Indoor airflow and thermal comfort in a cross-ventilated building within an urban-like block array using large-eddy simulations

Hirose, C.; Ikegaya, Naoki; Hagishima, Aya; Tanimoto, Jun

doi:10.1016/j.buildenv.2021.107811

Cited by 25 publications

(10 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies have examined indoor airflow within constructions and buildings driven exclusively by the influence of natural external winds ( Liu and Lee, 2020 , Cui et al, 2021 , Hirose et al, 2021 , Maroni et al, 2021 , Matour et al, 2021 ). Fig.…”

Section: Resultsmentioning

confidence: 99%

Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems

Zorzi

Neckel

Maculan

et al. 2022

Geoscience Frontiers

View full text Add to dashboard Cite

show abstract

Section: Resultsmentioning

confidence: 99%

Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems

Zorzi

Neckel

Maculan

et al. 2022

Geoscience Frontiers

View full text Add to dashboard Cite

show abstract

“…The first challenge is the validation of CFD predictions of the complex flow phenomena that occur during combined buoyancy- and wind-driven natural ventilation in an urban environment. To date, validation of CFD results for natural ventilation has primarily focused on wind-driven ventilation processes, considering both small-scale (Adachi, Ikegaya, Satonaka, & Hagishima, 2020; Hirose, Ikegaya, Hagishima, & Tanimoto, 2021; Hu, Ohba, & Yoshie, 2008; Hwang & Gorlé, 2022a, 2022b; Murakami, Ikegaya, Hagishima, & Tanimoto, 2018; Ramponi & Blocken, 2012; Shirzadi, Tominaga, & Mirzaei, 2020; Tominaga & Blocken, 2016; van Hooff, Blocken, & Tominaga, 2017) and full-scale (Jiang & Chen, 2002; King et al., 2017; Larsen, Nikolopoulos, Nikolopoulos, Strotos, & Nikas, 2011) experiments. Buoyancy-driven ventilation has received comparatively less attention, possibly because the flow is more challenging to model.…”

Section: Introductionmentioning

confidence: 99%

Large-eddy simulations to define building-specific similarity relationships for natural ventilation flow rates

Hwang

Gorlé

2023

Flow

View full text Add to dashboard Cite

Natural ventilation can play an important role towards preventing the spread of airborne infections in indoor environments. However, quantifying natural ventilation flow rates is a challenging task due to significant variability in the boundary conditions that drive the flow. In the current study, we propose and validate an efficient strategy for using computational fluid dynamics to assess natural ventilation flow rates under variable conditions, considering the test case of a single-room home in a dense urban slum. The method characterizes the dimensionless ventilation rate as a function of the dimensionless ventilation Richardson number and the wind direction. First, the high-fidelity large-eddy simulation (LES) predictions are validated against full-scale ventilation rate measurements. Next, simulations with identical Richardson numbers, but varying dimensional wind speeds and temperatures, are compared to verify the proposed similarity relationship. Last, the functional form of the similarity relationship is determined based on 32 LES. Validation of the surrogate model against full-scale measurements demonstrates that the proposed strategy can efficiently inform accurate building-specific similarity relationships for natural ventilation flow rates in complex urban environments.

show abstract

“…The study demonstrated the statistical flow feature of the turbulent flow over a single block model. Furthermore, Hirose et al [11] applied LES not only to study the indoor flow feature but also to investigate the thermal comfort in a cross ventilating building. Moreover, Adachi et al [12] executed LES to examine the sheltering effect from the surrounding building array and to measure the ventilation rate in the cross-ventilation model.…”

Section: Introductionmentioning

confidence: 99%

Statistical analysis of turbulent flow over a building array using LES

Osman,

Muhd Azhar Zainol,

Ikegaya

2023

Proceedings of International Exchange and Innovation Conference on Engineering &Amp; Sciences (IEICES)

View full text Add to dashboard Cite

Understanding the turbulent flow feature over building arrays are essential because the flow distribution is determined by the interaction between the atmospheric boundary layer and building array. The present study investigated the turbulent statistics over roughness elements arranged in a staggered array using large eddy simulation. Unlike a conventional method to drive the flow by the constant pressure gradient, the current simulation method employed a vertical profile of the streamwise pressure gradient determined by the experimental data of the Reynolds stress obtained in a wind tunnel. The time series data were analyzed to determine the fundamental statistics and probabilistic characteristics. The results revealed that the probability density function of the streamwise velocity component followed the gaussian distribution curve behind the building model. However, the probability density function of the vertical component showed a positive skewed results owing to the reverse flow back to the roughness element.

show abstract

Indoor airflow and thermal comfort in a cross-ventilated building within an urban-like block array using large-eddy simulations

Cited by 25 publications

References 30 publications

Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems

Geo-environmental parametric 3D models of SARS-CoV-2 virus circulation in hospital ventilation systems

Large-eddy simulations to define building-specific similarity relationships for natural ventilation flow rates

Statistical analysis of turbulent flow over a building array using LES

Contact Info

Product

Resources

About