Stabilise production without compromising energy efficiency
Green hydrogen production relies on sensitive electrochemical and energy balances, where electrical power, electrolysis conditions and thermal management directly impact efficiency, equipment lifetime and operational stability.
Even minor deviations can lead to reduced energy efficiency, premature degradation of electrolyzers or unstable production.
Indao transforms data from electrolyzers, purification systems, compression, storage and utilities into reliable indicators and concrete recommendations.
Why green hydrogen units are different
Energy-intensive systems where operational stability and energy performance must remain aligned.
Sensitive electrochemical processes
Variability of renewable energy
High purity and safety requirements
The challenges you face
- Energy efficiency: optimise kWh/kg H₂ despite variable electrical load
- Operational stability: manage start-ups, shutdowns and partial load without accelerating wear
- Electrolyzer durability: reduce stress impacting membranes and electrodes
- Energy system integration: adapt production to renewable fluctuations and downstream demand
- Safety & compliance: ensure gas purity and control pressure/temperature conditions
The limits of your current tools
- Fragmented visibility across electrolysis, compression, storage and utilities
- Control often based on isolated parameters rather than overall performance
- Difficulty identifying gradual energy losses
- Performance analysis often carried out after visible degradation
- Limited tools to anticipate the impact of load cycles on equipment lifetime
What Indao delivers in practice
We design advanced analytics solutions that genuinely improve green hydrogen production performance, with AI as a support : explainable, controlled and field-oriented.
What you gain
Operational results, not just more dashboards
Contextualised electrolysis monitoring
Real-time tracking of cell conditions, electrical power and production performance, considering energy regime
Efficiency & degradation soft sensors
Continuous estimation of energy efficiency and early detection of deviations affecting electrolyzer stacks
Actionable process analytics
Analysis of interactions between available energy, electrochemical conditions and hydrogen production
Dynamic energy optimisation
Identification of operating conditions that maximise production while limiting electricity consumption
Enhanced performance traceability
Structured historisation of operating cycles to support lifetime analysis and industrial audits
Industrial integrations
Seamless connection to existing systems (energy SCADA, EMS, process supervision) without disrupting operations
See clearly. Act decisively. Optimise sustainably.
Decisions that have already proven their impact
- Process Performance Optimization
2Valorise
Optimising the steam network to maximise cogeneration plant performance
- Process Performance Optimization
CRM Group
Identifying key parameters in hot rolling to better control process performance
- Data-driven Decision-Making
EKO-MYŚL
Centralising waste and energy data to improve operational control
Want to make decisions differently?
Let’s explore how your data can become a concrete operational lever.
Whatever your activity in the energy sector
Concrete levers at the core of processes
Cogeneration
Optimise thermal and electrical control to maximise overall efficiency and energy valorisation
HVAC
Dynamically adjust heating and cooling production based on real needs to reduce consumption and deviations
Wind energy
Analyse operational performance to improve asset availability and energy yield
Boilers
Optimise combustion and thermal efficiency to reduce energy losses and improve operational stability