Efficient extraction of hydrogen fluoride using hollow fiber membrane contactors with the aid of active‐learning

Abstract

AbstractThis study presents a sustainable approach to extracting hydrogen fluoride (HF) from wastewater using hollow fiber membrane contactors. HF, a widely used yet hazardous chemical, requires efficient separation techniques due to its environmental and health concerns. Our research compared two operational modes, vacuum mode and liquid–liquid extraction mode, revealing the latter as more efficient for HF separation. Notably, this study introduces a novel aspect by employing a data‐driven decision‐making method, Bayesian optimization (BO) for process optimization of the liquid–liquid extraction mode, aiming to maximize HF removal efficiency at low experimental costs. Subsequent validation through a 96‐h experimental run confirms the suitability of the optimized conditions for industrial applications. This study not only demonstrates an efficient HF separation process using hollow fiber membrane contactors but also establishes a new standard for complex industrial process optimization.