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Evaporator Optimization
Pulp & Paper Company, North America

Water Management

Evaporator Optimization

Evaporator Optimization
Pulp & Paper Company, North America
Evaporator Optimization

Evaporator Optimization

Evaporator Optimization
Executive Summary

A Yearly $238 kCAD in Steam & Chemicals

We embedded a wash-schedule optimiser and vapour-sharing MPC on a five-effect concentrator set. The optimisation project cut wash water by 30 %, raised steam economy, and eliminated unplanned drain-and-wash downtime. A finance audit confirms ≈ CAD 238 000 in recurring annual savings—achieved with zero hardware cap-ex.

Client Background

Integrated 420 kTon Kraft Operation

Situated in Northern America, this integrated kraft operation has produced bleached softwood pulp for more than forty years, shipping ≈ 420 000 t per year to packaging and tissue customers across North America and Asia. The concentrator train is the critical link between the fibreline and recovery boiler; any wash event throttles liquor throughput and steam supply.

Problem

Fixed-Interval Washing Wastes Steam

When the customer reached out to us they were facing numerous challenges

  • Escalating energy costs — natural-gas prices and carbon-tax surcharges have climbed sharply since 2021.
  • Stringent water-use permits — every wash must be captured and treated under provincial regulations.
  • Fibre-cost pressure — regional log prices remain above their five-year average, squeezing margins.

Conservative time-based washing dumped hot liquor, wasting steam and chemicals. If fouling built faster than the schedule, an unplanned wash shut the line for hours.

Some of their key pain points were

  • 4- to 6-hour unplanned washes two to three times per month.
  • Steam-economy drift ± 2 %.
  • Excess wash water raised effluent-treatment load.
Solution

Anssum's Three Step Solution Framework

The client’s mill was grappling with tough challenges, prompting us to deploy Anssum’s three-step framework:

  • Data-Driven Discovery: Unlocking insights through smart analytics.
  • Collaborative Design: Crafting solutions hand-in-hand with the client.
  • Straightforward Integration: Rolling out changes smoothly for maximum impact.

John Doe

Implementation Process

Step What We Did Operator Role
1 Data-Driven Discovery Six weeks of 5-min tag data modelled fouling rate vs. liquor viscosity & solids. Flagged outlier batches; validated soft-sensor bias.
2 Collaborative Design MPC balances vapour loads; wash-need index triggers cleaning only when cost-benefit is positive. Piloted logic in shadow mode; set safe wash-index threshold.
3 Straightforward Integration Optimiser embedded in the existing DCS; no new transmitters. Dashboards show live fouling index & steam KPI. Approved a single new HMI; one-shift hand-over session.
Results

$238 kCAD Annual Gain

Initiative Challenge Addressed Outcomes
Steam-Economy Boost High steam/tonne ratio Steam economy +2%
Wash-Water Reduction Fixed 8-h wash interval Wash water –30%
Drain-and-Wash Cut Unplanned fouling events Unplanned drains ↓95%

Financial Summary – ≈ CAD 238 000/year verified savings value-to-cost ratio exceeding 10 : 1.

Takeaways

Key Takeaways

Wash-on-need beats fixed intervals – cleaning only when fouling cost outweighs steam cost.

Soft-sensor analytics deliver lab-grade insight without extrainstruments.

Controls over cap-ex – all gains achieved through collaborative partnership.

Water, energy, and CO₂ wins align with ESG commitments and regulatory caps.

Contact

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