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Energy breakdown in capacitive deionization.

Ali Hemmatifar1, James W Palko1, Michael Stadermann2

  • 1Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, United States.

Water Research
|August 28, 2016
PubMed
Summary
This summary is machine-generated.

Resistive and parasitic energy losses in capacitive deionization (CDI) were quantified. Resistive losses dominate at high currents, while parasitic losses prevail at low currents, impacting water desalination efficiency.

Keywords:
Capacitive deionizationEnergy consumptionPerformance optimizationPorous carbon electrodesWater desalination

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Area of Science:

  • Electrochemistry
  • Water Desalination Technologies
  • Energy Loss Mechanisms

Background:

  • Capacitive deionization (CDI) is a promising technology for water desalination.
  • Understanding energy loss mechanisms is crucial for optimizing CDI efficiency.
  • Resistive and parasitic losses are hypothesized as primary contributors to energy inefficiency in CDI.

Purpose of the Study:

  • To investigate and quantify resistive and parasitic energy loss mechanisms in CDI during water desalination.
  • To determine the influence of cycling current and cut-off voltage on these energy losses.
  • To establish the relationship between energy efficiency, salt adsorption rate, and energy loss per ion removed.

Main Methods:

  • A five-electrode pair CDI cell with a flow-between architecture was constructed.
  • Experiments involved constant current (CC) charge/discharge cycling with varying currents and cut-off voltages.
  • Series resistance was measured using AC impedance, and parasitic current was quantified versus cell voltage.

Main Results:

  • Resistive losses were found to dominate at high currents, while parasitic losses were dominant at low currents.
  • A trade-off was observed between the average salt adsorption rate (ASAR) and energy-normalized adsorbed salt (ENAS).
  • Energy efficiency is optimized by balancing resistive and parasitic losses.

Conclusions:

  • The study successfully differentiated and quantified resistive and parasitic energy losses in CDI.
  • Operational parameters significantly influence the contribution of each loss mechanism.
  • Optimizing CDI performance requires a strategic balance between salt adsorption rate and energy consumption.