Development of numerical prediction method for indoor air quality distribution and inhalation exposure concentration

2017 Fiscal Year Final Research Report

• Project/Area Number: 15H04086
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Architectural environment/Equipment
• Research Institution: Kyushu University
• Principal Investigator: Ito Kazuhide 九州大学, 総合理工学研究院, 教授 (20329220)
• Co-Investigator(Kenkyū-buntansha): Lim Eunsu 東洋大学, 理工学部, 准教授 (50614624)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 数値人体モデル / 数値気道モデル / 経気道暴露 / 計算流体力学 / 室内空気環境

Outline of Final Research Achievements

The importance of indoor air quality (IAQ) has been increasing as people spend more time indoors. Especially, inhaled air concentration of resident has direct impact on health. Against this background, this study aimed to develop a comprehensive numerical human body model (Computer Simulated Person: CSP), that would integrate respiratory tract models for indoor environmental quality assessment, and to use the CSP to develop an integrated numerical simulation procedure for airflow, temperature and contaminant transport by computational fluid dynamics (CFD).
The significant outcomes of this study included the development of a CSP that reproduced both human body geometry and the respiratory tract from nasal and oral cavity to bronchial tubes in detail, the numerical simulation method to calculate the non-uniform distributions of indoor contaminants, and a method of evaluating inhalation exposure risk for a CSP with a respiratory tract model.

Free Research Field

建築環境・設備