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Recovery Boiler Optimisation
Pulp & Paper Company, Southern Hemisphere

Chemical Recovery

Recovery Boiler Optimization

Recovery Boiler Optimisation
Pulp & Paper Company, Southern Hemisphere
Recovery Boiler Optimisation

Recovery Boiler Optimization

Recovery Boiler Optimisation
Executive Summary

3 Months to €615k per Year with Zero Capital

In just five months we stabilised liquor chemistry, automated soot-blowing, and tightened excess-air control on a single 2,000 t/d recovery boiler. The upgrade now delivers ≈ € 615 000 in verified annual savings—combining ≈ € 395 000 in steam and ≈ € 220 000 in chemical costs—achieving an internal pay-back of 3 months. Better yet, all this was achieved without investing a dime in new equipment.

Client Background

600 kTon per Year Kraft Pulp Manufacturer

Operating for decades on a coastal Southern-Hemisphere site, this large-scale kraftcomplex converts sustainably managed plantation fibre into ≈ 600 000 t ofbleached pulp per year, supplying packaging markets worldwide.

Problem

Unstable Chemistry & Inefficient Stream Use

When the client contacted us they were facing a number of challenges

  • Energy-price shock – Continental natural-gas prices tripled between 2021-23, amplifying steam’s opportunity cost.
  • Chemical-cost pressure – White-liquor makeup chemicals rose > 25 % amid a tight global caustic-soda market.
  • Strict NOₓ permits – Site must hold annual NOₓ < 200 mg/Nm³ while lifting throughput to meet order growth.

They also had frequent swings in black-liquor solids and sulfidity forced conservative excess-air settings and over-dosing of reduction chemicals. Fixed-interval soot-blowing squandered steam, while slagging drove 6-hour water-wash shuts every seven weeks.

There key pain points were

  • 6-hour water-wash shuts every seven weeks.
  • ≈ 4 % steam lost to over-blowing.
  • Reduction ratio drifting ± 3 %, inflating chemical makeup.
Solution

A Data Driven Solution

Considering the many challenges the mill was facing, we knew that we needed a focused approach. Our solution was therefore centered around four main areas; steam use reduction, preventing over-dosing of reduction agents, an availability boost in water wash and emission compliance.

John Doe

Implementation Process

Step What We Did Operator Role
1. Data-Driven Bottleneck Discovery 30 days of 1-min tags fed into mass-balance & fouling models to quantify steam and chemical losses. Validated model bias; tagged atypical liquor batches.
2. Collaborative Solution Design
  • ML-guided soot-blow scheduler
  • Real-time reduction-ratio estimator
  • Adaptive O₂-trim logic
Piloted logic in shadow mode; agreed safety limits.
3. Straightforward Integration Algorithms embedded in existing Valmet DCS—no new instruments. Dashboards flag new constraints live. Approved HMI views; finished a half-day orientation.
Results

€ 615,000 Annual Gain

Initiative Challenge Outcome
Steam-Use Reduction Fixed-interval soot-blow steam waste Steam saving ≈ € 395k/yr
Chemical-Cost Cut Over-dosing reduction agents Chemical saving ≈ € 220k/yr
Availability Boost Water-wash shuts 0 unplanned washes in 8 months
Emission Compliance NOₓ at higher loads 12 mg/Nm³ head-room created

Financial Summary – ≈ € 615 000/year verified savings. pay-back of 3 months.

Takeaways

Key Takeaways

  1. Chemistry + Controls = Margin – Tight reduction-ratio control slashes chemical spend while freeing steam.
  2. Adaptive Cleaning Saves Steam – ML sequencer fires lances only when cost-benefit is positive.
  3. Operator-Centred Design – Co-authored limits and live dashboards accelerated adoption.
  4. Sustainability Meets Profitability – Less steam and fewer washes cut fuel, CO₂, and downtime simultaneously.
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