Stabilise combustion without overconsuming energy

Industrial boilers rely on a precise thermal and combustion balance, where fuel quality, excess air, heat transfer and steam demand directly impact energy efficiency, safety and equipment availability.

Even minor deviations can lead to combustion losses, increased fuel consumption, accelerated fouling or unstable steam production.

Indao transforms data from burners, furnaces, heat exchangers, steam networks and utilities into reliable operational indicators and concrete recommendations.

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Why industrial boilers are different

Critical thermal systems where combustion, energy transfer and process demand must remain perfectly aligned.

Combustion sensitive to operating conditions

Fuel quality, air/fuel ratio and draft directly influence efficiency and emissions

Strong dependence on steam demand

Rapid variations in process load require continuous adaptation of operating conditions

Progressive performance degradation

Fouling of heat exchange surfaces, sensor drift or combustion imbalance gradually reduce efficiency

The challenges you face

  • Thermal efficiency: maximise energy conversion while limiting flue gas losses
  • Steam production stability: maintain pressure and flow despite load variations
  • Fuel consumption: reduce energy costs without compromising safety
  • Environmental performance: control NOx, CO and associated emissions
  • Equipment availability: anticipate fouling, corrosion and burner drifts

The limits of your current tools

  • Operations often based on conservative settings to ensure safety
  • Fixed-threshold alarms not suited to real load variations
  • Difficulty identifying gradual efficiency losses
  • Data fragmented across combustion, steam utilities and maintenance
  • Energy analyses often performed after the fact rather than in real-time

What Indao delivers in practice

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

Real-time tracking of air/fuel parameters, draft, flue gas temperatures and steam load conditions
Continuous estimation of energy losses and real combustion efficiency based on operational data
Analysis of interactions between combustion, heat transfer and steam demand to identify optimisation levers
Adjustment of operating conditions to maximise efficiency while respecting safety and emission constraints
Structured historisation of performance to support energy audits and continuous improvement
Seamless connection to existing systems (DCS, energy supervision, emissions monitoring, maintenance) without disrupting operations

What you gain

Operational results, not just more dashboards

Improved thermal efficiency

Early identification of losses
→ reduced fuel consumption

More stable steam production

Anticipation of deviations impacting pressure and flow

Enhanced environmental performance

Better emission control through more precise operation

Increased equipment availability

Early detection of fouling and combustion imbalance

More robust energy decisions

Clear understanding of interactions between combustion, process load and performance

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.

Request a demo

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

Green hydrogen

Improve operating condition stability and energy efficiency of production units

Wind energy

Analyse operational performance to improve asset availability and energy yield