Abstract—Energy is necessary for human life. However, various public organizations concern about the limited energy. Therefore, the improving of energy efficiency for building could help the reduction of the energy consumption and costs. The purpose of this study is to investigate the effects of different insulation material, namely brick, polystyrene, stone wool and phenolic foam that applied to sampled room by computational simulation. Three-dimensional model of sample room is presented. The time-dependent fluid dynamic equations coupled with the time-dependent heat transfer equation with diffusion and convection is implemented to predict air flow and heat transfer inside the sample room. The governing equations are solved by using the finite element method (FEM). Computational results of numerical study are compared to results with experimental study. The results indicated that the types of insulation material have the significant effects on the air flow and heat transfer. Furthermore, the stone wool is the best insulation that reduces heat transfer into the room. The obtained results provide useful information on the building designs under a variety of conditions and reduce energy consumption in building.
Index Terms—Air flow, computer simulation, heat transfer, insulation materials.
The antuhors are with the Universiti Malaysia Sarawak, Faculty of Engineering, and Malaysia (e-mail: bentebelian@gmail.com, starmizi@unimas.my, ammagdal@unimas.my, amaizuddin@unimas.my, nmnhisyam@unimas.my).
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Cite: S. Khamput, P. Rattanadecho, and P. Keangin, "Model Predictive Controller for Air Flow and Heat Transfer in Sample Room," International Journal of Modeling and Optimization vol. 8, no. 3, pp. 172-177, 2018.
