Details

Autor(en) / Beteiligte

• Marchini, Sara
• Vishwakarma, Vineet
• Schubert, Markus
• Brunazzi, Elisabetta
• Hampel, Uwe

Titel

Effects of non-uniform weeping distributions on tray and point efficiencies

Ist Teil von

• Results in engineering, 2023-09, Vol.19, p.101238, Article 101238

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Weeping is known to significantly reduce tray and point efficiencies in distillation tray columns. When designing distillation columns, conservative rules of thumb are applied to account for the effect of weeping on separation efficiency, while assuming uniform weeping distribution. However, experimental studies and CFD simulations generally reveal non-uniform weeping. The current study addresses this discrepancy, providing an experimental approach for simultaneously determining tray and point efficiencies at weeping conditions. The proposed approach is able to account for a non-uniform weeping distribution. This work evaluates the effect of several non-homogeneous weeping distribution patterns on tray and point efficiencies. In particular, state-of-the-art non-uniform weeping distributions, which have low spatial resolution, have been compared with arbitrarily assumed high resolution weeping distributions. A comparison with uniform weeping distribution is also provided. The results illustrate that assuming uniform weeping distribution leads to significant under- or overestimation of the tray and point efficiencies, depending on the real weeping distribution. In addition, high resolution weeping data can massively improve the quantification of separation efficiencies, allowing to confidently operate distillation columns at weeping conditions. •Neglecting weeping causes an overestimation of tray efficiency up to 50%.•Estimation of point efficiency is less affected by neglecting weeping.•Assuming uniform weeping on the tray leads to inaccuracies in efficiency assessment.•Knowledge on weeping rate and distribution is crucial for efficiency assessment.