Computational Modeling and validation of Indoor Radon Gas Dynamics and Accumulation Using Ansys Fluent Simulation

Authors

  • YUSUF MOHAMMED AUWAL

    Yobe State University Damaturu. Nigeria
    Author
  • OSITA CHUKWUDI MELUDU

    MODIBBO ADAMA UNIVERSITY, YOLA. NIGERIA
    Author
  • TIMTERE PASCAL

    MODIBBO ADAMA UNIVERSITY, YOLA. NIGERIA
    Author

Keywords:

Computational modelling, Indoor Radon gas, Gas dynamic, Ansys fluent simulation

Abstract

Radon is a naturally occurring radioactive gas that poses significant health risks when accumulated in indoor environments. Understanding its transport and accumulation dynamics is crucial for effective mitigation strategies. This study aims to model radon gas transport using the Navier-Stokes equation and computational fluid dynamics (CFD) simulations, validated with experimental data from residential buildings in Adamawa, Gombe, and Yobe States, Nigeria. The research investigates the effects of architectural parameters such as room height, foundation thickness, ventilation rate, and humidity on indoor radon levels. Ansys Fluent 2025 R1 was employed to develop a 3D numerical model incorporating key boundary conditions, air exchange rates, and radon entry dynamics. Experimental validation was conducted using Solid State Nuclear Track Detectors (SSNTDs) deployed over six months. Results showed that measured radon concentrations ranged from 193.31 Bq/m³ to 73.19 Bq/m³, while simulated values ranged from 187.30 Bq/m³ to 67.86 Bq/m³, with relative deviations of 3.11%, 5.20%, and 7.28% for different locations. Increasing foundation thickness from 2 cm to 10 cm reduced radon concentration from 210 Bq/m³ to 80 Bq/m³, while raising room height from 2.5 m to 4.0 m decreased radon levels from 200 Bq/m³ to 60 Bq/m³. Sensitivity analysis demonstrated that improved ventilation significantly lowered radon accumulation, whereas poor air exchange led to increased buildup. The study introduces an innovative application of CFD modeling for optimizing indoor architectural designs to mitigate radon exposure. Statistical validation using root mean square error (RMSE) and correlation coefficient (R²) confirmed a strong agreement between experimental and simulated data. The findings emphasize the importance of incorporating adequate ventilation, increased foundation thickness, and higher room ceilings in building designs to minimize radon-related health risks. It is recommended that building regulations and construction practices integrate these strategies to enhance indoor air quality and protect public health.

 

Author Biographies

  • YUSUF MOHAMMED AUWAL, Yobe State University Damaturu. Nigeria

    DEPARTMENT OF PHYSICS

  • OSITA CHUKWUDI MELUDU, MODIBBO ADAMA UNIVERSITY, YOLA. NIGERIA

    DEPARTMENT OF PHYSICS

  • TIMTERE PASCAL, MODIBBO ADAMA UNIVERSITY, YOLA. NIGERIA

    DEPARTMENT OF PHYSICS

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Published

2025-05-08

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