Hierarchical Model Predictive Control for Waste Heat Recovery in Steel Mills
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| Titel: | Hierarchical Model Predictive Control for Waste Heat Recovery in Steel Mills |
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| Autoren: | Giacomelli, Gianluca, La Bella, Alessio, Lauricella, Marco, Breschi, Valentina, Scattolini, Riccardo |
| Quelle: | 2024 IEEE Conference on Control Technology and Applications (CCTA). :710-715 |
| Verlagsinformationen: | IEEE, 2024. |
| Publikationsjahr: | 2024 |
| Schlagwörter: | Industrial waste heat, Hierarchical control architectures, Model predictive control, Industrial water cooling system |
| Beschreibung: | We propose a novel, two-layered hierarchical scheme for waste heat recovery, here applied to the relevant case of the steel mill industry. To showcase the effectiveness of the proposed approach, we introduce a new recirculating water cooling system and conceive the hierarchical scene to maximize its operational efficiency while concurrently containing computational efforts. Our preliminary simulation results are promising, showcasing the advantages of the proposed solution in operational costs and computational capabilities. |
| Publikationsart: | Article Conference object |
| DOI: | 10.1109/ccta60707.2024.10666651 |
| Zugangs-URL: | https://research.tue.nl/en/publications/69858939-fb49-4af5-b030-ae57e446bc47 https://doi.org/10.1109/CCTA60707.2024.10666651 |
| Rights: | STM Policy #29 taverne |
| Dokumentencode: | edsair.doi.dedup.....9af2d588d8ed1421f7e479fd7152e5fe |
| Datenbank: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | We propose a novel, two-layered hierarchical scheme for waste heat recovery, here applied to the relevant case of the steel mill industry. To showcase the effectiveness of the proposed approach, we introduce a new recirculating water cooling system and conceive the hierarchical scene to maximize its operational efficiency while concurrently containing computational efforts. Our preliminary simulation results are promising, showcasing the advantages of the proposed solution in operational costs and computational capabilities. |
|---|---|
| DOI: | 10.1109/ccta60707.2024.10666651 |