Accurate models for building thermal behavior play a vital role in advanced control strategies of heating and cooling systems. In this paper, a gray box (RC) model is developed to predict the indoor air temperature of a room under the extreme warm climate of Dubai (United Arab Emirates). The proposed model includes the influence of cladding on the building and contains six thermal resistances and two capacities (6R2C). Then, the model parameters are identified with measurement data. The study reveals that the RC model, with consideration of the influence of cladding, leads to the best results.< Réduire

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https://oskar-bordeaux.fr/handle/20.500.12278/201425

DOI

http://dx.doi.org/10.26868/25222708.2023.1375

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Interactions “fluide-particules” en milieu stratifié - ANR-13-PDOC-0023

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Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295

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Development and Experimental Validation of a RC Model to Predict Indoor Air Temperature of a Room Assigned for Extreme Warm Climate: Case Study of Baitykool Prototype in Dubai

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