Integrating twisted wind profiles to Air Ventilation Assessment (AVA): The current status

Weerasuriya, Asiri Umenga; Tse, K.T.; Zhang, Xuelin; Kwok, K.C.S.

doi:10.1016/j.buildenv.2018.03.024

Cited by 19 publications

(3 citation statements)

References 22 publications

(35 reference statements)

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“…5) Inlet profiles, conventional idealized profiles without wind veer, or fully developed profiles with wind veer. Including wind veer, or "twisted wind profiles," gave superior results in an Air Ventilation Assessment (Weerasuriya et al, 2018), and will likely affect pedestrian comfort as well.…”

Section: Discussionmentioning

confidence: 99%

Pedestrian Wind Comfort Assessment Using Computational Fluid Dynamics Simulations With Varying Number of Wind Directions

Hågbo

Giljarhus

2022

Front. Built Environ.

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The construction of a building inevitably changes the microclimate in its vicinity. Many city authorities request comprehensive wind studies before granting a building permit, which can be obtained through Computational Fluid Dynamics (CFD) simulations. Investigating the wind conditions for 12 wind directions has previously been considered sufficient in most literature and the industry. However, the effect of changing the number of simulated wind directions is still not well understood. This article investigates the influence of the number of simulated wind directions on pedestrian wind comfort maps. A neighborhood in Niigata city, Japan, was chosen as a case study. Simulations are performed in OpenFOAM using a Reynolds-averaged Navier-Stokes model and the realizable k-ϵ turbulence model. The inlet profiles form a homogeneous atmospheric boundary layer with neutral stratified conditions and a logarithmic velocity profile. The pedestrian wind comfort maps are converging toward a final map as more wind directions are included. The area of the maps classified with the same comfort as using 64 wind directions is 79% using 4 wind directions, 92% using 8 wind directions, 96% using 16 wind directions, and 99% using 32 wind directions. A greater understanding of the influence of the number of simulated wind directions included may enable more efficient pedestrian wind comfort studies that recognize the associated uncertainties.

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Section: Discussionmentioning

confidence: 99%

Pedestrian Wind Comfort Assessment Using Computational Fluid Dynamics Simulations With Varying Number of Wind Directions

Hågbo

Giljarhus

2022

Front. Built Environ.

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“…The planned conditions shows that the average of wind speed decreases compared to the current conditions, from 1.5 m/s to 1.3 m/s. This change occurs due to environmental modifications such as changes in building patterns or the addition of design elements that can affect airflow [26].…”

Section: Wind Speedmentioning

confidence: 99%

Study of thermal comfort in the Sentra Primer Barat CBD Area using envi-met simulation

Geminastiti,

Atianta,

Kustiwan

2024

IOP Conf. Ser.: Earth Environ. Sci.

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By 2045, it is estimated that almost 70% of Indonesia’s population will live in urban areas. However, the growing population and density of the city of Jakarta has led to a significant increase in temperature, which has a negative impact on the comfort of living in the region. Sentra Primer Barat CBD is one of the strategic central business districts in Jakarta. The purpose of this study is to identify the condition of thermal comfort in the Sentra Primer Barat CBD Area in two conditions, the current conditions and the planned conditions. The planned conditions are adapted into instructions on urban design guideline for Sentra Primer Barat. The study uses ENVI-met software to analyse thermal comfort. Microclimate parameters that are used for the study are air temperature, wind speed, humidity, and Tmrt (Temperature Mean Radiant). The parameters will then be reviewed and utilised to see their implications for thermal comfort index. The results shows a significant difference between the current conditions and the planned conditions. Under planned conditions, there is an increase in average air temperature and Tmrt, while average wind speed and average humidity see a decrease. This indicates higher potential of thermal discomfort in the study area. The thermal comfort index (PET) also deteriorate under the planned conditions. This research highlights the importance of improving thermal comfort in the Sentra Primer Barat CBD Area and provides guidance for better urban planning in the future. It is expected that environmental improvement efforts in this region can improve the residents’ quality of life and promote sustainability of the urban environment.

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“…Moderate and low winds are beneficial, whereas strong and destructive winds may cause structural damages [ 7 ]. Additionally, changes in the wind environment around a building may affect the structural durability of nearby buildings [ 8 ]. Hence, considerable research efforts have focused on the changes in the wind environment, wind flow, and wind pressure characteristics in tall buildings [ 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Wind-Induced Pressure Prediction on Tall Buildings Using Generative Adversarial Imputation Network

Kim

Yuvaraj

Preethaa

et al. 2021

Sensors

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Wind tunnel testing techniques are the main research tools for evaluating the wind loadings of buildings. They are significant in designing structurally safe and comfortable buildings. The wind tunnel pressure measurement technique using pressure sensors is significant for assessing the cladding pressures of buildings. However, some pressure sensors usually fail and cause loss of data, which are difficult to restore. In the literature, numerous techniques are implemented for imputing the single instance data values and data imputation for multiple instantaneous time intervals with accurate predictions needs to be addressed. Thus, the data imputation capacity of machine learning models is used to predict the missing wind pressure data for tall buildings in this study. A generative adversarial imputation network (GAIN) is proposed to predict the pressure coefficients at various instantaneous time intervals on tall buildings. The proposed model is validated by comparing the performance of GAIN with that of the K-nearest neighbor and multiple imputations by chained equation models. The experimental results show that the GAIN model provides the best fit, achieving more accurate predictions with the minimum average variance and minimum average standard deviation. The average mean-squared error for all four sides of the building was the minimum (0.016), and the average R-squared error was the maximum (0.961). The proposed model can ensure the health and prolonged existence of a structure based on wind environment.

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Integrating twisted wind profiles to Air Ventilation Assessment (AVA): The current status

Cited by 19 publications

References 22 publications

Pedestrian Wind Comfort Assessment Using Computational Fluid Dynamics Simulations With Varying Number of Wind Directions

Pedestrian Wind Comfort Assessment Using Computational Fluid Dynamics Simulations With Varying Number of Wind Directions

Study of thermal comfort in the Sentra Primer Barat CBD Area using envi-met simulation

Wind-Induced Pressure Prediction on Tall Buildings Using Generative Adversarial Imputation Network

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