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Indoor Air Quality Optimization by Thermal Displacement Air-Conditioning Methods
Background/Objectives: We have intended to investigate air velocity, CO2 concentration and temperature distribution by computational fluid dynamics software for comfort issues. Methods/Statistical Analysis: For designing purpose, the experimental data on temperature, humidity and CO2 concentration were collected for an internet room. The same geometry of the room is simulated with same existing method of mixing ventilation. The profile of the experiment and the simulation are found as same for CO2 concentration and Temperature. Findings: Air supply is a critical factor to evaluate the heat distribution, air velocity and solid contaminants inside the room. The air supply diffuser location, contaminant source location and air supply method are tested numerically by comparing mixing ventilation and displacement ventilation methods. ANSYS CFX is used to obtain the temperature, velocity, and CO2 concentration. In this work the displacement ventilation method shows better distribution of air and the ventilation efficiency with less consumption of electrical energy for cooling load compared with the existing mixing ventilation method. Applications/Improvements: In the present system the temperature of inlet air is 15oC but if the system is modified to displacement ventilation efficiency the temperature of inlet air is 18oC and this itself provide better comfort condition. Hence the saving of electrical energy is also possible.
Computational Fluid Dynamics, Displacement Air-Conditioning, Humidity, Indoor Air Quality, Temperature.
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