RANS model calibration using stochastic optimization for accuracy improvement of urban airflow CFD modeling

Shirzadi, Mohammadreza; Mirzaei, Parham A.; Tominaga, Yoshihide

doi:10.1016/j.jobe.2020.101756

Cited by 22 publications

(12 citation statements)

References 66 publications

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“…Untuk mengetahui sirkulasi serta pola aliran udara yang dihasilkan oleh AC dan fan di dalam ruangan bisa didapatkan dengan cara mensimulasikan CFD (computational fluid dynamic). CFD sangat relevan digunakan untuk mendapatkan hasil sirkulasi udara, distribusi temperatur dan distribusi tekanan yang terjadi didalam ruangan [6]. Dengan demikian maka penting dilakukan penelitian tentang analisis pola aliran udara dengan penambahan pertukaran udara dengan memvariasikan jumlah exhaust fan.…”

Section: Pendahuluanunclassified

Simulasi CFD Pertukaran Udara di Ruang Tindakan Klinik Kesehatan

Widiarta

Suarda²,

Sucipta³

et al. 2022

METTEK

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Klinik kesehatan merupakan fasilitas pelayanan kesehatan. Klinik kesehatan adalah bangunan yang penuh dengan sumber infeksi, terutama infeksi melalui udara. Pengendalian infeksi virus melalui udara dapat dilakukan dengan kontrol engineering yaitu dengan penambahan sistem ventilasi dan untuk mencapai kenyamanan termal ruangan maka dibutuhkan sistem pengkondisian udara. Penambahan sistem ventilasi mekanis berupa exhaust fan dan inflow membuat adanya sirkulasi udara dimana udara segar dimasukan melalui saluran inflow dan udara kotor dikeluarkan melalui saluran exhaust fan sehingga resiko penularan virus melalui udara dapat diminimalkan. Pola aliran dari sirkulasi udara penting dilakukan analisis karena agen infeksius yang ringan cendrung mengikuti pola aliran. Untuk mengetahui pola aliran dan pengaruh dari jumlah exhaust fan serta sudut flapper AC dilakukan dengan metode simulasi CFD (Computational Fluid Dynamics) serta dilakukan pengujian secara eksperimen yaitu pengukuran tekanan dan temperatur serta kelembaban udara relatif. Variasi sudut flapper AC pada pengujian tanpa penambahan sistem ventilasi memberikan pengaruh terhadap input aliran sehingga titik-titik vortex terjadi pada posisi yang berbeda-beda. Sedangkan sudut flapper AC pada penambahan sistem ventilasi tidak dominan memberikan pengaruh terhadap pembentukan pola aliran. Penambahan inflow dan exhaust fan menunjukan terjadi superposition flow. Sedangkan variasi jumlah exhaust fan menunjukan semakin banyak jumlah exhaust fan maka kecepatan aliran udara diruangan menjadi meningkat dan tekanan udara ruangan menurun serta sirkulasi aliran dalam ruangan menjadi lebih merata. The health clinic is facilities of health service. A health clinic is building fully on the infection source, especially airborne infection. The spread of virus control from the air can perform by engineering control such as added mechanical ventilation system and to reach the thermal comfort, a system of air conditioning is needed. In addition, a mechanical ventilation system that is an exhaust fan dan inflow can create the air circulation where fresh air enters through inflow channels and dirty air goes out through exhaust fan channels, so the risk of airborne infection can be reduced. The airflow pattern from air circulation is important for analysis because infectious agents which are light in weight that tend to follow the airflow pattern. To find out the airflow pattern and influence from variations of the number of exhaust fans as well as the angle of the AC flapper, it is done using the CFD (Computational Fluid Dynamics) simulation method and carried out experimental tests, namely the measurement of pressure and temperature. The angle of the AC flapper tested without added ventilation system influenced the input of stream from AC blower then, the position of vortex had indifference location. While the angle of the AC flapper tested with the additional mechanical ventilation system did not influence airflow pattern formation. Added inflow dan exhaust fan showed the occurrence of the superposition flow. While the more of the number exhaust fans shows, the velocity of air in the room increases and the indoor pressure is decreasing as well as the air circulation in the room becomes more equally.

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Section: Pendahuluanunclassified

Simulasi CFD Pertukaran Udara di Ruang Tindakan Klinik Kesehatan

Widiarta

Suarda²,

Sucipta³

et al. 2022

METTEK

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“…LES is more accurate than the Reynolds-averaged Navier-Stokes (RANS) approach since the large eddies contain most of the turbulent energy. And it can simulate fluctuating turbulence structures [89,90] . At the same time, other building parameters affecting the wind pressure on roof overhangs should be investigated, such as roof shape, roof slope and eaves geometry.…”

Section: Influences Of Overhanging Eaves On Wind Pressurementioning

confidence: 99%

Wind pressure acting on greenhouses: A review

Nan¹,

Wang²,

Bai³

et al. 2021

International Journal of Agricultural and Biological Engineering

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Greenhouses are widely used in agricultural and horticultural production. With the characteristics of lightweight, small stiffness and high flexibility, greenhouses are sensitive to wind loads. In the calculation of wind loads, the wind pressure coefficient (Cp) is essential. The rationality of the value directly affects the safety and economy of greenhouses. Therefore, the Cp values estimation is one of the most important issues in the design of greenhouses. In order to make full use of the existing research results, in this study, three main methods for estimating Cp values were analyzed, namely, full-scale field experiment, wind tunnel experiment and numerical simulation. Five factors influencing the Cp values were then reviewed including greenhouse design parameters, greenhouse group, overhanging eaves, ventilation and wind direction. Based on the existing researches, suggestions for future development and research work were also put forward. Owing to the flexibility and deformability of greenhouses, the fluid-solid coupling method should be used to analyze the effects of vibrations on wind pressures. The interaction of building parameters (such as the number of spans, ridge height, roof shape and slope angle) and terrain around the greenhouse should be taken into consideration comprehensively. The destructive vortices occurred on the greenhouse should be further investigated.

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“… The dataset can be used as a benchmark for accuracy assessment of different CFD settings, including grid resolution, turbulence models, numerical schemes, steady-state or transient analysis [2] , [3] , [4] . The dataset can be utilized as a high-quality source for calibration of the closure coefficients of turbulence models [5] , [6] , [7] . …”

Section: Value Of the Datamentioning

confidence: 99%

“…The dataset can be utilized as a high-quality source for calibration of the closure coefficients of turbulence models [5] , [6] , [7] .…”

Section: Value Of the Datamentioning

confidence: 99%

Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building

Tominaga

Shirzadi

2021

Data in Brief

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This paper presents a high tempo-spatial resolution dataset of the three-dimensional (3D) turbulent flow over a group of generic buildings with and without a high-rise building measured in an atmospheric boundary layer wind tunnel. This dataset is the basis of the study reported in the research article entitled “Wind tunnel measurement of three-dimensional turbulent flow structures around a building group: Impact of high-rise buildings on pedestrian wind environment” by Tominaga and Shirzadi (2021), which investigates the effect of a high-rise building on the pedestrian wind environment formed around the surrounding buildings and its interaction mechanism with the street flow at the pedestrian height. The instantaneous velocity vectors over a vertical central plane and a horizontal plane and the time-averaged surface pressure over the central building were measured for two cases consisting of a low-rise (Case 1H) and high-rise (Case 3H) buildings, which are in the center of a group of eight low-rise cubic buildings at a regular arrangement with an urban planar area density of 0.25. Data acquisition procedure and measurements details are explained in this paper. Time-averaged values of three velocity components and surface pressure coefficients, and turbulent statistics, i.e. turbulent kinetic energy and normal component of the Reynolds stresses are presented. Furthermore, the time-averaged two-dimensional (2D) velocity magnitude over the pedestrian height are presented for evaluating the gust factor. The presented database is useful for the validation of computational fluid dynamics (CFD) models and turbulent model developments for urban and building-related studies.

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RANS model calibration using stochastic optimization for accuracy improvement of urban airflow CFD modeling

Cited by 22 publications

References 66 publications

Simulasi CFD Pertukaran Udara di Ruang Tindakan Klinik Kesehatan

Simulasi CFD Pertukaran Udara di Ruang Tindakan Klinik Kesehatan

Wind pressure acting on greenhouses: A review

Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building

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