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Returning and net escape probabilities of contaminant at a local point in indoor environment
Faculty of Engineering Sciences, Kyushu University, Fukuoka, Japan.
Faculty of Science and Engineering, Toyo University, Tokyo, Japan.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building, Energy and Environmental Engineering, Energy system.
Faculty of Engineering Sciences, Kyushu University, Fukuoka, Japan.
2017 (English)In: Building and Environment, ISSN 0360-1323, E-ISSN 1873-684X, Vol. 125, 67-76 p.Article in journal (Refereed) Published
Abstract [en]

The quantified recirculation of a contaminant in a local domain is an essential property of the ventilation efficiency in a room. The returning probability of a contaminant (α) generated in a local domain and its net escape probability (NEP) are essential information for understanding the structure of the contaminant concentration distribution in a room and for controlling the indoor air quality. Here, we propose the fundamental definitions of α and NEP and discuss their potential relation with the net escape velocity (NEV) concept. NEP is defined at a local point and/or local domain as the probability that a contaminant is exhausted directly through an exhaust outlet and does not re-circulate to the target local point/domain again. In a computational fluid dynamics (CFD) simulation, the minimum local domain in a room corresponds to the control volume (C.V.) of discretization; hence, NEP in a C.V. is assumed as the probability in a point without volume. In this study, the calculation results of α, NEP, and NEV distributions in a simple two-dimensional model room and a three-dimensional room with push-pull type ventilation system are demonstrated and discussed.

Place, publisher, year, edition, pages
Elsevier Ltd , 2017. Vol. 125, 67-76 p.
Keyword [en]
Computational fluid dynamics, Indoor environment, Net escape probability, Net escape velocity, Returning probability, Ventilation effectiveness, Air quality, Contamination, Fluid dynamics, Indoor air pollution, Probability, Quality control, Ventilation, Computational fluid dynamics simulations, Contaminant concentrations, Escape probability, Escape velocities, Two dimensional model, Ventilation efficiency, Probability distributions
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:hig:diva-25355DOI: 10.1016/j.buildenv.2017.08.028Scopus ID: 2-s2.0-85028576284OAI: oai:DiVA.org:hig-25355DiVA: diva2:1146929
Note

Funding text: This research was partly supported by a Grant-in-Aid for Scientific Research (JSPS KAKENHI (B), 16H04466). The authors would like to express special thanks to the funding source.

Available from: 2017-10-04 Created: 2017-10-04 Last updated: 2017-10-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard-cite-them-right
  • ieee
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