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Residence time distribution studies using radiotracers in a lab-scale distillation column: Experiments and modeling
K El Korchi1, R Alami2, A Saadaoui2
1Laboratory of Biotechnology Environment and Quality, Department of Chemistry (LBEQ), Faculty of Science, University Ibn Tofail, BP 133, 14000, Kenitra, Morocco.
This study used Technetium-99m (Tc-99m) radiotracer experiments to analyze the residence time distribution (RTD) in a packed distillation column. The findings help optimize industrial reactor performance and diagnostics.
Area of Science:
- Chemical Engineering
- Nuclear Engineering
- Process Systems Engineering
Background:
- Radiotracer residence time distribution (RTD) analysis is crucial for assessing industrial process reactor performance.
- Packed distillation columns are key components in chemical processing, requiring accurate performance diagnostics.
Purpose of the Study:
- To determine the RTD in a laboratory-scale packed distillation column using a radiotracer.
- To evaluate and select the most appropriate mathematical model for RTD analysis in this specific reactor type.
Main Methods:
- Utilized Technetium-99m (Tc-99m) as the radiotracer for experimental monitoring.
- Employed eight scintillation detectors for real-time concentration measurements.
- Applied data preprocessing techniques including background and radioactive decay correction.
- Investigated two mathematical models using International Atomic Energy Agency (IAEA) RTD software for parameter optimization.
Main Results:
- Successfully obtained and processed experimental data to characterize the radiotracer's RTD.
- Identified and selected the mathematical model that best represented the experimental data.
- Calculated the RTD parameters, providing insights into the column's hydrodynamics.
Conclusions:
- The study successfully determined the RTD of a packed distillation column using Tc-99m.
- The selection of an appropriate mathematical model is critical for accurate RTD analysis.
- This methodology provides a valuable tool for diagnosing and optimizing packed distillation column performance.
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