Full Text:   <3205>

Summary:  <2297>

CLC number: TU241; TU98

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2016-04-07

Cited: 0

Clicked: 4816

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Xiao-yu Ying

http://orcid.org/0000-0001-5317-255X

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE A 2016 Vol.17 No.5 P.378-388

http://doi.org/10.1631/jzus.A1600026


Developing planning indicators for outdoor wind environments of high-rise residential buildings


Author(s):  Xiao-yu Ying, Grace Ding, Xiao-jun Hu, Yin-qi Zhang

Affiliation(s):  Department of Architecture, Zhejiang University City College, Hangzhou 310015, China; more

Corresponding email(s):   yingxiaoyu@zucc.edu.cn

Key Words:  Outdoor wind environment, Planning indicators, Building cluster layout, High-rise building


Xiao-yu Ying, Grace Ding, Xiao-jun Hu, Yin-qi Zhang. Developing planning indicators for outdoor wind environments of high-rise residential buildings[J]. Journal of Zhejiang University Science A, 2016, 17(5): 378-388.

@article{title="Developing planning indicators for outdoor wind environments of high-rise residential buildings",
author="Xiao-yu Ying, Grace Ding, Xiao-jun Hu, Yin-qi Zhang",
journal="Journal of Zhejiang University Science A",
volume="17",
number="5",
pages="378-388",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1600026"
}

%0 Journal Article
%T Developing planning indicators for outdoor wind environments of high-rise residential buildings
%A Xiao-yu Ying
%A Grace Ding
%A Xiao-jun Hu
%A Yin-qi Zhang
%J Journal of Zhejiang University SCIENCE A
%V 17
%N 5
%P 378-388
%@ 1673-565X
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1600026

TY - JOUR
T1 - Developing planning indicators for outdoor wind environments of high-rise residential buildings
A1 - Xiao-yu Ying
A1 - Grace Ding
A1 - Xiao-jun Hu
A1 - Yin-qi Zhang
J0 - Journal of Zhejiang University Science A
VL - 17
IS - 5
SP - 378
EP - 388
%@ 1673-565X
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1600026


Abstract: 
The construction of a building may change the microclimate in the vicinity, and planning indicators in a master plan may directly affect the outdoor physical environmental quality in residential areas. An inappropriate plan for a site may accelerate wind and intensify vortexes over places on the pedestrian levels, which leads to an adverse outdoor environment. Therefore, the design of a cluster of buildings should not focus only on the buildings but also provide a good outdoor environment around the buildings. To tackle the problem of inadequate wind environment, the relationship between the building’s floor area ratio and height was identified in this study as the main planning indicator to be examined on its effects on the outdoor wind environment. A computational fluid dynamics (CFD) model was hence developed to simulate the wind conditions generated by some typical site layouts with different values for planning indicators under relevant weather conditions, which were typical of those in Hangzhou, China. The simulated wind conditions are assessed using the wind speed ratio over the whole area of the building cluster at the pedestrian level. The effects on the local wind condition due to the varying of the planning indicators are discussed whilst considering the potential construction costs. The indicators resulting in better external conditions are highlighted in the conclusion as the recommendation which could be used as a rule of thumb by architects and planners at the master planning stage. The study disproves the common belief in the practice that a lower floor area ratio means fewer buildings and therefore greater external comfort. In fact, the higher the building, the greater the outdoor comfort wind zone for pedestrians. However, the increment in comfort area is limited to buildings extending from 25 to 30 levels.

室外风环境视角下的高层住宅项目规划指标研究

目的:确定建筑容积率、建筑密度和建筑层数之间的关系,并将其作为主要的规划指标,研究其对室外风环境的影响。
创新点:在以高层、高密度为特点的城市建设中,一个地块的用地规划指标可直接影响居住区的室外物理环境质量。一个高层建筑群的规划设计不应该只关注建筑物,还应考虑室外物理环境的品质。本研究从室外风环境角度出发,对13种"容积率-建筑密度-建筑层数"指标组合形成的高层建筑群布局进行对比,从而得到可直接服务于城市建设项目的规划策略。
方法:1. 通过确定建筑容积率、建筑密度和建筑层数之间的关系,建立三维高层建筑群布局模型,列出19种可能的指标组合(图2);2. 通过日照模拟分析工具Tarch和建筑消防间距计算筛选出13种符合当前规划要求的指标组合;3. 运用风环境模拟软件Phoenics,对13种指标组合形成的高层建筑群布局进行风环境模拟运算;利用图形分析软件Photoshop CS,计算出舒适风面积比值,并进行相互对比(图3和4);4. 根据土建造价对不同建筑群布局的总造价进行对比(图6)。
结论:在规划设计中,通常认为较低的容积率和较低的建筑高度意味着建筑体量较小,室外物理环境会更好。但是,本研究发现建筑层数越多、建筑高度越高,行人高度的室外舒适风区面积越大。不过,建筑层数从25层升到30层,舒适风区面积增加有限。加之考虑层数越高导致造价越高的因素,当面对容积率为2.0~4.0的高层地块时,不能简单地认为建筑层数最高的规划方案就是最好的方案。

关键词:室外风环境;规划指标;建筑群布局;高层建筑

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Arthur-Hartranft, S.T., Carlson, T.N., Clarke, K.C., 2003. Satellite and ground-based microclimate and hydrologic analyses coupled with a regional urban growth model. Remote Sensing of Environment, 86(3):385-400.

[2]Atkinson, B.W., 2003. Numerical modeling of urban heat-island intensity. Boundary-Layer Meteorology, 109(3):285-310.

[3]Baetke, F., Werner, H., Wengle, H., 1990. Numerical simulation of turbulent flow over surface-mounted obstacles with sharpedges and corners. Journal of Wind Engineering and Industrial Aerodynamics, 35:129-147.

[4]Baskaran, A., Kashef, A., 1996. Investigation of airflow around buildings using computational fluid dynamics. Engineering Structures, 18(11):861-875.

[5]Blocken, B., Stathopoulos, T., Carmeliet, J., 2008. Wind environmental conditions in passages between two long narrow perpendicular buildings. Journal of Aerospace Engineering, 21(4):280-287.

[6]Cao, Q.S., 2014. Technical economy problems of high-level buildings. Zhejiang Construction Cost, 28(3):58-63 (in Chinese).

[7]Chang, C.H., Meroney, R.N., 2003. Concentration and flow distributions in urban street canyons: wind-tunnel and computational data. Journal of Wind Engineering and Industrial Aerodynamics, 91(9):1141-1154.

[8]Chao, Y.K., Zhang, F., Teng, S.H., 2010. Practical Building Design Manual. China Architecture & Building Press, Beijing, China (in Chinese).

[9]Claus, J., Coceal, O., Thomas, T.G., et al., 2012. Wind-direction effects on urban-type flows. Boundary-Layer Meteorology, 142(2):265-287.

[10]Coceal, O., Thomas, T.G., Belcher, E., 2006. Mean flow and turbulence statistics over groups of urban-like cubical obstacles. Boundary-Layer Meteorology, 121(3):491-519.

[11]Coceal, O., Thomas, T.G., Castro, I.P., et al., 2007. Spatial variability of flow statistics within regular building arrays. Boundary-Layer Meteorology, 125(3):537-552.

[12]Cochran, L., Irwin, P., 1999. Microclimate design features for buildings and landscaping. New Orleans Structures Congress, New Orleans, USA, p.1051-1054.

[13]He, P., Katayama, T., Hayashi, T., et al., 1997. Numerical simulation of air flow in a urban area with regularly aligned blocks. Journal of Wind Engineering and Industrial Aerodynamics, 67-68:281-291.

[14]Hu, C.H., Wang, F., 2005. Using a CFD approach for the study of street-level winds in a built-up area. Building and Environment, 40(5):617-631.

[15]Janour, Z., Bezpalcova, K., Sedenkova, H., 2005. Wind tunnel simulations of flow and dispersion over urban area. 4th European and African Conference on Wind Engineering, Prague, Czech. Czech Society for Mechanics, Czech, p.152-153.

[16]Jimenez, B., Rimpl, D., Moennich, K., 2014. Validation and comparison of wind resource models in highly complex terrain. European Wind Energy Association Conference and Exhibition, Barcelona, Spain, p.423-428.

[17]Kono, T., Tamura, T., Ashie, Y., 2010. Numerical investigations of mean winds within canopies of regularly arrayed cubical buildings under neutral stability conditions. Boundary-Layer Meteorology, 134(1):131-155.

[18]Kubota, T., Miura, M., Tominaga, Y., et al., 2008. Wind tunnel tests on the relationship between building density and pedestrian-level wind velocity: development of guidelines for realizing acceptable wind environment in residential neighborhoods. Building and Environment, 43(10):1699-1708.

[19]Li, Z., 2001. Numerical analysis of the wind field on high buildings. Journal of Xi’an Jiaotong University, 35(5):471-474 (in Chinese).

[20]MOHURD (Ministry of Housing and Urban-Rural Development of the People’s Republic of China), 2005. Code for Design of Civil Buildings, GB 50352-2005. MOHURD, Beijing, China (in Chinese).

[21]Murakami, S., 1997. Current status and future trends in computational wind engineering. Journal of Wind Engineering and Industrial Aerodynamics, 67-68:3-34.

[22]Oke, T.R., 1973. City size and the urban heat island. Atmospheric Environment (1967), 7(8):769-779.

[23]Ramechecandane, S., Gravdahl, A.R., 2012. Numerical investigations on wind flow over complex terrain. Wind Engineering, 36(3):273-296.

[24]Stathopoulos, T., 1997. Computational wind engineering: past achievements and future challenges. Journal of Wind Engineering and Industrial Aerodynamics, 67-68:509-532.

[25]Stathopoulos, T., Baskaran, A., 1996. Computer simulation of wind environment conditions around buildings. Engineering Structures, 18(11):876-885.

[26]Voogt, J.A., Oke, T.R., 2003. Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(3):370-384.

[27]Ying, X.Y., Zhu, W., Hokao, K., et al., 2013. Numerical research of layout effect on wind environment around high-rise buildings. Architectural Science Review, 56(4):72-278.

[28]Yoshie, R., Mochida, A., Tominaga, Y., et al., 2007. Cooperative project for CFD prediction of pedestrian wind environment in the Architectural Institute of Japan. Journal of Wind Engineering and Industrial Aerodynamics, 95(9-11):1551-1578.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE