Position:       Assistant Professor
Degree:        Ph.D
Laboratory:  Environmental System, Engineering for Assessing the Sustainable Environment
to Laboratory Homepage

Estimation of Indoor and Urban Thermal Environment by Using Computational Fluid Dynamics

Fluid dynamics is a field of study that involves investigating the behavior of fluids, including gases and liquids such as air, water, and oil. The field incorporates the area of computational fluid dynamics (CFD), which involves investigating fluids using computer simulations. In my research, CFD is applied to estimating indoor or urban thermal environment aspects, such as flow and temperature field, with the aim of designing air-conditioner or building configurations.

Assimilation of Numerical Models and Observation Data

Numerical models allow us to estimate indoor or urban thermal environments. However, to accurately predict future thermal environments, it is important to understand the current environment. In weather prediction, for example, numerous observed data from meteorological satellites and meteorological observation stations are used to reproduce current meteorological conditions, which are used to predict future weather conditions. This technique of combining observed data and numerical models is known as data assimilation. In my research, data assimilation methods are used to estimate indoor or urban thermal environments.

Publication

1. Matsuo T., Shimadera H., Kondo A. 2019. Identification of Multiple Contamination Sources using Variational Continuous Assimilation. Building and Environment, Vol.147, pp. 422-433
2. Matsuo T., Kondo A., Shimadera H., Kyuno T., Inoue Y. 2015. Estimation of indoor contamination source location by using variational continuous assimilation method, Building Simulation, Vol.8, Issue.4, pp.443-452
3. 松尾智仁, 嶋寺光, 近藤明, 小松彰, 塩地純夫. 2017. 連続的データ同化法を用いた室内環境推定に関する研究 第3報――室内放出源推定の観測誤差に対する感度解析. 空気調和・衛生工学会論文集, Vol.249, pp. 23-31