Analysis of thermal effects in packed bed liquid desiccant dehumidifiers
Abstract An analysis of the performance of a packed bed liquid desiccant dehumidifier is presented. The enthalpy and material balance equations written over a differential height of the bed incorporate the effect of the heat of dilution of the desiccant liquid, the liquid—air interface temperature and the fraction of the evolved heat that is accounted for in the air stream. Numerical results obtained are discussed in terms of the physical and operating parameters of the system.
Experimental study and performance analysis on a new dehumidifier with outside evaporative cooling
Abstract In this paper, experimental study of a new dehumidifier is carried out and the effects of inlet parameters of air, water and solution on the performance of the dehumidifier are discussed. The experimental results indicate that when the solution is 36 °C, the performance of the dehumidifier with outside evaporative cooling increased by 25% compared to the dehumidifier without outside evaporative cooling. The moisture removal rate is increased by a factor of 2.3 when the dehumidified air flow rate increases from 0.071 to 0.370 kg/s. Based on the experimental values, the fitting equations of enthalpy and moisture effectiveness are separately developed. The average absolute difference (AAD) of the theoretical and experimental values is less than 8% for both moisture and enthalpy effectiveness.
Creating the Virtual Universe
Simulation software is important to our understanding of the universe. The intrinsic multiphysics aspects are spiced with a range of temporal scales and spatial scales, both of which cover more digits than are available in the standard hardware. This, together with the intrinsic chaotic nature of many physical processes, poses quite a challenge. To meet this challenge, researchers developed the Astronomical Multipurpose Environment (AMUSE). Instead of writing a suite of multiphysics solvers from scratch, AMUSE's developers coupled existing solvers for each physical ingredient. The result is a highly inhomogeneous collection of dedicated solvers with a homogeneous protocol that scales to supercomputers.