Optimization of Regenerative Atmospheric Water Generator using CFD Simulation

The increasing scarcity of potable water necessitates innovative solutions to harness atmospheric moisture. This study focuses on the optimization of a regenerative atmospheric water generator (AWG) using computational fluid dynamics (CFD) simulations. The AWG operates on the principle of condensation, where humid air is cooled below its dew point to extract water. By employing CFD simulations, we analyze the airflow dynamics, heat transfer, and condensation processes within the AWG system. The study explores various design parameters, including the geometry of the cooling coils, the placement of thermoelectric coolers, and the efficiency of heat sinks. The simulation results indicate that optimizing these parameters can significantly enhance the water extraction rate and energy efficiency of the AWG. The findings provide valuable insights for the development of cost- effective and sustainable water generation technologies, particularly in arid and semi- arid regions.