Stabilise cooking without compromising energy performance

Kraft pulp production relies on demanding thermo-chemical balances, where impregnation, alkaline cooking, washing and chemical recovery directly impact fibre yield, pulp quality and overall energy efficiency.

Even minor deviations can lead to overcooking, fibre strength loss, washing instability or overload of the chemical recovery system.

Indao transforms data from digesters, washing lines, evaporation units, recovery boilers and utilities into reliable operational indicators and concrete recommendations.

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Why the Kraft process is different

A highly integrated process where fibre performance, chemistry and energy are inseparable.

Long and sensitive chemical reactions

Temperature, active alkali, residence time and impregnation directly influence delignification degree and fibre quality

Strong energy integration

Chemical and thermal recovery systems drive a large part of the plant’s energy balance

Raw material variability

Wood species, moisture content and chip size affect reaction kinetics and process stability

The challenges you face

  • Cooking control: stabilise Kappa number despite raw material variability and production constraints
  • Fibre yield: limit cellulose degradation and optimise lignin removal
  • Energy performance: optimise steam usage, evaporation and chemical recovery
  • Equipment availability: anticipate fouling, clogging and drifts in exchangers or digesters
  • Environmental performance: control effluent loads, emissions and chemical losses

The limits of your current tools

  • Operations often based on point measurements rather than full process dynamics
  • Difficulty correlating chip variability with actual cooking performance
  • Data fragmented across cooking, washing, recovery and energy systems
  • Laboratory analyses often delayed
  • Limited tools to anticipate thermal drifts or fibre yield losses

What Indao delivers in practice

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

Real-time tracking of temperature profiles, alkalinity and residence time, considering raw material characteristics
Continuous estimation of indicators such as Kappa number, fibre yield or washing efficiency based on process data
Analysis of interactions between cooking, washing and chemical recovery to identify root causes of deviations
Identification of steam losses and heat recovery inefficiencies to improve overall energy balance
Structured historisation of operating conditions to support environmental audits and long-term optimisation
Seamless connection to existing systems (DCS, energy supervision, laboratory, maintenance) without disrupting operations

What you gain

Operational results, not just more dashboards

More stable cooking process

Early detection of deviations
→ better control of Kappa and fibre quality

Improved material yield

Optimised reaction conditions reducing cellulose losses

Optimised energy performance

Finer control of steam and thermal recovery
→ reduced consumption

Increased equipment availability

Anticipation of fouling and digestion instabilities

More robust operational decisions

Clear understanding of interactions between wood, chemistry and energy

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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Whatever your activity in the pulp & paper sector

Concrete levers at the core of processes

Paper machines

Improve line stability and maximise machine efficiency by reducing process variability

Packaging

Stabilise production and control quality variability to improve overall industrial performance

Recycled pulp

Correlate raw material variability with process parameters to improve consistency and operational performance

Tissue

Optimise the balance between machine speed, product quality and energy efficiency