POROSITY EFFECT IN THE PREDICTION OF WIND-INDUCED VENTILATION FOR THE TROPICS

@By Abdul Majid Ismail (November 2001)

1.0  Abstract

Naturally ventilated buildings in hot-humid countries require “large openings” for effective cross-flow of air. Prediction of ventilation rates based on the pressure coefficients data established for wind loading calculation requires further correction. Experiments were conducted to investigate and established the required correction factors. The suggested correction factors are based on porosity that is suitable for tropical conditions.

Keywords: Porosity, large opening, pressure coefficient, wind tunnel test.

2.0 Introduction

Prediction of ventilation rates either manually or with the aid of “CFD” is normally based on pressure data acquired from wind tunnel experiments using reduced scale-models [1]. The reduced scale-models used in establishing the pressure coefficients are normally made of solid blocks and are “bluff body” models similar to those used in the structural wind loading calculation.  According to Awbi (1994) [2], the pressure values obtained from this type of experimental method may be slightly overestimated. The reduced scale-models within the range of 1:100 to 1:500 scale factors are too small to cater for any design of openings.  Furthermore, small openings of a large-scale factor cannot possibly be modeled in the boundary layer wind tunnel accurately with a satisfactory similarity in the Reynolds number [3].

In reality, naturally ventilated buildings in hot-humid countries require “large openings” for effective cross-flow of air.  Therefore, if “large openings” are to be considered for the walls of actual buildings, further corrections to the wind pressure data obtained from bluff body models are essential.  Theoretically, large openings may distort the wind data established from solid body models, and this requires further investigation.  The investigation into the effect of the “porosity” of large openings requires very specific experiments using a smaller scaling factor or bigger models.

2.0  Review of the related theory on porosity

Most research that has been carried out deals mainly with the relative porosity of a typical wall for the purpose of structural wind loading calculation [4].  There is no specific research on the effect of porosity in relation to naturally ventilated buildings with large openings that are suitable for the tropics [5]. If there are inlet and outlet openings on the facades of a building, a pressure difference will be developed between them, and theoretically air will flow from the higher-pressure end to the low-pressure end.  The pressure distribution around the building will now be different from that of a solid building, and a new steady state condition will be set. 

In most of the numerical analysis, the sizes of openings are normally expressed as ratios to the floor area or to the wall area.  For the purpose of the present study, the size of opening is expressed as a ratio to the wall area and is known as porosity (Pr).  This is given by:

                        Pr = Aw / At ----------------(i)

Where:  Aw = window area (m2)

                At = wall area including window (m2)

The external pressure field around a building, and the position and size of openings that link the inside and outside, affect the internal pressure of the building [4].  The difference between the external pressure (pe) and internal pressure (pi) will determine the inflow or outflow of wind through the openings.  Consider a building with large openings in the windward face and a small opening in the leeward face (Figure 1.1).  Under steady state conditions, the flow rate (Q) through the opening is proportional to the area of opening (A) and the pressure difference across it.  The flow rate across the opening is given by:

            Q a A (pe - pi)1/2  ---------------------(ii)

Where:  pe = external pressure (Pa)

                pi = internal pressure (Pa)

For orifice flow, equation (ii) can be expressed as:

            Q = Cd Ad {2(pe-pi)/r}1/2------------------(iii)

Where:  Cd = 0.61 (the discharge coefficient)

               Ad = the area of equivalent sharp-edged orifice

 

 

 

 

                                Figure 1.1:  Cross-section of a room.

 

Consider that the air is flowing continuously from the windward opening into the interior and out through the leeward opening.  Applying the flow continuity, the inflow and outflow balance, then:

            å Q = 0

            å {Ad (pe-pi)1/2} = 0

Therefore:

            A1 (p1 - pi)1/2 = A2 (pi - p2)1/2 -------------(iv)

Rearranging:

            (pi - p2) / (p1 - pi) = (A1 / A2)2 ------------(v)

Equation (v) shows that the pressure drop across either face is proportionate to the square of the discharge areas.

Substituting the window area (Aw = Pr At) from Equation (i) into Equation (v):

            (pi - p2) / (p1 - pi) = (Pr1 At1 / Pr2 At2)2

For a building with similar windward and leeward wall areas (At1 = At2), the expression simplifies to:

            (pi - p2) / (p1 - pi) = (Pr1 /  Pr2)2 ----------------------(vi)

             Dp2 / Dp1 = (Pr1 /  Pr2)2  ------------------(vii)

Equation (vii) shows that the pressure drop across either face is proportionate to the square of the porosity.

For a building with similar openings all over its envelope, the value of the porosity does not affect the internal pressure directly; it affects the mean pressure, which indirectly affects the internal pressure.  However, if the area of inlet or outlet is much larger than the opposite wall porosity, the internal pressure will be directly affected by the porosity.  Cook (1990) [4] highlighted that, if the area of a large opening is three times larger than the sum of the distributed porosity of the opposite wall, the internal pressure will rise so that only about 10% of the pressure drop is taken by the wall with the opening, and the remaining 90% will be taken by the opposite wall.  If the large opening is equal in area to the sum of the distributed porosity of the opposite wall, the pressure is shared equally.

4.0 Latest research findings

Very little research has been carried out in the past on the effect of large openings on natural airflow, especially in high-rise buildings.  This is because traditionally high-rise buildings have not been considered for natural ventilation, apart from a few notable exceptions [2].  However, in the last few decades, passive ventilation in commercial and high-rise buildings has been considered seriously.

4.1 Proposed correction factor by Awbi (1994) from Chand et.al (1992)

According to Awbi (1994) [2], the present methods of adopting a similar approach in obtaining the values of pressure coefficients (Cps) from a wind tunnel as used in the structural wind loading experiment need some correction.  The reference wind speed (Vref), which corresponds to the height of the building or the wind tunnel reference height, is given by the power law relationship and the terrain roughness.  For the particular experiment carried out based on the Malaysian condition, the relationship is given by:

                        Vref  / V10 = 1.7 (href / 400)0.28 -------------(vii) {See Appendix}

where:           href = reference height

                        Vref = reference velocity

                        400 = gradient height at 0.28 power law

V10 = meteorological wind speed at height of 10 m above ground   in open country.

The speed V10 is mean wind speed, which is lower than the velocity used for structural design.  According to Awbi (1994) [2], the reference wind speed obtained from the above correlation may be overestimated due to the distortion of the wind flow by the building.  He refers to the work carried by Chand et al. (1992) [5] which shows the correlation for cross-ventilation through two opposite openings as:

                        Vi / Vref = F (1 - 0.82 a) -------------(viii)

where:  Vi = the corrected wind speed at the inlet opening

               a = the terrain exponent.

For rectangular openings, the correction factor (F) is given by:

            F = 1.1 {1 + (Ai / Ao)2}-0.5 -----------------(ix)

where:  Ai = area of inlet.

              Ao = area of outlet.

Chand et al. (1992) [5] carried out an investigation to develop the empirical relationship between the rates of airflow through buildings and the power law exponent for different types of terrain.  He used wind tunnel measurements for wind profiles representing open country, suburban and urban terrain.  The investigations were carried out using a model of a room 4.2 x 3.6 x 3 m high at a 1:30 scale factor.  Identical openings of 15% of the floor areas on the longer walls were used in the experiments. The sill heights were kept at 0.9 m and the window height at 1.1 m, which were established to be the optimum dimensions from his earlier findings.

The equivalent ratio of window opening to the wall area of the model used by Chand can be calculated as follows:

            The actual window area Aw = 15% of (4.2 x 3.6) = 2.268 m2

            The longer wall area At = 4.2 x 3.0 = 12.6 m2

Therefore:

            The porosity Pr = Aw / At = (2.268 / 12.6) x 100 = 18%.

The porosity of the model used by Chand is 18%.  Hence, it is beneficial to investigate the relationship of Chands’ findings for other porosity values.  According to Chand (1992) [5], the constant F in the Equation (viii) takes into account the effect of the shapes and the relative sizes of openings.  The approximate value of F for different shapes and sizes of opening, which is obtained from Equation (ix), could also be determined experimentally by measuring the values of (Vi) and (Vref).

Arising from the above remark, further investigation of the findings of Chand et al. (1992) [5] and the proposal by Awbi (1994) [2] is appropriate.  The investigation includes the effect of varying the sizes of openings on the velocity ratio (Vi/Vref) of a specific experimental condition.  This covers the porosity effect which is appropriate to the research on the wind flow especially in high-rise buildings favourable to the Malaysian conditions.  The essential correction to the pressure values could then be made.  Consequently, prediction of the wind-driven ventilation rates could be carried out using the new corrected pressure values.

4.0 Further investigation and wind tunnel test

Investigation into the effect of porosity on the pressure values was carried out in wind tunnel.  The inflow velocity (Vi) at the windward opening was measured using the Laser Doppler Anemometer, while the reference velocity (Vref) was measured using the reference static “pitot” probe which is located at about 800 mm above the tunnel floor.  The experiments required a larger model of a typical floor to be established in an Atmospheric Boundary layer (ABL) of 0.28 power law.

4.1 The scale models and experimental setup

4.1.1.  The scale models

A scale model at 1:40 scale factor of a room of a typical floor measuring 10 m x 10 m x 4 m high was constructed from 3/4 cm clear “perspex”.  The typical floor unit was placed over a solid block measuring 10 m x 10 m x 6 m high.  This was intended to disassociate the anemometer readings from any interference of the turbulence effect of the ground roughness.  The windward front and the rear leeward facades of the model were made to be detachable to cater for the variation in window sizes.  Five sets of window openings ranging from the smallest 9% to 45% porosity were made from 10 detachable piece of “perspex”.

Figure 1.2 shows the model of the typical floor and the sizes of openings.  The window sill was fixed at 1.5 m from the base of the unit or 1.0 m clear above the floor level.  The variation to the window height was made to include the 2 m (50 mm actual dimension) maximum height of opening and the 0.4 m (10 mm actual dimension) minimum height.  The widths of the openings were maintained at 9 m with an equal distance of 0.5 m from the corner wall.

 

 

 

 

 

 

 

 

Figure 1.2:  Model of the typical office floor and the variations in porosity values

4.1.2.  The Laser Doppler Anemometer.

The Laser Doppler Anemometer (LDA) is a non-contact optical instrument for investigating flow fields in gases and liquids [7].  The anemometer, which was used in the velocity measurements, is an integrated laser-optics system type. The advantage of the LDA system is that it uses no probe at the measuring point, and therefore no disturbance to the flow occurs.  Furthermore, the device can be used in an area that is inaccessible by a normal anemometer.  The system is made up of three main components [8]:

1.    The integrated laser-optics unit, which comprises a laser and a probe connected by a fibre optic cable to the unit.  The optic unit is then linked to a velocity analyser (FVA) and “FLOware” software on a computer.

2.    The Flow Velocity Analyser (FVA) which has special detection and validation techniques that can measure signals and detects velocity direction quite accurately.

3.    The “FLOware” that is an application programme for (LDA) measurements performed with a “Dantec” Flow Velocity analyser (FVA).  The software will be used to analyse signals obtained by the laser probe.

4.1.3.  The experimental procedure.

The experiment was carried out using basic scale-model as shown in Figure 1.2 to investigate only the effect of simultaneous variation of identical size inlet and outlet openings (identical porosity rate).

The model was placed at the centre of the turntable with the opening normal to the wind direction.  The measuring point of the inward velocity (Vi) was at the centre point of the windward window (Figure 1.3).  The model, which was made from clear “perspex”, was transparent enough for the laser beams to pass through.  Smoke was passed through the tunnel to generate seedling.  Measurement of (Vi) was carried out by focusing the laser beams on to the measuring point and observing the frequency shift of the light scattered by moving particles [1].  Figure 1.3 shows the set-up of the measuring point and the relative positioning of the laser beams.  Two data loggers for measurement of (Vi) and (Vref) were set-up close to the tunnel window.

 

 

 

 

 

 

 

 

Figure 1.3:  The set-up of the measuring point and the relative positioning of the coherent laser beams.

The optics units were set at the differential or fringe mode where two coherent laser beams intersect and interfere in the volume of intersection, thus forming interference fringes [9].  The photo-detector measures the difference between the two Doppler-shifted scattered beams.  The Doppler frequency, fD, is given by [8]:

                        fD = (2ux / l ) Sin ( q /2)

Where:

             ux = the particle velocity component in the x directions (normal to laser beam)

                    (m/s)

             l = wavelength of the laser beam (m)

             q = angle between the incident beams (deg).

The LDA system work is based on the shift in the light frequency produced by moving particles passing through the fringe, and these require the flow to be seeded with particles.  Smoke particles were used in the tracking of the flow by the laser detector.  The electrical signals of the frequency change detected by the optic units were sent to the FVA and to the computer output as histogram, means and rms. values and turbulence intensity.

The corresponding reference velocity (Vref) for each set of (Vi) readings was taken from the static pitot probe located at 0.8 m above the tunnel floor.  This reference static pressure probe was connected to the electrical manometer which converted the mechanical into an electrical signal and into the data logger.  The readings of both (Vi) and (Vref) were taken simultaneously for every set of experimental input.  The wind tunnel speeds were retained high with the fan varying from about 8 - 11 m/s.  This was to avoid any laminar flow developed through the window openings.

4.2 Experimental results and analysis

 

Wind flow through the windward and leeward openings of four different porosity values (9%, 18%, 27%, 36% & 45%) were subjected to five different fan speeds (of 75, 80, 85, 90 & 95).  Six mean readings of (Vi) and (Vref) for every set of porosity values were recorded.  The pressure value of the reference pressure in (cm of water) was converted into Pascal (Pa) by multiplying each value by 98.067 (1 cm. of water = 98.0665 Pa).  The pressure value was then converted into the relative velocity values using the relationship:

 

                        V = (2 p / r)0.5

                        Vref = {2 x (pref x 98.067) / 1.225}0.5.

 

The reference velocity at the height of the building was obtained from the power law formula:

 

                        Vref250 = Vref (250 / 800)0.28

 

Where 250 mm was the height of the model and 800 mm was the tunnel reference height.

The results of the experiment were analysed and summerised graphically in the following figures:

 

                Figure 1.4(a):  Variation of (Vi ) with fan speed for different porosity values.

Figure 1.4(b):  Variation of the velocity ratio (Vi / Vref ) with fan speed for different porosity values.

 

Figure 1.4(c):  Effect of porosity on the velocity ratio (Vi / Vref ) for different porosity values.

From the analysis carried out on the data collected from experiment, the findings may be summarised as follows:

1.    For simple rectangular cross-openings (inlet and outlet of identical size), the inflow velocity at the inlet opening (Vi) increases linearly with the increase in the external wind speed {Figure 1.4(a)}.

2.    Except for the £ 9% porosity opening, the larger the inlet opening or the higher the porosity value of the inlet, the greater will be the inflow velocity (Vi) at the inlet opening {Figure 1.4(a)}.

3.    Except for the £ 9% porosity opening, the velocity ratio (Vi / Vref) is almost constant and independent of external wind speed, provided the Reynolds number is maintained within the turbulence flow limit {Figure 1.4 (b)}.

4.    The velocity ratio (Vi / Vref) is not constant but varies with different sizes of cross openings or porosity values {Figure 1.4 (c)}.  The mean value of the velocity ratio for different porosity values is summarised in Table 1.1 and shown in Figure 1.4(d) below.

                        Table 1.1:  Mean velocity ratio for various porosity values

% POROSITY

MEAN Vi / Vref

9%

0.69

18%

0.64

27%

0.66

36%

0.72

45%

0.81

 

            Figure 1.4(d):  Mean velocity ratio (Vi / Vref ) for different porosity values.

4.2.1  Compatibility with Chands’ (1992) findings and the suggestion by Awbi (1994)

Chand et.al. (1992) [5] developed a relationship for cross-ventilation through two identical inlet and outlet openings for different types of terrain, and arrived at the Equation (viii).  The correction factor (F) is given by the relationship in Equation (ix).  Solving for F in the case of identical openings:

            F = 1.1 {1 + Ai / Ao)2}-0.5

               = 1.1 {1 + (1)2}-0.5  = 0.78

Substituting (F = 0.78) into Equation (vii):

Vi / Vref = F (1 - 0.82 a )

                         = 0.78 (1 - 0.82 a )

The power law exponent a simulated in the wind tunnel is 0.28:

Therefore:

            Vi / Vref = 0.78 {1 - (0.82 x 0.28)}

                         = 0.78 {1 - 0.23} = 0.78 {0.77} = 0.60

The porosity of the model used by Chand et.al. (1992) is 18%.  The value of the velocity ratio (Vi / Vref) for the 18% porosity deduced from the wind tunnel test (Experiment 1) as shown in Table 1.1 is 0.64.  The value is relatively close to the calculated value derived using Chands’ Formula that is 0.6.  However, the experiment reveals that the relationship of the velocity ratio derived using the above formula does not hold for porosity values other than 18%.  Table 1.1 and Figure 1.5(d) show the actual values of velocity ratios acquired from the wind tunnel experiment.

4.2.2 Effect of porosity on the pressure values obtained from “bluff body” models

The pressure values used in normal calculation were derived from the wind tunnel pressure coefficient (Cp) by multiplying each value with a constant multiplier, 0.24.  This constant value of 0.24 is obtained by considering the mean Malaysian meteorological wind speed of 1.5 m/s.  The present findings (Table 1.1) and the proposal by Awbi (1994) [2] cause corrections to be made in order to anticipate different sizes of openings or porosity values.  It must be appreciated the actual size of window openings in the tropics varies within the optimum range of 18% to 45% porosity.  The new corrected pressure values for the above range of porosity values can be calculated as follows.

(i) New corrected pressure values (pwm’) for 18% porosity:

The relationship between the wind induced pressures and pressure coefficients with the porosity effect excluded is given by:

            pwm = 0.5 Cp x 1.225 x Vref2 = Cp x 0.613 x 1.982 {Appendix}

            pwm = 2.4 Cp

Where:

            pwm = wind induced pressures for the Malaysian condition (porosity effect          excluded)

            Vref    = relative velocity at reference height (= 1.98 m/s)

The new corrected reference velocity relative to the mean meteorological wind speed of 1.5 m/s can be calculated from the relationship:

            Vi / Vref = 0.64  (from Table 1.1)

Therefore:

              Vref = Vi / 0.64 --------------(x)

From Equation (vii) and the power law relationship

            Vref  / V10 = 1.7 (href / 400)0.28

For the scale factor of 1:200 & href is 160 m.

Therefore:

            Vref = 1.32 V10 -------------(xi)

Substituting Vref  in Eqn.(x) into Eqn. (xi)

            Vi / 0.64 = 1.32 V10

                      Vi = 0.64 x 1.32 x 1.5 = 1.26 m/s

The new corrected inflow velocity relative to the meteorological mean wind speed of 1.5 m/s is 1.26 m/s

Using Vi = 1.26 m/s as the new corrected reference velocity, the new corrected pressure value for 18% porosity is given by:

            pwm’ = Cp x 0.613 x 1.262 = 0.97 Cp

where pwm’ is the new corrected wind induced pressure for 18% porosity.

The ratio of the corrected pressure value to the actual pressure value is given by:

            pwm’ / pwm = 0.97 / 2.4 = 0.4

                      pwm’  = 0.4 pwm

Where:

            pwm = the actual wind induced pressure values (porosity effect excluded)

            pwm’ = the new corrected pressure values for 18% porosity

Therefore, the new corrected pressure value for 18% porosity is reduced to about 40% of the actual pressure value obtained from “bluff body” models.

(ii) Corrected pressure values for 27% porosity:

 

            Vref = Vi / 0.66 (From Table 1.1)

            Vref = 1.32 V10 {From Equation (xi)}

               Vi = 1.32 x 1.5 x 0.66 = 1.3 m/s

Therefore:

            pwm’ = Cp x 0.613 x 1.32 = 1.04 Cp

The ratio of the corrected pressure value to the actual pressure value is given by:

            pwm’ / pwm = 1.04 / 2.4 = 0.43

            pwm’  = 0.43 pwm

 

Therefore, the new corrected pressure value for 27% porosity is reduced to about 43% of the actual pressure value obtained from “bluff body” models.

 

(iii) Corrected pressure values for 36% porosity:

 

            Vref = Vi / 0.72 (From Table 1.1)

            Vref = 1.32 V10 {From Equation (xi)}

               Vi = 1.32 x 1.5 x 0.72 = 1.43 m/s

Therefore;

            pwm’ = Cp x 0.613 x 1.432 = 1.25 Cp

The ratio of the corrected pressure value to the actual pressure value is given by:

            pwm’ / pwm = 1.25 / 2.4 = 0.52

                        pwm’  = 0.52 pwm

 

Therefore, the new corrected pressure value for 36% porosity is reduced to about 52% of the actual pressure value obtained from “bluff body” models.

 

(iv) Corrected pressure values for 45% porosity:

 

            Vref = Vi / 0.81 (From Table 1.1)

            Vref = 1.32 V10 {From Equation (xi)}

               Vi = 1.32 x 1.5 x 0.81 = 1.6 m/s

Therefore:

            pwm’ = Cp x 0.613 x 1.62 = 1.6 Cp

The ratio of the corrected pressure value to the actual pressure value is given by:

            pwm’ / pwm = 1.6 / 2.4 = 0.67

                        pwm’  = 0.67 pwm

Therefore, the new corrected pressure value for 45% porosity is reduced to about 67% of the actual pressure value obtained from “bluff body” models.

The correction factors for the related porosity values are shown in Table 1.2.  These values are essential to convert the pressure coefficients and pressure values obtained from the “bluff body models.  The factors are applicable only to simple identical rectangular inlet and outlet cross-flow openings.

Table 1.2:  Correction factor for different porosity values

 

% POROSITY

Correction factors of pwm’  derived from Cp

Correction factors of

 pwm’ derived from pwm

18%

0.97 Cp

0.40 pwm

27%

1.04 Cp

0.43 pwm

36%

1.25 Cp

0.52 pwm

45%

1.60 Cp

0.67 pwm

5.0 Conclusion

From the experiments on scale-models of a typical office floor in the “large openings” category it can be concluded that:

The pressure values obtained from “bluff body” models tests in the wind tunnel are useful for general wind flow studies.

The “bluff body” models have to be used in the wind tunnel experiments for high-rise buildings in order to satisfy the large scale factor.  This is because at this scale factor openings for the whole building cannot be modelled accurately.

However, substantial corrections have to be made to the pressure values obtained from “bluff body” models if the category of “large openings” is to be considered.

For identical rectangular cross-openings, the pressure at the opening is effectively reduced from about 40% to 67% of the bluff body values for an opening area of about 18% to 45%.  The reduction in pressure also increases for an opening of less than 18%.

This means that the flow rates are reduced from about 37% for opening area of about 18% to 18% for opening area of about 45% compared with “bluff body” values.

A porosity correction factor can be applied to “bluff body” measurement to produce more accurate Cps for openings area of more than 9% of the wall area.

6.0 References

1.    Awbi H.B.  Ventilation of Buildings, Chapman and Hall, London, 1991.

2.    Awbi H.B.  Design consideration for naturally ventilated buildings”, Renewable Energy, Elsevier Science Ltd., Vol. 5, pp. 1081-1090, 1994.

3.    Etheridge D.W.  Crack flow equations and scale effect”, Building and Environment, Vol. 12, pp.181-189, 1977.

4.    Cook N.J.  The Designer’s Guide to Wind Loading of Building Structures, Part 2: Static Structures, Building Research Establishment Report, 1990.

5.    Chand, Ishwar et.al.  Studies of effect of mean wind speed profile on the rate of air flow through cross-ventilated enclosures”, Architectural Science Review, Vol. 35, pp.83-88, 1992.

6.    Lawson T.  A J Handbook: Building Environment, Section 3: Air Movement and Natural Ventilation, The Architects’ Journal Information Library, 27 November 1968.

7.    Durst, F.  Principles and Practise of Laser-Doppler Anemometry, 2nd. Ed., Academic Press Inc. (London) Ltd., 1981.

8.    FLOlite Reference Guide, Dantec Measurement Technology, 1993.

9.    FLOware Installation and User Guide, Dantec Measurement Technology, 1993.

 

 

Appendix:

 

Establishing the actual wind pressure on the building

The wind speed varies with height according to the power law, and the relationship is given by the following formula and the profiles shown in Figure 5.13:

            Vz / Vg = {z / zg}a  ----------------(i)

            where Vz = speed at height z

                        Vg = speed at height zg (the gradient height) at the top of the

                                boundary layer, above which the speed is assumed constant.

                        a = a number that depends on the roughness terrain.

 

 

 

 

 

 

 

 

 

            Figure 5.13:  Velocity profiles over terrain simulated in the wind tunnel

The Malaysian condition:

It is assumed that winds are blowing from the open Malaysian meteorological site of terrain roughness a = 0.16 to a town area of roughness a = 0.28.

At the meteorological site, the a = 0.16 power law is appropriate, and the speed at gradient height of 275 m will exceed the 10 m (standard meteorological height) speed by a factor calculated as:

                        Vg /V10 = {275/10}0.16

            Therefore Vg = 1.7 V10 ---------------------(ii)

In the wind tunnel simulation:

A 0.28 power law profile for a town area was simulated in the wind tunnel.  Using a similar power law relationship, the free wind speed at height (H) in the tunnel VH is given by:

                        VH / Vg = {H / 400}0.28

            Therefore VH = Vg {H / 400}0.28 -------------(iii)

The speed at gradient height is equal for both power laws, substituting the value of Vg from equation (ii) into equation (iii):

                         VH = 1.7 V10 (H / 400) 0.28 --------------(iv)

For the part depth simulation, H is the reference height where the reference dynamic pressure (pref) is associated with the reference velocity (Vref).

Therefore, in this case:

                        VH = Vref.

The appropriate values for computing the ventilation rates are the mean pressure (time-average) values [8].  The time-average surface pressure is proportional to the wind velocity pressure (pw) in Pa given by Bernoulli’s equation:

            pw = Cp x 0.5r Vref2 --------------(v)

Where Cp = pressure coefficient  

            r= density of air (1.225 kg/m3)

The pressure coefficient (Cp ) is determined by the wind tunnel test as:

                        Cp = p1 /pref

            where p1  = surface pressure on the model over the local outdoor atmospheric

                                pressure, obtained from the pressure tapping.

                        pref = reference free wind pressure at height H in the wind tunnel.

Therefore, the actual wind pressure on the building in Malaysia (pwm ) can be calculated from the above and is expressed as:

            pwm = Cp x 0.613 Vref2 --------------(vi)

Equation (vi) will be used to determine the equivalent pressure due to wind at the building surface in Malaysian conditions relative to the reference velocity derived from the data of the mean wind speed obtained from the Malaysian meteorological stations.