Membrane autopsy and failure analysis for
ion-exchange membrane systems
Our Vision
When an electromembrane system loses performance, the cause is not always obvious.
A voltage increase, loss of current efficiency, product contamination or membrane damage can come from the membrane itself, the stack design, the operating conditions or the feed composition.
GREENNOVATION helps you investigate membrane and stack-related performance problems to identify likely root causes and define practical corrective actions.
This service is useful when:
- Your voltage increases unexpectedly during operation
- Current efficiency decreases over time
- Product quality or purity is lower than expected
- Membranes show deformation, cracking or delamination
- You observe leakage, crossover or contamination
- Pilot performance is different from lab performance
- You need an independent technical diagnosis before redesigning the process
GREENNOVATION can investigate issues related to:
Fouling
Scaling
Chemical degradation
Mechanical damage
Membrane
ageing
Loss of selectivity
Resistance increase
Operating-condition effects
Stack or sealing-related issues
The goal is to separate symptoms from possible causes,
so your team can make informed decisions.
Our approach
A membrane autopsy or failure analysis can include:
Review of operating history
Visual inspection
Comparison with reference membranes
Electrical or physicochemical characterization
Analysis of performance data
Identification of possible failure mechanisms
Corrective recommendations
The exact scope depends on the system,
available samples and level of information provided.
Deliverables can include:
- Failure analysis report
- Membrane autopsy observations
- Root-cause hypotheses
- Comparison with reference samples
- Recommendations for additional tests
- Corrective or preventive action plan
Without a structured diagnosis, teams may change the wrong parameter, reject the wrong membrane or redesign the wrong part of the system.
Failure analysis helps reduce trial-and-error troubleshooting and supports more reliable process improvement.