skip to main content
10.1145/3177457.3177483acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiccmsConference Proceedingsconference-collections
research-article

An Indoor Airflow Simulation and Airborne Dust Concentration Analysis

Authors Info & Claims
Published:08 January 2018Publication History

ABSTRACT

Indoor air condition is paid attention by people because of its direct relation to human health. The Computational Fluid Dynamics (CFD) simulation is broadly used in architectural ventilating system design. Here, the commercial simulation software Ansys is used to predict the indoor airborne dust contribution. Based on a model of college students' dormitory, the CFD simulated air velocity distribution and air flow duct to predict the airborne dust distribution. Meanwhile, this study examined the dust concentration in the same room via the dust sensor. Integrating results from both the simulation and the dust sensor, we concluded the distribution of dust particles in the room.

This study integrates the sensor network with simulation, allowing for computing the airborne dust distribution with a border range. In the future the system could predict a variety of airborne particles contributing to the air pollution by applying different sensors.

References

  1. Zhao, B., Zhang, Y., Li, X., Yang, X., and Huang, D. Comparison of indoor aerosol particle concentration and deposition in different ventilated rooms by numerical method. Building and Environment 39.1 (2004): 1--8.Google ScholarGoogle Scholar
  2. Posner, J. D., Buchanan, C. R., and Dunn-Rankin, D. Measurement and prediction of indoor air flow in a model room. Energy and buildings 35.5 (2003): 515--526.Google ScholarGoogle Scholar
  3. Zhai, Z. J., Zhang, Z., Zhang, W., and Chen, Q. Y. Evaluation of various turbulence models in predicting airflow and turbulence in enclosed environments by CFD: Part 1---Summary of prevalent turbulence models. Hvac&R Research 13.6 (2007): 853--870.Google ScholarGoogle Scholar
  4. Zhang, Z., Zhang, W., Zhai, Z. J., and Chen, Q. Y. Evaluation of various turbulence models in predicting airflow and turbulence in enclosed environments by CFD: Part 2---Comparison with experimental data from literature. Hvac&R Research 13.6 (2007): 871--886.Google ScholarGoogle Scholar
  5. Chen, Q. Comparison of different k-ε models for indoor air flow computations. Numerical Heat Transfer, Part B Fundamentals 28.3 (1995): 353--369.Google ScholarGoogle Scholar
  6. Zhang, Z., and Chen, Q. Experimental measurements and numerical simulations of particle transport and distribution in ventilated rooms. Atmospheric environment 40.18 (2006) 3396--3408.Google ScholarGoogle Scholar
  7. Ramponi, R., and Blocken, B. CFD simulation of cross-ventilation for a generic isolated building: impact of computational parameters. Building and Environment 53 (2012) 34--48.Google ScholarGoogle Scholar
  8. Chen, Q., and Xu, W. A zero-equation turbulence model for indoor airflow simulation. Energy and buildings 28.2 (1998): 137--144.Google ScholarGoogle Scholar
  9. Lee, S., Lee, H., Park, S., Shin, J., Kim, H., Jeon, G., and Lee, J. K. Visualization of the Airborne Dust Concentration on the Building Floor Plans. In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction 32.1. Vilnius Gediminas Technical University, Department of Construction Economics & Property, 2015.Google ScholarGoogle Scholar
  10. Goldasteh, I., Ahmadi, G., and Ferro, A. R. Wind tunnel study and numerical simulation of dust particle resuspension from indoor surfaces in turbulent flows. Journal of Adhesion Science and Technology 27.14 (2013): 1563--1579.Google ScholarGoogle Scholar

Index Terms

  1. An Indoor Airflow Simulation and Airborne Dust Concentration Analysis

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Other conferences
        ICCMS '18: Proceedings of the 10th International Conference on Computer Modeling and Simulation
        January 2018
        310 pages
        ISBN:9781450363396
        DOI:10.1145/3177457

        Copyright © 2018 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 8 January 2018

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed limited
      • Article Metrics

        • Downloads (Last 12 months)6
        • Downloads (Last 6 weeks)0

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader