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Title: Prediction of radon removal efficiency for a flow-through activated charcoal system and radon mitigation characteristics

Journal Article · · Radiation Measurements
 [1];  [2];  [2];  [2]; ORCiD logo [3]; ORCiD logo [4]
  1. Univ. of South China, Hunan (China). School of Nuclear Science and Technology; Univ. of Michigan, Ann Arbor, MI (United States). Radiological Health Engineering Lab., Dept. of Nuclear Engineering and Radiological Sciences
  2. Univ. of South China, Hunan (China). School of Nuclear Science and Technology
  3. Univ. of Michigan, Ann Arbor, MI (United States). College of Engineering, Dept. of Materials Science and Engineering
  4. Univ. of Michigan, Ann Arbor, MI (United States). Radiological Health Engineering Lab., Dept. of Nuclear Engineering and Radiological Sciences

Activated charcoal was widely used in radon researches and mitigation applications because of good adsorption ability. Here in the paper, a simple model that can predict radon removal efficiency (η) for radon mitigation applications using flow-through activated charcoal system was developed based on the previous works. Experiments were conducted with a flow-through activated charcoal system to validate the model and study the influence of factors on η. The experimental results of η are consistent with the theory to within 4% at the flow rates of 1–3 L/min, but range from 2% to 14% at the flow rates of 4–5 L/min. The equilibrium time of radon linearly decreases with rising flow rate, and η decreases with rising flow rate. With moisture competing with radon for adsorption sites on the activated charcoal, radon reaches the equilibrium concentration more quickly than moisture does. As relative humidity increases, η decreases, but the radon equilibrium concentration increases. The values of η are bigger for those smaller particle sizes with the same type of activated charcoal. The results of this paper are useful for designing activated charcoal systems at indoor environmental conditions and predicting η for radon mitigation applications.

Research Organization:
Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
NA0002534; DC1606; DC201704; 2017JJ3267
OSTI ID:
1516927
Alternate ID(s):
OSTI ID: 1636953
Journal Information:
Radiation Measurements, Vol. 119, Issue C; ISSN 1350-4487
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 7 works
Citation information provided by
Web of Science

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