Generating Models for Model Predictive Control in Buildings
| Autor: | Susan Rea, Kritchai Witheephanich, Clement Fauvel, Alan McGibney, Suzanne Lesecq |
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| Přispěvatelé: | Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), NIMBUS Centre [Cork] (NIMBUS), Cork Institute of Technology (CIT), European Project: 676760,H2020,H2020-EeB-2015,TOPAs(2015) |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
Energy management model predictive control energy management system Control (management) System identification lcsh:A Astrophysics::Cosmology and Extragalactic Astrophysics 7. Clean energy Industrial engineering Energy management system modelling Model predictive control Distributive property Software deployment [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering building lcsh:General Works Efficient energy use |
| Zdroj: | Proceedings Proceedings, 2018, 2 (15), pp.27-29. ⟨10.3390/proceedings2151137⟩ Proceedings, Vol 2, Iss 15, p 1137 (2018) Proceedings, MDPI, 2018, 2 (15), pp.27-29. ⟨10.3390/proceedings2151137⟩ |
| ISSN: | 2504-3900 |
| DOI: | 10.3390/proceedings2151137 |
| Popis: | International audience; There are strong policy drivers for the promotion of energy efficiency in buildings. In the literature, Model Predictive Control (MPC) is seen as a promising solution to deal with the energy management problem in buildings. Model identification is the primary task involved in the design of MPC control and defining the good level of complexity for the thermal dynamic model is a critical question. This paper focuses on the development of reliable models that can be used to support the deployment of (Distributive (Di)) MPC application. |
| Databáze: | OpenAIRE |
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