Document Type : Original Research Paper

Authors

1 Master of Architectural Technology, Department of Construction, Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran.

2 2Associate Professor, Department of Regional and Urban Planning and Design, Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran.

3 Associate Professor, Department of Electrical and Mechanical, Building and Housing Research Center, Tehran, Iran.

4 Associate Professor, Department of Construction, Faculty of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran.

Abstract

Extended Abstract
Objective and Background: The present study analyzes the urban skyline and natural ventilation of land parcels in two urban blocks in Velenjak region of Tehran simultaneously. This study tries to assess the efficiency of the urban blocks not only from the visual aspects– what has been considered by most researchers so far- but also from an environmental perspective. For this purpose, a part of the urban texture in Velenjak region of Tehran is modeled in two patterns, and the airflow with a reference velocity of 4.5 m/s is applied to the models. The models are prepared in two patterns:1. The current status; a situation in which vacant lands have been massed according to existing data and ultimately resulted in a heterogeneous skyline; 2. A pattern in which 4 and 5 story buildings are added to the site, resulting in a homogenous skyline. The modeled area comprises 17 urban blocks and has an area of approximately 483,000 square meters. Wind simulation has been performed by Ansys Fluent Software and k-ε turbulence model, regardless of the atmospheric thermal stratification. Comparing the data obtained from the numerical solutions by Fluent Software to the reference wind tunnel results indicates acceptable accuracy of the selected method.
Methods: The information of the nearest meteorological station to Velenjak region is used to assess the data in this area. The data achieved between 2007 and 2016 show that the wind speed is less than 5 meters per second 93% of the time. Therefore, the reference wind speed in this study is considered to be 4.5 m/s at the height of 10 m. Based on the continuity and the frequency of wind in any direction during the mentioned time, an average for the coefficient of importance is defined for each wind direction (Table 1). In this study, a velocity of 1.7 m/s at the height of 10 m above the ground is considered the criterion for wind stagnation state. The reference for the assignment of this velocity is Beaufort’s table.
Findings: According to equation 1, a velocity of 1 m/s at 1.75 m balance is equal to a velocity of 1.7 m/s at 10 m balance (α= 0.33). Figures 9 to 12 show the absolute wind speed contours at 10 m balance above the ground on two samples for four wind directions. The areas marked with light blue color are areas of air stagnation. In these areas, the rotational airflow motion, also known as a vortex or a sequence, can be seen (Figure 7). The magnitude of the sequence area around the buildings is directly related to the building’s geometry and architecture and the urban fabric formation. Wind speeds in these areas are minimized, and they are prone to the accumulation of pollutants. A point grid with 100×100 points (Figure 8) is considered over the target area at the height of 10 m to compare the sample data and the velocity value at each point. Outdoor points with velocities greater than 1.7 m/s are separated from points with velocities less than 1.7 m/s, and their frequency percentages are calculated. Since the importance of wind blow in each direction varies, a coefficient of importance is applied to the frequency percentage of the points, shown in Table 1. Comparing airflow in two urban patterns with regular and irregular skylines indicates that air stagnation is seen at 29% of time/place in an area with a balanced skyline. However, in the first sample, at about 45% of time/place, the average wind speed at 10 m balance above the ground is recorded as 1.7 m/s, and thus we experience air stagnation phenomenon.
Conclusion: According to the results, considering buildings to cover 60% of the land parcel according to the construction regulations, and given the wind characteristics of the study area and its urban texture pattern, natural ventilation is provided better in 4 and 5 story buildings with a maximum height of 12 and 15 meters for buildings that cover 60% of the land parcel. This is while 7 story buildings are also allowed to cover 60% of the land parcel due to the relatively highly constructed urban blocks. Based on the results, it can be argued that a balanced skyline is more favorable both aesthetically and environmentally, and that creation of tall buildings in residential areas is only recommended when the building has a symbolic value and plays a special role in the region and affects the skyline.

Keywords

AIJ (Architectural Institute of Japan) (2016). AIJ Benchmarks for Validation of CFD Simulations Applied to Pedestrian Wind Environment around Buildings.
ASCE (1999). Wind Tunnel Studies of Buildings and Structures, American Society of Civil Engineer.
ASCE (2011). Urban aerodynamics : wind engineering for urban planners and designers, American Society of Civil Engineers.
Blocken B, Janssen WD, Hooff T Van (2012). CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus, Environmental Modelling & Software, Vol. 30, pp. 15-34.
Heist DK, Brixey LA, Richmond-Bryant J, Bowker GE, Perryb SG, Wiener RW (2009). The effect of a tall tower on flow and dispersion through a model urban neighborhood, Environmental Monitoring, Vol. 11.
Carpentieri M, Robins A (2015). Influence of urban morphology on air flow over building arrays, Wind Engineering and Industrial Aerodynamics, Vol. 145.
COST (European Corporation in Science & technology) (2007). Best practice guideline for the CFD simulation of flows in the urban environment.
Cowan R (2005). The Dictionary of Urbanism, Streetwise Press.
Cullen G (1961). The concise townscape, Taylor and Francis group.
Hagishima A, Tanimoto J, Nagayama K, Meno Sh (2009). Aerodynamic parameters of regular arrays of rectangular blocks with various geometries, Boundary Layer Meteorol, Vol. 132, pp. 315–337.
Liu ChH, Leung DYC, Barth MC (2005). On the prediction of air and pollutant exchange rates in street canyons of different aspect ratios using large-eddy simulation, Atmospheric Environment, Vol. 39.
Janssen W, Blocken B, Van Hooff T, Wurtz E (2013). Use of CFD simulations to improve the pedestrian wind comfort around a high-rise building in a complex urban area, 13th Conference of International Building Performance Simulation Association, France.
Mehdizadeh J (2007). Aesthetics in urban design, Jostar Urban Mag, No. 17, pp. 8-27.
Naderi M, Roshani M, Abasian M, Torbatian S, Shahbazi H.(2016). Tehran weather report.
Ratcliff MA, Peterka JA (1990). Comparison of pedestrian wind acceptability criteria,Wind Engineering and Industrial Aerodynamics, Vol. 36, pp. 791-800.
Reiter S (2008). Validation Process for CFD Simulations of Wind Around Buildings, European Built Environment CAE Confrence.
Royal Society of Chemistry (2009). Air Quality in Urban Environments.
Salari M (2014). A look at the patterns of urban planning system with emphasis on urban development plans in Tehran, Avardgah Honar & Andisheh, Tehran.
Adinoyi Ayo S, Gazali NM, Shuhaimi M (2015). Outdoor ventilation performance of various configurations of a layout of two adjacent buildings under isothermal conditions, Building Simulation, Vol. 8, pp. 81-98.
Shojaee Far MH (2012). Introduction to turbulent flows and its modeling, Iran University of Science & Technology.
Siroos Sabri R (2015). Urban Landscape Design. Honare memari Gharn publication publisher, Tehran.
Tohidi A, Ghafari Ghahroodi H (2018). Ansys Fluent Guideline, dibagaran publisher, Tehran.
Tominaga Y, Mochida A, Yoshie R, Kataoka H, Nozu T, Yoshikawa M, Shirasawa T (2008). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings, Wind Engineering and Industrial Aerodynamics, Vol. 96, pp. 1749-1761.
Tominaga Y, Akabayashi Sh-I, Kitahara T, Arinami Y (2015). Air flow around isolated gabled roof buildings with different roof pitches: Wind tunnel experiments and CFD simulations. Building and Environment, Vol. 84, pp. 204-213.
Tudorache T, Kreindler L (2010). Design of a solar tracker system for PV power plants, Acta Polytechnica Hungarica, pp. 23-39.
U.S. Energy Information Administration (2011). Annual Energy Review, Retrieved 2017, Feb. 15, from https://www.eia.gov/totalenergy/data/annual/pdf/sec2.pdf
Weeberb João Réquia Júnior. A spatial multicriteria model for determining air pollution at sample locations, Air & Waste Management Association.
Yuan Chao, Edward Ng (2012). Building porosity for better urban ventilation in high-density cities - A computational parametric study, Building and Environment, Vol. 50, pp. 176-189.