Model predictive control (MPC) for building optimal temperature control
| Autor: | Domenic Sauter, Chouri Brahim, Jarrou Abderrahmane, Ailane Abdellah, Karim Alami |
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| Přispěvatelé: | Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Ecole Marocaine des Sciences de l'Ingénieur (EMSI), Université Hassan 1er [Settat] |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Work (thermodynamics)
Disturbance (geology) Temperature control 050208 finance Computer science model predictive control 05 social sciences Energy consumption Single zone Astrophysics::Cosmology and Extragalactic Astrophysics feedforwards [SPI.AUTO]Engineering Sciences [physics]/Automatic Model predictive control Control theory Order (business) 0502 economics and business building thermal control 050207 economics |
| Zdroj: | 2nd International Conference on Smart Application and Data Analysis for Smart Cities, SADASC'18 2nd International Conference on Smart Application and Data Analysis for Smart Cities, SADASC'18, Feb 2018, Casablanca, Morocco. ⟨10.2139/ssrn.3186339⟩ |
| DOI: | 10.2139/ssrn.3186339⟩ |
| Popis: | International audience; The model predictive control (MPC) for optimal temperature control in building is designed in order to reduce the energy consumption while respecting occupant comfort, assuming that the comfort in this work is defined by a reference temperature. MPC is developed and applied first to a simplified case where no disturbance is considered then a measured disturbance representing predictive knowledge of weather conditions is integrated. As the application of MPC requires a dynamical model, thus the single zone building considered is modeled. |
| Databáze: | OpenAIRE |
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