Investigation of building height and roof effect on the air velocity and pressure distribution around the detached houses in Turkey

Ayata, Tahir

doi:10.1016/j.applthermaleng.2008.08.018

Cited by 12 publications

(8 citation statements)

References 16 publications

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“…Among these methods, this study uses the Design Flow Rate method due to the applicability of this method for integration with CFD simulations through the coefficients allowing the implementation of CFD results in the building energy simulations. Design Flow Rate method assumes: (6) Where , , and are the values for user-defined schedule, the zone air temperature, and the outside dry-bulb temperature, respectively. Selection of the coefficients, A, B, C, and D require careful consideration and additional effort.…”

Section: Governing Equationsmentioning

confidence: 99%

“…A suggestion to solve this system of equations is to limit the energy and airflow modeling at the neighborhood scale for the simulation of built environments [1]. Existing studies conducted numerical simulations of outdoor airflows using CFD coupled with energy simulation of buildings located in urban neighborhoods [3][4][5][6]. However, due to the complexity in modeling interaction of buildings in neighborhoods, current studies have strict requirements for the full coupling or interactive co-simulation.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying the impact of urban wind sheltering on the building energy consumption

Nikkho

Heidarinejad

Liu

et al. 2017

Applied Thermal Engineering

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Current building energy simulation approaches usually do not take into account the influence of the surrounding urban neighborhood on the energy consumption patterns. This study aims to address this limitation and quantify the impact of an urban neighborhood. Therefore, the current study develops and validates a framework using Computational Fluid Dynamics (CFD) and building energy simulations. The developed framework in this study relies on deriving wind multipliers for eight principal directions to adjust the wind velocity encountering the building of interest. The purpose of these wind multipliers is to adjust wind velocities in the weather data input files for building energy models. To support the developed framework, this study validated the simulated CFD temperatures with on-site measured data as well as compared the simulated heating and electricity consumptions with the metered energy consumptions. A comparison between the building energy simulation results using both the adjusted and original weather data indicates that the total building energy consumption decreased by 5%. Among the heat gain components, the infiltration component had the maximum percentage of reduction with 31% and 29% sensible cooling and heating decrease, respectively. Overall, even though the annual cooling energy demand increased, the energy demand decreased due to the decrease in the heating demand for the studied neighborhood located in the Northeastern USA.

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Section: Governing Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantifying the impact of urban wind sheltering on the building energy consumption

Nikkho

Heidarinejad

Liu

et al. 2017

Applied Thermal Engineering

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“…The geometry of the Cleveland water intake crib is shown in Figure 2. The influence of buildings on their surrounding wind velocity distributions has been previously evaluated using similar CFD techniques (Ayata, 2009). The stacked cubic building shapes resting atop of a vertically oriented right circular cylinder embodied the uniqueness of the water intake crib relative to conventional buildings.…”

Section: Model Set-up and Geometry Simplificationmentioning

confidence: 99%

Computational fluid dynamics modeling of the structural influences on offshore wind measurements at the Cleveland water intake crib in Lake Erie

Corrigan

Matthiesen

2016

Wind Engineering

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Installation of dedicated offshore meteorological tower is very expensive due to the water depth and in some locations, icing conditions. However, many port cities have existing offshore structures such as water intake facilities or historical coastal defense structures that could be utilized as a low-cost alternative for wind resource assessment studies. Such a study was conducted using the city of Cleveland's Water Division water intake facility located 3.5 miles offshore of downtown Cleveland in Lake Erie. Lake Erie is the smallest of the Great Lakes and as such can completely ice over during the winter. The water intake crib was installed in 1904 and has a small building on top of the water intake pipe. In 2005, a meteorological tower was installed on top of this building and has been recording wind measurements at 30, 40, and 50 m above the nominal water level. The influence of this structure on the recorded wind measurements was assessed using a computational fluid dynamics model. The assessment was conducted across the eight cardinal and ordinal directions and evaluated as a function of incoming wind profile. The model assumed a neutral boundary condition and the standard power law equation was used to predict the true mean wind speeds and wind shear coefficients. Input wind profiles with programmed wind shear coefficients of 0.0, 0.1, and 0.2 were found to be reduced above the crib structure and resulted in wind shear coefficients of −0.07, 0.05, and 0.17, respectively, at the locations of the cup anemometer measurements. This reduction of wind shear coefficient values was found to be caused by an increase in the wind speed above the building, which affected the lower height measurements more than the upper height measurements. The relationship between the known programmed wind shear coefficients and the lower resultant wind shear coefficients predicted from the computational fluid dynamics model was then used to adjust the experimental measurements to correct historical data. The corrected mean wind speeds occurring during a 2-year period beginning in October 2005 at 30, 40, and 50 m are 6.79, 7.02, and 7.16 m s −1 , respectively, as compared to the previously reported values of 7.14, 7.25, and 7.34 at 30, 40, and 50 m, respectively. These values represented the wind speeds which would have been measured using an isolated 50 m meteorological mast positioned directly on the water's surface rather than atop the offshore water intake building. The wind shear coefficient averaged over the corrected wind speeds was 0.1038 as compared to the previously reported value of 0.0541.

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“…As the concentration of high buildings in urban areas affects local climate, it is an important element of urban fabric and required for building classifications [40,46,47]. It affects many factors of the urban environment such as the local temperature [48][49][50], shadows cast over nearby areas, microclimate change and urban heat islands [51][52][53][54], wind speed and orientation [55], energy exchange in urban areas [56], urban crime [57], mobile phone signal propagation loss [58], and urban renewal and planning [59]. However, studies on the spatial distribution patterns of building height remain relatively scarce [59].…”

Section: Introductionmentioning

confidence: 99%

Spatial Analysis Using Temporal Point Clouds in Advanced GIS: Methods for Ground Elevation Extraction in Slant Areas and Building Classifications

Shirowzhan

Sepasgozar

2019

IJGI

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Deriving 3D urban development patterns is necessary for urban planners to control the future directions of 3D urban growth considering the availability of infrastructure or being prepared for fundamental infrastructure. Urban metrics have been used so far for quantification of landscape and land-use change. However, these studies focus on the horizontal development of urban form. Therefore, questions remain about 3D growth patterns. Both 3D data and appropriate 3D metrics are fundamentally required for vertical development pattern extraction. Airborne light detection and ranging (Lidar) as an advanced remote-sensing technology provides 3D data required for such studies. Processing of airborne lidar to extract buildings’ heights above a footprint is a major task and current automatic algorithms fail to extract such information on vast urban areas especially in hilly sites. This research focuses on proposing new methods of extraction of ground points in hilly urban areas using autocorrelation-based algorithms. The ground points then would be used for digital elevation model generation and elimination of ground elevation from classified buildings points elevation. Technical novelties in our experimentation lie in choosing a different window direction and also contour lines for the slant area, and applying moving windows and iterating non-ground extraction. The results are validated through calculation of skewness and kurtosis values. The results show that changing the shape of windows and their direction to be narrow long squares parallel to the ground contour lines, respectively, improves the results of classification in slant areas. Four parameters, namely window size, window shape, window direction and cell size are empirically chosen in order to improve initial digital elevation model (DEM) creation, enhancement of the initial DEM, classification of non-ground points and final creation of a normalised digital surface model (NDSM). The results of these enhanced algorithms are robust for generating reliable DEMs and separation of ground and non-ground points in slant urban scenes as evidenced by the results of skewness and kurtosis. Offering the possibility of monitoring urban growth over time with higher accuracy and more reliable information, this work could contribute in drawing the future directions of 3D urban growth for a smarter urban growth in the Smart Cities paradigm.

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Investigation of building height and roof effect on the air velocity and pressure distribution around the detached houses in Turkey

Cited by 12 publications

References 16 publications

Quantifying the impact of urban wind sheltering on the building energy consumption

Quantifying the impact of urban wind sheltering on the building energy consumption

Computational fluid dynamics modeling of the structural influences on offshore wind measurements at the Cleveland water intake crib in Lake Erie

Spatial Analysis Using Temporal Point Clouds in Advanced GIS: Methods for Ground Elevation Extraction in Slant Areas and Building Classifications

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