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White Paper: Why Many Distillation Units Waste 20–35% of The Solvent

Two employees are inspecting chemical containers at a printing plant
Quality Control in Production: Two employees check to see if there is enough purified solvent.

How operators of existing distillation plants can increase their recovery rate, reduce operating costs, and identify hidden efficiency losses

The Hidden Problem with Many Distillation Plants

Many companies already have their own distillation plants and therefore assume that their solvent recovery is already optimized. In practice, however,
the reality is quite different. While modern systems can achieve recovery rates of 92–97%, many existing plants consistently operate in the 60–70% range.

An IBC containing fresh solvent is brought into the production area.

The result:

  • Larger volumes of waste
  • Higher energy costs per liter of distillate
  • Additional logistical effort
  • Hidden costs that often go unnoticed

The low recycling rate is often accepted as unavoidable. However, the cause often lies not in the solvent itself, but in a combination of:

  • Plant Design
  • Maintenance Status
  • Operation
  • Process Settings
  • Wear and tear

Conclusion:

Many distilleries are operating below their capacity, thereby incurring unnecessary costs.

Common Causes of Low Recovery Rates

Five Causes of Low Recovery Rates in Solvent Distillation Units
An Overview of Common Causes of System Malfunctions

Irregular maintenance

Many operators do not perform maintenance until problems become apparent. Typical consequences include fouled heat exchangers, reduced evaporation capacity, longer batch times, and increased energy consumption.

Operating Errors in Everyday Life

The checkpoints defined in the manual are often not carried out consistently. Typical examples include inadequate cleaning, incorrect fill levels, incorrect temperature settings, and failure to detect signs of wear. Even minor deviations can significantly affect the recovery rate.

plant design

Not every distillery offers the same physical conditions for high solvent recovery. One factor that is often underestimated is the geometry of the distillation kettle. Many systems available on the market feature a conical
vessel design, which can present disadvantages, particularly in terms of heat transfer.

process settings

Many systems have few configuration options, a
low level of automation, and insufficient process analysis with customization options.

When the Investment Structure Becomes a Limiting Factor

Not every distillation plant is suitable for maximum solvent recovery. One factor that is often underestimated is the design of the distillation system itself. Many older or simpler plant designs reach their technical limits, particularly when dealing with complex solvent mixtures.

Technical cross-sectional drawing of a conical distillation vessel showing the heating surfaces and the associated heat losses

the container geometry

Many systems available on the market use conical distillation vessels. Due to their design, this configuration can lead to certain disadvantages:

  • Significant energy losses during distillation
  • Uneven heat distribution across the heating surfaces
  • Decreasing distillation capacity as the liquid level drops
  • This results in longer batch times!

In such designs, the effective heating surface is often reduced, particularly at lower fill levels. The result is a continuous drop in output during the batch.

INACCURATE TEMPERATURE MEASUREMENT

In some system designs, temperature measurement is performed with relatively low accuracy and high hysteresis.

Possible effects:
  • Temperature fluctuationsof several degrees Celsius
  • reduced distillation capacity
  • Unstable case management
  • increased foaming
  • System Overflow During Critical Operating Conditions
  • Difficulties in monitoring during refilling operations

Precise temperature control can be crucial for product quality and recovery rates, especially when dealing with complex solvent mixtures.

Limited process monitoring

Existing systems often provide only limited process information. Most operators have access only to basic data such as heating time, vacuum time, and batch duration.

As a result, important information is missing for
  • Productivity Analyses
  • Efficiency Assessments
  • Root Cause Analysis for Performance Fluctuations
  • Optimizing the Recovery Rate

Without reliable process data, many operational losses remain hidden.

Limited tolerance for fluctuating media

In practice, solvent mixtures are constantly changing. Typical factors that influence this include: varying solids content, different levels of contamination, water content, and process residues. Not all system designs can reliably handle such fluctuations.

Possible consequences:
  • fluctuating distillate quality
  • declining recovery rates
  • increasing operational burden
  • more frequent process interruptions

Lack of output and backlog monitoring

In simpler systems, the emptying process often takes place without active monitoring of the remaining residue.

This gives rise to risks related to:
  • NC fires caused by dried-out residue on the exposed heating surfaces
  • Product Losses
  • unnecessarily high residual amounts
  • inconsistent batch results
  • additional cleaning effort

Special Challenges with Solvents Containing NC

Design differences become particularly apparent when dealing with sensitive solvent mixtures containing nitrocellulose (NC).

These media place increased demands on:
  • Temperature Control
  • Heat Transfer
  • Process Stability
  • Distribution Concept
  • Plant Control

While modern plant designs can achieve high recovery rates even with such mixtures, older or less specialized systems often:

  • significantly lower distillation capacities
  • lower recycling rates
  • longer batch times
  • increased process instability

Conclusion:

Low recovery rates are not always due to maintenance or operation. In many cases, the system design itself sets the limit on achievable performance. Therefore, if recycling rates remain consistently low, it is important to evaluate not only the system’s operation but also the design parameters of the system in use.

Would you like the entire white paper, including

  • Checklist of key metrics you should review regularly
  • Sample Calculation, Industry Benchmark
  • Case Study
  • and much more.

Then feel free to download it here as a PDF—it's free and requires no additional information.

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