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Radiological HEPA Filter 10-year Lifetime Evaluation in Research Facilities.

J Matthew Barnett1, Mary Bliss1, Kobe R Schrank

  • 1Pacific Northwest National Laboratory, PO Box 999, MSIN J2-25, Richland, WA 99352.

Health Physics
|March 21, 2022
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This study found that high-efficiency particulate air (HEPA) filter replacement in nuclear facilities should be based on operational needs, not a fixed 10-year age limit. This data-driven approach optimizes HEPA filter service life and performance.

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Area of Science:

  • Environmental Engineering
  • Nuclear Engineering
  • Filtration Technology

Background:

  • High-efficiency particulate air (HEPA) filters are critical for removing radioactive contaminants from nuclear facility exhaust.
  • Current practices often rely on a prescriptive 10-year replacement schedule, regardless of actual filter condition.
  • Understanding HEPA filter service life is crucial for operational efficiency and safety.

Purpose of the Study:

  • To evaluate the relationship between the 10-year deployment period and other performance indicators of HEPA filters.
  • To determine optimal replacement strategies for HEPA filters in nuclear facilities.
  • To analyze historical data for predicting long-term HEPA filter performance.

Main Methods:

  • A decade-long data collection and analysis of HEPA filters at the Pacific Northwest National Laboratory (2010-2020).
  • Annual surveys and performance analyses of selected HEPA filters to ensure compliance.
  • Correlation analysis between filter age, operational parameters (e.g., fume hood face velocity), and efficiency test results.

Main Results:

  • HEPA filter replacement frequency can be optimized based on operational requirements like face velocity and efficiency test outcomes.
  • A fixed 10-year age limit may not align with actual filter performance under dry operating conditions.
  • Experimentally determined failure rates allow for estimations of HEPA filter survival beyond 10 years, up to 30 years.

Conclusions:

  • Shift from a time-based (10-year) replacement schedule to a performance-based approach for HEPA filters.
  • Operational data, including face velocity and efficiency tests, should guide HEPA filter replacement decisions.
  • The study provides a foundation for predicting HEPA filter longevity and optimizing maintenance schedules in nuclear applications.