Abstract
Desiccant cooling and dehumidification systems control both the air humidity as well as the operating cost by reducing the energy requirements of the supply air systems. This study used flow simulation CFD high resolution to better understand the vapor flow through complex porous media. The CFD simulation of the adsorption cooling system showed that the design could have beneficial effects on the performance of the system. The emphasis is on optimizing the process to remove the moisture, and the optimal process inflow velocity for the particular desiccant wheel model is determined to be between 1.5 and 2.5 m/s.
Highlights
The desiccant dehumidifier wheel is the crucial alternative for conventional components used in the HVAC system
The desiccant wheel with low processes provides a greater removal of moisture at low speeds
Desiccant wheel model simulations are performed for a wide range of situations
Summary
The desiccant dehumidifier wheel is the crucial alternative for conventional components used in the HVAC system. During the suction process around the air with a relative humidity of about 100 percent cannot absorb the human body's latent heat Under these settings, sustained durations might lead to people feeling thermally uncomfortable due to increased body temperature. Water vapor adsorbed on the desiccant wheel is driven out by hot air, which is called regeneration or reactivation or desorption This desorbing process involves heat transfer, which results in greater moisture and lower temperature of regeneration air from the wheel. These models diminish the effectiveness of simpler SDD models This trial is intended, to explore the impacts on the performance of the solid desiccant material using numerical modeling of air regeneration temperature and drying materials. Flow simulations have been performed under transient conditions to anticipate process air at channel exit average temperature and humidity [8]
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