Kyushu University · Environmental Science
Professor Naoki Ikegaya's research lab specializes in indoor air flow dynamics and ventilation efficiency, focusing on computational fluid dynamics (CFD) simulations to optimize natural ventilation in urban building clusters. The lab investigates how building geometry, opening positions, and airflow patterns influence cross-ventilation rates and pollutant dispersion. Key contributions include the rigorous mathematical formulation of net escape velocity and probability, enabling precise prediction of scalar transport in indoor environments. The lab's work bridges fluid mechanics and environmental engineering for healthier and more energy-efficient indoor spaces.
Figures are computed from collected data and may differ slightly.
Computational fluid dynamics simulations with a Reynolds-averaged Navier-Stokes model were performed for flow fields over a building array and inside a building in the array with different building opening positions. Ten combinations of opening locations were selected to investigate the effect of the locations on indoor cross-ventilation rates. The results of these simulations show that the exterior distributions of mean wind speed and turbulence kinetic energy hardly differ even though building
Net escape velocity (NEV) and net escape probability (NEP) are concepts that describe that scalar quantity discharged from a source in an indoor air environment is expressed by the unique velocity scales of the returning and escaping populations. Despite the conceptual description and applications of several numerical simulations, the definitions were not precisely explained using a mathematical formula. Here, we derive rigorous mathematical formulations of the NEV and NEP. These formulations pr
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