Simultaneous Validation of Online Analyzers and Process Simulators by Process Data Reconciliation
We present a model based algorithm for simultaneous validation of online analysers and process simulators. Reconciled on-line and historical process data satisfying balance and model equations provides the opportunity to validate and improve process models and soft sensors. Accurate simulation resul...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2013-06-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/6612 |
| _version_ | 1819169474536800256 |
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| author | B. Farsang Z. Gomori G. Horvath G. Nagy S. Nemeth J. Abonyi |
| author_facet | B. Farsang Z. Gomori G. Horvath G. Nagy S. Nemeth J. Abonyi |
| author_sort | B. Farsang |
| collection | DOAJ |
| description | We present a model based algorithm for simultaneous validation of online analysers and process simulators. Reconciled on-line and historical process data satisfying balance and model equations provides the opportunity to validate and improve process models and soft sensors. Accurate simulation results and laboratory measurements can be used for the validation of online analysers. Validated and reconciled data can be used to the iterative and interactive identification of the unknown parameters of the simulator, e.g. for the determination of kinetic parameters. This method can also be used for monitoring and diagnostics of complex processes because situations when the operating conditions have been significantly changed can be discovered. The approach is illustrated by the analysis of an industrial hydrogenation system. We present the proposed iterative and interactive procedure of model development and analyser validation, the applied data reconciliation method, and the details of the case study. The results show the applicability of the proposed scheme in industrial environment and the benefits of the extracted information in the maintenance and monitoring of advanced model based process engineering tools. The developed tool can increase operating efficiency that is the key of reducing energy consumption and environmental impact. This is especially true in hydrocarbon industry where the operation of the technology is supported by process simulator and on-line analyser based advanced process control systems. |
| first_indexed | 2024-12-22T19:20:05Z |
| format | Article |
| id | doaj.art-d5ce268b2d8e4b88853fcb778659b174 |
| institution | Directory Open Access Journal |
| issn | 2283-9216 |
| language | English |
| last_indexed | 2024-12-22T19:20:05Z |
| publishDate | 2013-06-01 |
| publisher | AIDIC Servizi S.r.l. |
| record_format | Article |
| series | Chemical Engineering Transactions |
| spelling | doaj.art-d5ce268b2d8e4b88853fcb778659b1742022-12-21T18:15:25ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162013-06-013210.3303/CET1332218Simultaneous Validation of Online Analyzers and Process Simulators by Process Data ReconciliationB. FarsangZ. GomoriG. HorvathG. NagyS. NemethJ. AbonyiWe present a model based algorithm for simultaneous validation of online analysers and process simulators. Reconciled on-line and historical process data satisfying balance and model equations provides the opportunity to validate and improve process models and soft sensors. Accurate simulation results and laboratory measurements can be used for the validation of online analysers. Validated and reconciled data can be used to the iterative and interactive identification of the unknown parameters of the simulator, e.g. for the determination of kinetic parameters. This method can also be used for monitoring and diagnostics of complex processes because situations when the operating conditions have been significantly changed can be discovered. The approach is illustrated by the analysis of an industrial hydrogenation system. We present the proposed iterative and interactive procedure of model development and analyser validation, the applied data reconciliation method, and the details of the case study. The results show the applicability of the proposed scheme in industrial environment and the benefits of the extracted information in the maintenance and monitoring of advanced model based process engineering tools. The developed tool can increase operating efficiency that is the key of reducing energy consumption and environmental impact. This is especially true in hydrocarbon industry where the operation of the technology is supported by process simulator and on-line analyser based advanced process control systems.https://www.cetjournal.it/index.php/cet/article/view/6612 |
| spellingShingle | B. Farsang Z. Gomori G. Horvath G. Nagy S. Nemeth J. Abonyi Simultaneous Validation of Online Analyzers and Process Simulators by Process Data Reconciliation Chemical Engineering Transactions |
| title | Simultaneous Validation of Online Analyzers and Process Simulators by Process Data Reconciliation |
| title_full | Simultaneous Validation of Online Analyzers and Process Simulators by Process Data Reconciliation |
| title_fullStr | Simultaneous Validation of Online Analyzers and Process Simulators by Process Data Reconciliation |
| title_full_unstemmed | Simultaneous Validation of Online Analyzers and Process Simulators by Process Data Reconciliation |
| title_short | Simultaneous Validation of Online Analyzers and Process Simulators by Process Data Reconciliation |
| title_sort | simultaneous validation of online analyzers and process simulators by process data reconciliation |
| url | https://www.cetjournal.it/index.php/cet/article/view/6612 |
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