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Origin of Limiting and Overlimiting Currents in Bipolar Membranes
Ragne Pärnamäe1,2, Michele Tedesco1, Min-Chen Wu3
1Wetsus, European Centre of Excellence for Sustainable Water Technology, Leeuwarden, The Netherlands.
This study investigates ion transport in bipolar membranes (BPMs), revealing key insights into their behavior for environmental applications. The developed model accurately predicts ion concentrations and current-voltage curves, aiding in optimizing BPM performance.
Area of Science:
- Electrochemistry
- Materials Science
- Environmental Engineering
Background:
- Bipolar membranes (BPMs) facilitate electrochemical water dissociation/recombination, crucial for environmental tech.
- Understanding ion transport in BPMs is vital for optimizing applications like pH control and resource recovery.
- Current knowledge of ion transport dynamics, especially at the BPM junction, remains limited.
Purpose of the Study:
- To theoretically and experimentally investigate ion transport in BPMs under various bias conditions.
- To model the behavior of H+, OH-, and salt ions within BPMs.
- To correlate ion transport phenomena with observed current-voltage characteristics.
Main Methods:
- Utilized the Nernst-Planck theory for modeling ion transport.
- Developed a model requiring only membrane thickness, charge density, and pK of proton adsorption.
- Experimentally validated the model using a commercial BPM and measured current-voltage curves.
Main Results:
- Successfully predicted ion concentration profiles (H+, OH-, Na+, Cl-) within the BPM.
- The model accurately reproduced experimental current-voltage curves, including limiting and overlimiting currents.
- Identified specific concentration profiles responsible for limiting and overlimiting currents.
Conclusions:
- The Nernst-Planck based model provides significant insights into BPM physical phenomena.
- The model's predictive capability aids in understanding and optimizing BPMs for environmental applications.
- This research facilitates the identification of optimal operating conditions for BPMs in resource recovery and carbon capture.
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