institution | Directory Open Access Journal |
| issn | 0352-9568 1846-5153 |
| language | English |
| last_indexed | 2024-12-19T21:22:26Z |
| publishDate | 2019-01-01 |
| publisher | Croatian Society of Chemical Engineers |
| record_format | Article |
| series | Chemical and Biochemical Engineering Quarterly |
| spelling | doaj.art-e72fdc46b69a41f1ae76dedb49cd4ea12022-12-21T20:05:12ZengCroatian Society of Chemical EngineersChemical and Biochemical Engineering Quarterly0352-95681846-51532019-01-0132440141110.15255/CABEQ.2018.1400A Robust Decomposition Methodology for Synthesis of Flexible Processes with Many Uncertainty Parameters – Application to HEN SynthesisK. Zirngast0 Z. Kravanja1Z. Novak Pintarič2Faculty of Chemistry and Chemical Engineering, University of Maribor, Maribor, SloveniFaculty of Chemistry and Chemical Engineering, University of Maribor, Maribor, SloveniFaculty of Chemistry and Chemical Engineering, University of Maribor, Maribor, SloveniThis contribution presents a new robust decomposition methodology for generating optimal flexible process flow sheets with a large number of uncertain parameters. During the initial steps, first-stage variables are determined by performing mixed-integer nonlinear programming (MINLP) synthesis of a flow sheet at the nominal conditions, and then by exposing the obtained flow sheet sequentially over a set of extreme MINLP scenarios of uncertain parameters. As a result, the sizes of the flow-sheet units gradually increase, and/or new units are added until the required feasibility is achieved. After testing the flexibility of the obtained design, a Monte Carlo stochastic optimization of the second- stage variables is performed using a sampling method in order to obtain an optimum value of the expected objective variable. The advantages of the proposed methodology are the independence of process model sizes from the number of uncertain parameters, the straightforward use of deterministic models for incorporating uncertainty, and relatively simple execution of MINLP synthesis of processes under uncertainty. Thus, it could be used for designing large processes with a large number of uncertain parameters. The methodology is illustrated by synthesis of a flexible Heat Exchanger Network.http://silverstripe.fkit.hr/cabeq/assets/Uploads/02-2-4-2018.pdfdecomposition methodologyflexibilityuncertaintysynthesis of flow sheetsHeat Exchanger Network |
| spellingShingle | K. Zirngast Z. Kravanja Z. Novak Pintarič A Robust Decomposition Methodology for Synthesis of Flexible Processes with Many Uncertainty Parameters – Application to HEN Synthesis Chemical and Biochemical Engineering Quarterly decomposition methodology flexibility uncertainty synthesis of flow sheets Heat Exchanger Network |
| title | A Robust Decomposition Methodology for Synthesis of Flexible Processes with Many Uncertainty Parameters – Application to HEN Synthesis |
| title_full | A Robust Decomposition Methodology for Synthesis of Flexible Processes with Many Uncertainty Parameters – Application to HEN Synthesis |
| title_fullStr | A Robust Decomposition Methodology for Synthesis of Flexible Processes with Many Uncertainty Parameters – Application to HEN Synthesis |
| title_full_unstemmed | A Robust Decomposition Methodology for Synthesis of Flexible Processes with Many Uncertainty Parameters – Application to HEN Synthesis |
| title_short | A Robust Decomposition Methodology for Synthesis of Flexible Processes with Many Uncertainty Parameters – Application to HEN Synthesis |
| title_sort | robust decomposition methodology for synthesis of flexible processes with many uncertainty parameters application to hen synthesis |
| topic | decomposition methodology flexibility uncertainty synthesis of flow sheets Heat Exchanger Network |
| url | http://silverstripe.fkit.hr/cabeq/assets/Uploads/02-2-4-2018.pdf |
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