Maximise overall efficiency without adding operational complexity

Cogeneration units rely on a constant balance between electricity production, heat recovery and variable operating conditions. Engine or turbine load, fuel quality, heat recovery and site demand directly impact energy efficiency and operational stability.

Even small deviations can lead to reduced heat valorisation, higher fuel consumption or unstable production.

Indao transforms data from engines, turbines, heat exchangers, steam/hot water networks and utilities into reliable operational indicators and concrete recommendations.

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Why cogeneration units are different

Coupled energy systems where thermal and electrical performance must remain continuously aligned.

Multi-energy interdependent production

Any variation on the thermal side immediately impacts electrical output, and vice versa

Strong dependence on site operating conditions

Heat or steam demand constantly evolves depending on industrial activity and seasonality

Efficiency sensitive to gradual drifts

Heat exchanger fouling, combustion settings or recovery losses quickly degrade performance

The challenges you face

  • Overall energy efficiency: maximise both electrical production and thermal recovery
  • Operational stability: maintain performance despite load or fuel variability
  • Thermal valorisation: adapt heat production to actual site demand
  • Asset availability: anticipate drifts in engines, turbines or exchangers
  • Environmental performance: control emissions and fuel consumption

The limits of your current tools

  • Operations often managed separately between electrical production and thermal networks
  • Fixed-threshold alarms poorly suited to multi-energy dynamics
  • Difficulty identifying gradual efficiency losses
  • Performance analyses often carried out after visible degradation
  • Limited tools to correlate site conditions with actual energy efficiency

What Indao delivers in practice

We design advanced analytics solutions that genuinely improve cogeneration performance, with AI as a support: explainable, controlled and field-oriented.

Real-time tracking of electrical and thermal performance, considering actual site energy demand
Continuous estimation of real efficiency and thermal recovery losses based on operational data
Analysis of interactions between engine/turbine load, heat recovery and fuel consumption
Identification of adjustments to align energy production with real demand
Structured historisation of operating conditions for long-term analysis and energy audits
Seamless connection to existing systems (energy SCADA, production supervision, utilities monitoring) without disrupting operations

What you gain

Operational results, not just more dashboards

Improved overall efficiency

Early identification of losses
→ better thermal and electrical valorisation

Reduced fuel consumption

Optimised operating conditions to produce more with less

Increased asset availability

Anticipation of drifts affecting engines, turbines or exchangers

Enhanced environmental performance

Reduced emissions through more precise control

More robust energy decisions

Clear understanding of interactions between site demand and energy production

Controlled integration

Progressive, secure deployment aligned with existing practices

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
  • Energy

CoCEPTIO

Structuring and leveraging HVAC data to improve energy efficiency
  • 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.

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