Taming Chlorine for Green Hydrogen
Imagine a future where the vast oceans, covering most of our planet, become the primary source of clean fuel. This isn't science fiction—scientists worldwide are working to unlock the hydrogen potential within seawater through a process called electrolysis. When electricity passes through saltwater, it splits the water molecules into hydrogen and oxygen, producing valuable green hydrogen that can power our industries, homes, and transportation without carbon emissions. But there's a catch: seawater contains chloride ions that create a troublesome byproduct—chlorine. This article explores the cutting-edge science of monitoring these chlorine species in real-time, a technological advancement that might finally make large-scale seawater electrolysis a practical reality.
Seawater contains approximately 55% chloride ions by mass 6 , which during electrolysis can form chlorine gas and other compounds that reduce efficiency and damage equipment.
Recent breakthroughs in continuous monitoring technologies provide scientists with unprecedented ability to track unwanted chlorine species as they form, opening new pathways to control them effectively.
In an ideal seawater electrolysis system, we want two simple reactions to occur: hydrogen gas bubbling up at the negative cathode and oxygen gas forming at the positive anode. The reality, however, is far more complicated. The abundant chloride ions in seawater are drawn to the anode, where they can be transformed into chlorine gas through the chlorine evolution reaction (ClER) 1 .
The competition between the desired and unwanted reactions comes down to subtle energy differences. The oxygen evolution reaction (OER) we want requires 1.23 volts, while the competing chlorine evolution reaction (ClER) needs 1.36 volts 1 . This narrow voltage window means that under real operating conditions, both reactions often occur simultaneously. The result? Reduced efficiency for hydrogen production, catalyst corrosion that shortens equipment lifespan, and the formation of potentially hazardous chlorine gas 1 6 .
You can't control what you can't measure—this principle lies at the heart of the chlorine challenge in seawater electrolysis. Traditional water testing methods involve collecting samples and analyzing them in a lab, a process that's far too slow to respond to the rapidly changing conditions inside an operating electrolyzer.
Without continuous monitoring, operators face two unacceptable choices: either run the system at low efficiency to minimize chlorine formation (producing less hydrogen) or risk equipment damage and chlorine gas production. Real-time sensors provide a way out of this dilemma by offering immediate feedback on chlorine levels, enabling precise control systems that can adjust voltage, pH, or other parameters to maintain optimal conditions 2 5 .
In 2019, a team of researchers tackled the chlorine measurement challenge with an innovative approach that combined electrode arrays with machine learning 4 . Their goal was to detect "total chlorine"—the sum of all chlorine species—in water, a measurement particularly relevant to electrolysis systems where multiple chlorine compounds may be present.
The heart of their system was a custom-designed electrode array featuring five different sensors. The centerpiece was a three-electrode electrochemical cell, with a platinum working electrode, a platinum ring counter electrode, and an Ag/AgCl reference electrode 4 . This arrangement allowed them to perform cyclic voltammetry, a technique that applies a changing voltage to the solution and measures the resulting current. Two additional sensors tracked pH and temperature, critical parameters that influence chlorine chemistry.
Electrode arrays used in electrochemical analysis
Cyclic voltammetry scans produce current patterns
Principal component analysis reduces dimensionality
Support vector regression learns patterns
Model accurately predicts chlorine concentrations
The machine learning approach proved remarkably effective. The support vector regression model achieved a coefficient of determination (R²) of 0.9689 4 , indicating it could accurately predict total chlorine concentrations based on the electrode responses. This was particularly impressive given the complex interplay of different chlorine species in the solution.
| Modeling Method | Feature Extraction | R² Value | Prediction Accuracy |
|---|---|---|---|
| Support Vector Regression | Principal Component Analysis | 0.9689 | Very High |
| Kernel Extreme Learning Machine | Principal Component Analysis | Lower than SVR | Moderate |
| Support Vector Regression | Peak Sampling | Not Reported | Moderate |
| Kernel Extreme Learning Machine | Peak Sampling | Not Reported | Moderate |
This research demonstrated that soft-sensing techniques—using easily measurable parameters to predict hard-to-measure ones—could successfully tackle the complex problem of chlorine monitoring 4 . The methodology likely can be adapted to monitor disinfection and water treatment processes as well, making it broadly applicable beyond electrolysis systems.
Researchers working on seawater electrolysis have several powerful tools at their disposal for tracking chlorine species. These technologies range from established methods to cutting-edge innovations, each with distinct advantages and limitations.
| Technology | Working Principle | Advantages | Limitations |
|---|---|---|---|
| Colorimetric (DPD Method) | Chemicals react with chlorine to produce colored compounds measured by spectrophotometry 4 | High accuracy, widely accepted | Requires chemical reagents, periodic maintenance, not ideal for continuous monitoring |
| Traditional Amperometric Sensors | Electrochemical reduction of chlorine species generates current proportional to concentration 5 | Reagent-free operation | Requires constant flow, frequent calibration, sensitive to pH and temperature changes |
| Flow-Independent Amperometric Sensors | Advanced membrane design with integrated pumping system 5 | Unaffected by flow changes, self-cleaning, multi-parameter measurement | Newer technology with limited track record |
| Electrode Arrays with Machine Learning | Pattern recognition in cyclic voltammetry data using AI algorithms 4 | Can distinguish between chlorine species, adapts to changing conditions | Complex setup, requires significant data for training |
The ability to continuously monitor chlorine species during seawater electrolysis has implications far beyond the laboratory. As governments worldwide implement policies supporting green hydrogen production 1 , technologies that make seawater electrolysis more efficient and reliable become increasingly valuable.
For coastal nations with limited freshwater resources but abundant seawater and renewable energy potential, seawater electrolysis represents a path to energy independence. Japan's 2024 Hydrogen Strategy Revision and India's National Green Hydrogen Mission (2025) already recognize seawater electrolysis as a viable pathway, particularly for coastal and water-scarce locations 1 . Effective chlorine management through advanced monitoring makes this pathway more practical and economically viable.
The same monitoring technologies also help address environmental concerns. By precisely controlling operating conditions to minimize chlorine formation, or by capturing and utilizing hypochlorite for water disinfection 6 , electrolysis facilities can reduce their environmental impact. This aligns with the broader goals of a circular economy, where waste streams from one process become valuable inputs for another.
Continuous monitoring supports the integration of electrolysis with intermittent renewable energy sources like solar and wind 3 .
Particularly valuable for arid coastal regions with limited freshwater but abundant solar resources.
Enables large-scale hydrogen production facilities using seawater as feedstock.
Reduces pressure on freshwater resources needed for conventional electrolysis.
The journey to harness our oceans for clean fuel production hinges on understanding and controlling the complex chemistry of seawater electrolysis. Continuous in-situ monitoring of aqueous chlorine species represents more than just a technical improvement—it's a fundamental enabler that provides researchers with a window into processes that were previously largely invisible.
As monitoring technologies continue to advance, becoming more sophisticated, affordable, and robust, we move closer to a future where vast offshore wind and solar farms feed electricity to seawater electrolyzers, producing green hydrogen without taxing precious freshwater resources. The invisible battle against chlorine, once a major barrier, is now becoming a manageable challenge thanks to the innovative work of scientists worldwide.
The next time you look at the ocean, remember that within its waves lies not just the beauty of nature, but potentially a clean energy future—a future we're learning to unlock by watching the chemistry more closely than ever before.
Seawater covers ~71% of Earth's surface, offering an essentially unlimited resource for green hydrogen production.