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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Actes de congrès/Proceedings
Este ítem está publicado en
18th IBPSA Conference on Building Simulation, 2023-09-04, Shangaï. 2023-09-04
IBPSA
Resumen en inglés
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 ...Leer más >
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.< Leer menos
Proyecto ANR
Interactions “fluide-particules” en milieu stratifié - ANR-13-PDOC-0023
Centros de investigación