Solar Effect on Supply Air Ventilated Window CFD Simulation, ANSYS Fluent Training
Solar Effect on Supply Air Ventilated Window CFD Simulation, ANSYS Fluent Training
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€220.00 Original price was: €220.00.€115.00Current price is: €115.00.
In colder climates, ventilated windows may improve interior air quality and energy efficiency. When there is incident solar radiation and an inward air flow direction, a standard ventilated window acts as a solar collector. A variation on multiple-pane windows, the ventilated window allows air to be pulled in from the outside and heated within the cavity by conduction, convection, and radiation. This system can be called a passive ventilation method. Based on the reference paper “ A CFD-Based Parametric Thermal Performance Analysis of Supply Air Ventilated Windows”, the present CFD study is executed.
Figure 1: Schematic of a supply air ventilated window
Simulation Process
Ansys Design Modeler and Ansys Meshing were used as a pre-processor to create the geometry, mesh, and computational domain. Figure 2 illustrates the computational domain. Activation of Discrete Ordinate (DO) radiation model along with suitable density model (Boussinesq) is crucial considering buoyancy-driven flow. In our scenario, a freezing cold winter is assumed. It is targeted to adopt a passive heating system.
Figure 2: Schematic of supply air ventilated window geometry
Post-processing
The pressure gradient made by gap section in supply air-ventilated window suck air from outdoor to the indoor environment. Despite cold weather in the winter ( -7.1 °C), the heat absorbed by windows membranes and its transfer to the incoming air flow warm it up to 4.55°C. The energy received from solar irradiation harnessed effectively that could increase temperature up to 12 degree without any active method. This is a brilliant design that can be developed.
We pride ourselves on presenting unique products at CFDLAND. We stand out for our scientific rigor and validity. Our products are not based on guesswork or theoretical assumptions like many others. Instead, most of our products are validated using experimental or numerical data from valued scientific journals. Even if direct validation isn’t possible, we build our models and assumptions on the latest research, typically using reference articles to approximate reality.
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