Computational Fluid Dynamics of Wind Flow and Air Pollution Modelling: A Review on 3D Building Model Standards

Ridzuan, N.; Ujang, Uznir; Azri, Suhaibah; Yusoff, Izham Mohamad

doi:10.1088/1755-1315/1064/1/012051

Cited by 6 publications

(4 citation statements)

References 42 publications

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“…Identifying traffic noise levels is vital for noise control policies (Huang et al, 2018). Collecting traffic noise levels everywhere is not a possible task in urban cities (Ridzuan et al, 2024). Therefore, calculating traffic noise levels for designed noise observation points in two-dimensional (2D) space by a proper noise equation and spatial interpolation is prime to visualise traffic noise (Mishra et al, 2018).…”

Section: Road Traffic Noise Visualisationmentioning

confidence: 99%

Performance Assessment of Spatial Interpolations for Traffic Noise Mapping on Undulating and Level Terrain

Wickramathilaka,

Ujang,

Azri

et al. 2024

Geodesy and Cartography

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Traffic noise mapping frequently employs Kriging, Inverse Distance Weighted (IDW), and Triangular Irregular Networks (TIN) spatial interpolations. This study uses the Henk de Kluijver noise model to evaluate the performance of spatial interpolations. Effective traffic noise mapping requires that noise observation points (Nops) be designed as 2 m grids. The upper and lower slopes function as noise barriers to reduce sound levels. Therefore, assessment of accuracy is essential for visualising noise levels in undulating and level terrain. In addition, this work gives an accurate comparison of traffic noise interpolation in undulating areas. The elements of spatial interpolations, such as the weighting factor, variogram, radius, and number of points influence the interpolation accuracy. The Kriging with a Gaussian variogram, where the radius is 5 m and the number of points is 12 demonstrates the highest level of precision. However, there is no direct relationship between accuracy validation and cross-validation. In cross-validation, however, the accuracy of the Gaussian variogram with a 7 m radius and 18 points is more accurate. In addition, this study demonstrates that Kriging is superior for extrapolating noise levels in undulating regions. Accurate visualising traffic noise levels requires a prior understanding of spatial interpolations.

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Section: Road Traffic Noise Visualisationmentioning

confidence: 99%

Performance Assessment of Spatial Interpolations for Traffic Noise Mapping on Undulating and Level Terrain

Wickramathilaka,

Ujang,

Azri

et al. 2024

Geodesy and Cartography

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“…Dalam penelitian [3], Membuat model bangunan 3D untuk menghasilkan representasi geometri yang optimal, dapat digunakan pemodelan bangunan yang tidak terlalu rumit dengan informasi yang lebih sedikit, yaitu pemodelan dalam standar CityGML. Standar CityGML ini sangat mendukung proses rendering geometris di lingkungan CFD.…”

Section: A Pendahuluanunclassified

Pemodelan Simulasi Aliran Udara terhadap Bangunan 3d Berbasis CityGML dan Computational Fluid Dynamics

Utami,

Suhari,

Ujang

et al. 2023

ijcs

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Lingkungan di wilayah kota Malang mengalami pertumbuhan permukiman yang semakin padat serta tata kota semakin tak teratur, sehingga menyebabkan suhu menjadi panas dan warga menjadi tidak nyaman. Angin adalah pergerakan udara yang terjadi karena adanya tekanan udara dari tekanan tinggi ke tekanan rendah. Untuk mengetahui pergerakan aliran udara tersebut, pada penelitian ini dibuat suatu bentuk pemodelan simulasi aliran udara CFD dengan menggunakan Ansys dan bentuk pemodelan 3D CityGML pada LoD 2. Pembuatan simulasi aliran udara ini menggunakan data angin yang diperoleh dari BMKG dan dianalisa untuk membandingkan nilai RMSE dengan data observasi lapangan yang didapatkan dengan menggunakan 2 alat hand anemometer digital. Hasil simulasi aliran udara menunjukkan pengaruh model 3D LOD2 terhadap aliran angin berupa perubahan arah dan kecepatan.

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“…A common implementation of the Computational Fluid Dynamics (CFD) technique to simulate wind flow digitally can be executed [6][7][8][9]. However, the IOP Publishing doi:10.1088/1755-1315/1274/1/012010 2 embedded building model in the simulation environment does not meet specific building modelling standards [10]. As for this research, building models are included in the city building modelling standard to fill in the gap.…”

Section: Introductionmentioning

confidence: 99%

Investigating the influence of 3D building models on pedestrian wind comfort through wind computational fluid dynamics analysis

Ridzuan,

Ujang

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Wind flow plays a crucial role in determining pedestrian comfortability in the surrounding environment. However, the shape and detailing of buildings, as well as the angle of the wind, can manipulate the wind flow patterns and velocity. Different urbanized areas have different building shapes and detailing, which can lead to diverse wind flow patterns and velocities, affecting pedestrian wind comfort (PWC). This study utilized wind Computational Fluid Dynamics (CFD) technique to investigate the influence of building models on wind velocity and its impact on PWC. The CFD simulation integrated with a 3D urbanized building model provided wind velocity values throughout the study area, which were used to analyze wind comfort at 1.75m elevation based on Beaufort wind force criteria. The study found that diverse effects due to different building detailing were observed, leading to multiple flow patterns and changes in wind velocity. The downstream building recorded a lower velocity value than the upstream building mainly because of wind flow separation from the building frontal. Wind comfort levels were represented using the Beaufort wind force scale (BWS), and all values fell in level 2 and 3, indicating good wind comfort level because of the BWS ≤ 3. This study highlights the significance of building models in determining wind flow patterns and velocity, which ultimately impacts PWC. Despite the study area involving multiple buildings with different shapes and detailing, the wind comfort levels were found to be suitable for pedestrians.

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Computational Fluid Dynamics of Wind Flow and Air Pollution Modelling: A Review on 3D Building Model Standards

Cited by 6 publications

References 42 publications

Performance Assessment of Spatial Interpolations for Traffic Noise Mapping on Undulating and Level Terrain

Performance Assessment of Spatial Interpolations for Traffic Noise Mapping on Undulating and Level Terrain

Pemodelan Simulasi Aliran Udara terhadap Bangunan 3d Berbasis CityGML dan Computational Fluid Dynamics

Investigating the influence of 3D building models on pedestrian wind comfort through wind computational fluid dynamics analysis

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