To date, developing robust design principles for distillation and absorption processes using random and structured packing has necessitated expensive and time-consuming experimental investigations. These studies are essential for predicting basic performance data (BPD), such as flooding gas velocity and pressure drop within the operating range. The upper limit, the flooding line, has traditionally been estimated primarily through experiments on air-water simulator plants. This established procedure, while effective, is very costly and requires significant time and effort, presenting a major challenge for manufacturers and researchers seeking to reduce this reliance on physical testing.
In this work, a novel method is presented to address this challenge. The proposed approach is based on a physical model of a suspended bed of droplets (SBD) combined with CFD simulation. This methodology allows for the generation of a packing's complete operating range, including the flooding line, without any need for experimental data.
To validate this new concept, an experimental hydraulic investigation using a laboratory distillation plant under low and normal pressure with various test systems were conducted. The results were then compared with data from CFD simulations for the commercial structured packing R500Y from RVT. A satisfactory agreement was observed between the experimental and simulated data, with a deviation of less than ±10%. This successful validation demonstrates that this approach offers a simple, fast, and reliable method to significantly reduce the experimental effort required for modeling, optimizing, and predicting the performance of structured packing.
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