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Self similarities in desalination dynamics and performance using capacitive deionization.

Ashwin Ramachandran1, Ali Hemmatifar2, Steven A Hawks3

  • 1Department of Aeronautics & Astronautics, Stanford University, Stanford, CA, 94305, United States.

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|May 8, 2018
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Summary
This summary is machine-generated.

Researchers developed models to understand capacitive deionization (CDI) dynamics, revealing self-similar patterns in flow rate, current, and voltage. This helps optimize desalination efficiency by balancing ion adsorption and water recovery.

Keywords:
Capacitive deionizationPerformance optimizationPorous carbon electrodesReduced order modelSelf-similarityWater desalination

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Area of Science:

  • Electrochemistry
  • Chemical Engineering
  • Water Treatment

Background:

  • Capacitive deionization (CDI) is a promising desalination technology.
  • CDI performance relies on coupled charge transfer and mass transport.
  • Understanding these coupled dynamics is crucial for optimizing CDI systems.

Purpose of the Study:

  • To develop reduced-order models for coupled charge and mass transport in CDI.
  • To identify and explore self-similar dynamics in CDI operation.
  • To validate model predictions through experimental investigation.

Main Methods:

  • Developed mixed reactor volume-based reduced-order models.
  • Derived closed-form semi-analytical and analytical solutions.
  • Performed experiments using a flow-between CDI cell architecture.
  • Varied operational parameters (flow rate, current, voltage) to demonstrate self-similarity.

Main Results:

  • Identified self-similar dynamics in CDI operation across charging and discharging cycles.
  • Demonstrated that specific parameter combinations determine effluent response.
  • Showed electric double-layer (EDL) efficiency depends on voltage thresholds, and flow efficiency depends on flow parameters.
  • Found optimal performance when EDL and flow efficiencies are equal.

Conclusions:

  • The developed models and similarity approach provide insights into CDI dynamics.
  • Self-similarity simplifies the analysis and optimization of CDI systems.
  • The findings offer guidance for designing and operating efficient CDI processes for water desalination.