Computational analysis of wind driven natural ventilation in buildings

Evola, Gianpiero; Popov, Viktor

doi:10.1016/j.enbuild.2005.08.008

Cited by 273 publications

(146 citation statements)

References 19 publications

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“…14b, which shows that the RSM and the standard k-ω models tend to overpredict the experimental values by up to 9 times (x/D = 0.6). Note that in several previous studies, authors pointed out the superior performance of the RNG k-ε model for indoor air flow modeling, especially compared to the standard k-ε model [41,50,64,71]. This is to a large degree confirmed by our study.…”

Section: Impact Of Turbulence Modelsupporting

confidence: 79%

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CFD simulation of cross-ventilation for a generic isolated building: Impact of computational parameters

Ramponi

Blocken

2012

Building and Environment

467

271

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• Extensive literature review on numerical cross-ventilation studies in overview table.• Detailed sensitivity analysis for CFD simulations of a cross-ventilated building model.• The SST k-ω turbulence model shows the best agreement with PIV measurements.• The turbulent kinetic energy strongly influences the convergence and the results.• The prediction of the outdoor standing vortex largely affects the indoor airflow. AbstractAccurate CFD simulation of coupled outdoor wind flow and indoor air flow is essential for the design and evaluation of natural cross-ventilation strategies for buildings. It is widely recognized that CFD simulations can be very sensitive to the large number of computational parameters that have to be set by the user. Therefore, detailed and generic sensitivity analyses of the impact of these parameters on the simulation results are important to provide guidance for the execution and evaluation of future CFD studies. A detailed review of the literature indicates that there is a lack of extensive generic sensitivity studies for CFD simulation of natural cross-ventilation. In order to provide such a study, this paper presents a series of coupled 3D steady RANS simulations for a generic isolated building. The CFD simulations are validated based on detailed wind tunnel experiments with Particle Image Velocimetry. The impact of a wide range of computational parameters is investigated, including the size of the computational domain, the resolution of the computational grid, the inlet turbulent kinetic energy profile of the atmospheric boundary layer, the turbulence model, the order of the discretization schemes and the iterative convergence criteria. Specific attention is given to the problem of oscillatory convergence that was observed during some of these coupled CFD simulations. Based on this analysis, the paper identifies the most important parameters. The intention is to contribute to improved accuracy, reliability and evaluation of coupled CFD simulations for cross-ventilation assessment.

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Section: Impact Of Turbulence Modelsupporting

confidence: 79%

“…[35][36][37][38]) and Computational Fluid Dynamics (CFD) models (e.g. [8,[21][22][23][24][39][40][41][42][43][44][45]). CFD has a number of clear advantages compared with the other approaches (e.g.…”

Section: Introductionmentioning

confidence: 99%

CFD simulation of cross-ventilation for a generic isolated building: Impact of computational parameters

Ramponi

Blocken

2012

Building and Environment

467

271

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“…Table 2 summarizes recent CFD works based on the utilized turbulence model and assessment indices. Evola & Popov, (2006) examined the wind-driven natural ventilation of a cubic building using standard k-ε and RNG turbulence models, while Gebremedhin & Wu, (2003) assessed flow field in a multiple-occupancy ventilated space using a microclimate CFD model. Moreover, Teppner et al, (2014) assessed the air change rate (AHC) of a series of open and tilted windows in a naturally ventilated isolated residential building.…”

Section: Methodsmentioning

confidence: 99%

“…Re-Normalization Group (RNG) k-ε was also employed as the turbulence model to assess the wind-driven ventilation contribution of the Cumba. Several studies emphasized the advantages and high reliability of RANS RNG k-ε turbulence model in the application of natural and mechanical ventilation simulations (Evola & Popov, 2006;Bangalee, Lin, & Miau, 2012). The governing equations for continuity and momentum are as shown below:…”

Section: Governing Equationsmentioning

confidence: 99%

Wind-driven ventilation improvement with plan typology alteration: A CFD case study of traditional Turkish architecture

Aydin

Mirzaei

2016

Build. Simul.

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“…For this larger case, a RANS model, namely the re-normalization group (RNG) k − ε was used; however, ventilations rates were underestimated. Evola and Popov [6] used the experimental results from the previous authors to test two turbulence model, k − ε and RNG k − ε, for three different cases including one of cross-ventilation. They concluded that the RNG k − ε model was in better agreement with the experiments.…”

Section: Introductionmentioning

confidence: 99%

High Fidelity CFD Modeling of Natural Ventilation in a Solar House

Deza

Ganapathysubramanian

et al. 2015

Volume 8A: Heat Transfer and Thermal Engineering

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Natural ventilation is an important factor in the design of sustainable buildings; it has the potential to improve air quality, while providing thermal comfort at reduced energy costs. Computational fluid dynamics (CFD) simulations provide comprehensive information on the internal flow pattern and can be used as a design tool. The present work offers insight of natural ventilation in a fully functional building, namely, the solar facility Interlock House in Iowa. Ventilation in the house is studied during summer months with some of its furniture included. The results show quantitative agreement between numerical simulations and experiments of vertical temperature profiles for each room. The temperature profile of the room with the inlet opening shows a more pronounced temperature variation. Flow patterns show higher velocities near the walls and marked flow circulation towards the opposite side of the building. The purpose of this work is to validate the numerical model that predicts airflow distribution for different configurations. INTRODUCTIONAlmost 40% of the energy usage in the US is utilized in buildings and about 48% of that usage corresponds to heating and cooling. Natural ventilation is an important factor in the design of sustainable buildings; it has the potential to improve air quality, while providing thermal comfort at reduced energy costs. Although the benefits of natural ventilation make it an attractive alternative, as wind and thermal energy are free resources, a good

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Computational analysis of wind driven natural ventilation in buildings

Cited by 273 publications

References 19 publications

CFD simulation of cross-ventilation for a generic isolated building: Impact of computational parameters

CFD simulation of cross-ventilation for a generic isolated building: Impact of computational parameters

Wind-driven ventilation improvement with plan typology alteration: A CFD case study of traditional Turkish architecture

High Fidelity CFD Modeling of Natural Ventilation in a Solar House

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