A recent engineering collaboration in Germany highlights how tighter control of core process variables—particularly electrolyte concentration—can influence both performance and durability in alkaline electrolysis systems, with inline measurement technology from Vaisala supporting real-time monitoring within the test setup.
Alkaline electrolysis relies on concentrated potassium hydroxide (KOH) solutions to enable hydrogen production. These systems operate under a combination of elevated temperatures, corrosive chemistry, and pressure—conditions that can impact both component lifespan and measurement accuracy.
To better understand and manage these dynamics, a consortium including iChemAnalytics GmbH, Dr.-Ing. Max Schlötter GmbH & Co. KG, and WHW Hillebrand developed an automated test platform for electrolyzer stacks. The system was designed to replicate real-world operating environments while allowing continuous evaluation of materials and performance.
One recurring issue was the fluctuation of KOH concentration across the membrane during operation. These shifts directly affect voltage stability, reaction efficiency, and long-term system reliability. Without timely data, operators are limited in their ability to maintain optimal conditions.
Conventional lab-based measurement methods introduced delays that reduced their usefulness for real-time control. This made continuous, in-line monitoring a necessary component of any meaningful optimization strategy.
To address this, the team implemented inline refractometry technology to track electrolyte concentration in real time. By measuring how light behaves as it passes through the solution, the system can continuously determine concentration levels without interrupting operations.
This approach is suited to industrial environments where sensor reliability is critical. The technology is designed to handle corrosive media and maintain accuracy despite the presence of bubbles or particulates, reducing the need for frequent maintenance.
More significantly, continuous measurement changes how systems are managed. Instead of responding to performance drift after it occurs, operators can identify and correct deviations as they develop. This enables tighter process control and helps limit inefficiencies linked to fluctuating operating conditions.
The project also reflects a broader shift in industrial decarbonization: data quality and immediacy are becoming central to performance optimization. As hydrogen systems scale, the ability to monitor and adjust key variables in real time is likely to influence both cost and reliability outcomes.
Early testing indicates improvements in the durability of new electrode coatings, suggesting that controlled environments can accelerate material validation. While incremental, these gains are relevant in a sector where long-term system stability remains a barrier to wider adoption.
The findings point to a larger trend. Advancing green hydrogen may depend not only on expanding infrastructure, but also on improving how systems are monitored, controlled, and optimized at a granular level.
