the effects of orientations on the room's thermal performance in the tropics
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8/10/2019 The Effects of Orientations on the Room's Thermal Performance in the Tropics
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The Effects of Orientations on the Room's Thermal Performance in theTropics
Leng Pau Chung1, a, Mohd Hamdan Ahmad2,b Dilshan Remaz Ossen1,c
Malsiah Binti Hamid1,d Mohammad Baharvand1,e 1Department of Architecture, Faculty of Built Environment, Universiti Teknologi Malaysia, Johor
Bahru, Johor Malaysia2Institute Sultan Iskandar of Urban Habitat and Highrise, Level 4, Dewan Sultan Iskandar,
Universiti Teknologi Malaysia, Johor Bahru, Johor Malaysiaa [email protected] ,
Keywords: orientation, natural ventilation, thermal performance, windows
Abstract. Thermal performance of terrace house in Malaysia very much depends on the spatialdesign due to limited responsive environment factors. Building orientation is one of the important
responsive factors under design consideration. The main concerns of the opening’s orientation are
solar radiation and wind. In Malaysia, the maximum amount of solar radiation directly affects the
thermal performance and thus the orientation of the window should be designed in the way to
minimize solar gain and maximize natural ventilation. This paper investigates the effect of building
orientation on the thermal performance of the residential room with solar chimney. The case study
house facing north was located at Kuching, Sarawak, Malaysia. The field measurement was
conducted in the case study house compound on 16 may 2012 to obtain the boundaries condition for
CFD (Computational Fluid Dynamic) simulation. Four cardinal orientations were selected to
investigate the thermal performance via CFD in DesignBuilder. The results show that the south
facing window could maintain the lowest air temperature in the indoor environment with mean air
temperature of 31.78°C and air mean velocity 0.023m/s with 35°C extreme outdoor temperature and
zero wind velocity.
Introduction. Sustainability becomes the trend of the building industry development over the
concerns of global warming in recent years. As one of the main contributors of the carbon footprint
in global context, building industry has the great responsibility to reduce the emission of the
greenhouse gases [1]. In Malaysia, housing considered as the major contributor of carbon emission
and energy user, which contribute 30% of the total due to the critical dependents of mechanical
ventilation system [2] Thus, rethinking the design for the sustainable residential building with
natural ventilation system is critically important in order to ensure the sustainability no longer amyth. There are dozens of way to go sustainability; however, the best way to achieve sustainability
in housing design is adapting the passive architecture development concept as strategies to improve
the indoor thermal environment and reducing the dependents on mechanical cooling system [3].The
orientation of building is a significant consideration in early design process for architects. Thus, in
this paper the effects of four cardinal orientations on the thermal performance of the residential
room in single storey terrace house that attached with solar chimney were investigated.
Hot and humid climate in Malaysia considered as the most challenges climate to moderate or
handle through architecture design, due to its long hour and high intensity solar radiation throughout
day time, the heavily rains and prevailing winds caused by Monsoon seasons [4]. The terminology
of “passive architecture” can be defined as the ‘ecological building’, ‘green building’, and ‘energyefficient’ building that shield the occupants from local climate elements which form the protective
skin that create thermal comfort to occupants. Thus, from the definition of the passive architecture,
other than huge roof that could protect occupants from direct solar radiation, the orientation of the
Applied Mechanics and Materials Vol. 567 (2014) pp 631-636 Online available since 2014/Jun/06 at www.scientific.net © (2014) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/AMM.567.631
All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of TTP,www.ttp.net. (ID: 161.139.220.135, Universiti Teknologi Malaysia UTM, Johor Bahru, Johor, Malaysia-23/12/14,08:19:49)
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building façade should be one of the considerations in design. According to Zhu and Lin (2004), the
orientation is the passive strategies that should be considered by designer [5]. Other than that,
Thomas and Granham (2007) stated that building orientation is the first action and priority in the
decision making in passive building design [6]. Building orientation in tropical region should be
seriously considered since it has direct effect and interaction with solar radiation and wind direction
[6]. Givoni (1994) supports the fact that the orientation of the building would be influenced by thelocal wind directions which alleviate the effective cross ventilation [7] According to Al-Tamimi et
al. (2011), room located at east orientation has higher temperature compared to west direction
unless with window-wall ratio of 25% both rooms have the similar air temperature [4]. In a study by
Joseph (2003) stated that the north side has the lowest solar intensity from 43.6 W/m² to 65.5W/m²
while west and east sides have similar solar intensity ranged from 86.1 W/m² to 89.6 W/m² [8]. In
this study, the optimum thermal performance of the case study residential room would be studied in
order to obtain the absolute comfortable environment in air temperature and air velocity aspects.
Research Flow & Method
Figure 1: Research flow for the study initated with field measurement and the collected data to be
input as the boundary condition for CFD simulation
In this study, field measurement will be carried out at the case study house compound in
order to obtain the real time weather data for the CFD simulation. The collected data was utilized as
the boundary condition for the CFD simulation for further prediction of the model. The results of
the simulations were compared with the real time outdoor weather data as the benchmark of thermal
performance of the indoor environment.
Figure 2: Location of the case study house Figure 3: The positions of HOBO U30 Weather
station (∆) and location of the case study room (x)
Field Measurement. The field measurement was carried out in a single storey terrace house in
Kuching, Sarawak, Malaysia from 8:00am to 7:00pm of 16 May 2012. The north facing case studyhouse partitioned with two party walls with thickness 230mm and the internal partitions with
thickness 150mm are made up with single brick wall plastered on both side. The external wall with
cement and lime plaster is 200mm and the total U value for the walls is about 0.5 W/m ²K. The
X
∆
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house comprised of 3 bedrooms, a living cum dining space and a utility room. All the windows are
single clear glazed sliding windows (1.5m x 1.2m, and 0.9m above the floor) except bedroom 3
which attached to the solar chimney, which is fitted with glass panes louvers window (1.5m x 1.2m,
0.9 above the floor). The single layer clear glass pane window with U value 1.22 W/m ²K which
installed in case study room (3m x 4m with ceiling height 3m) is facing south and the solar
chimney (0.5m x 2m x 8m height) is attached on the north wall of the room. Clay tiles are selectedfor the roofing material with U value 6.16 W/m²K and no insulation material occupied for both
walls and roofs for heat transmission. In order to obtain the real time weather data, HOBO U30
weather station was set up at the case study house compound. The measured parameters included
solar radiation, wind direction, wind velocity, air temperature and relative humidity. The
measurement only carried out from 8am to 7pm since the study is focus on the effect of the solar
radiation to the solar chimney which incorporated with the orientation of room.
CFD Simulation. The field measurement weather data as shown in Table 1 was input as the
boundary condition for the CFD simulation. The CFD simulation was carried out using
DesignBuilder simulation program. The modeling info is as stated in the section 3.1 for the
construction template The activity set as domestic bedroom and the occupancy set as 0.0229. The
metabolic activity set as bedroom with factor 0.9. The HVAC template set as ‘natural ventilation-
Table 1: Field Measurement Input Data for CFD simulation
Time Air Temperature
[°C]
Humidity
[%]
Wind
Speed[m/s]
Solar
radiation[W/m²]
Wind Direction
[°]
8am 24.2 100 0 31 0
9am 25.6 97 0.03 765 160
10am 26.6 91 0 732 0
11am 31.9 79 0.09 881 120
12pm 31.8 72 0.18 992 140
1pm 32 63 0.1 1000 120
2pm 33.4 63 0.09 760 130
3pm 33.5 44.5 0 852 0
4pm 35 32.3 0 509 05pm 33.2 30 0.02 310 200
6pm 30 89 0 112 0
7pm 30 96 0 25 0
Figure 4: The position of monitoring
points in the case study room.
Monitoring
Point
X (m) Y (m) Z (m)
A 1.712 -3.65 1.3
B 1.712 -2.17 1.3
C 1.712 -0.65 1.3
D 1.712 0.44 1.3
E 1.712 0.44 4.0
F 1.712 0.44 6.5
Table 2: Coordinate of monitoring
point for modeled case study room
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no heating or cooling’ and the outside air set as 3 Ac/h. The CFD calculation used the standard K-Ԑ
epsilon turbulent model with 5000 iteration. In this study, only the case study room and solar
chimney will be modeled in order to reduce the complexity of the simulation and time consumed for
simulation. A layer of adiabatic component was modeled means no heat transfer. The simulation
used the Cartesian type-grid system with total number of cell produced is 12 numbers (x-direction)
x 22 numbers (y-direction) x 31 numbers (z-direction). The max aspect ratio is 6.614. Themonitoring points for the CFD slices are listed as in table 2 and figure 4 below. After the CFD
simulation has converged, the CFD slices were exported as csv. file in Microsoft Excel and the air
velocity and air temperature on the specific points were extracted for analysis purpose. In the
simulation, the highest value of the air temperature, which is 35°C with zero wind velocity at 4pm
of 16 May 2012 has been selected in order to find out the thermal performance of the room under
extreme climatic condition.
Designbuilder is reliable software developed by EnergyPlus, which is established by
U.S.DOE building energy simulation program for building simulation, heating and cooling, energy
analysis and so forth [9]. Validation of the software with field measurement has been recognized
and carried out by researchers as a method to verify the simulation software [10-12] DesignBuilderhas been validated by researchers and this software is considered as useful and reliable [12, 13].
Result and Discussions
Field Measurement: Outdoor Climate Condition. Daily climatic patterns in tropical climate
region require effective design strategies to achieve thermal comfort. Understanding of outdoor
climatic condition is important before carrying out simulation. The purpose to carry out the field
measurement is to obtain the real-time condition of the outdoor environment for the input of
simulation. Out of the measured data, the hottest hour was chosen to input as the boundary
condition as only the great temperature differences between indoor and outdoor will promote theventilation rate for indoor room. According to Table 1, the variance range of the air temperature is
24.2°C at 8am to 35°C at 4pm while the relative humidity range from 30% at 5pm to 100% at 8am.
35°C is the maximum air temperature of year 2012 according to Malaysia meteorological
department data. [14] The air temperature is inversely proportional to the humidity. The wind speed
in Malaysia is considered low, where most of the times are 0 m/s and the highest value recorded as
0.18 m/s at 12pm. The peak of the solar radiation value is at 12pm with 1000 W/m ² at 1pm. During
the day time the South-East wind is dominant with less diversity. However the direction of air flows
no longer significant during the evening due to radiation of the land and environment has caused the
air flow direction to divert.
CFD Simulation: Effects of Thermal Performance in Varied Orientation. From the analysis ofthe results from simulation, the air temperature at point A,B,C and D for four cardinal orientations
considered as static. This means that the temperature for the indoor environment is stable. However,
point E and F for four orientations increase drastically due to the stack effect. The heat is moving
upwards and increase. Out of four orientations, East and North facing window have the highest air
temperature for both space, which are test room (point A, B and C) and solar chimney (point D,E,
and F). The East facing window posses the highest temperature in five points (A,B,C,D and E)
compared to other orientation which ranged from 34.65°C to 42.09°C while South facing windows
posses the lowest from 31.77°C to 37.86°C. This fact is supported by Al-Tamimi (2011). [4]. Point
E and F should have higher temperature compared to A, B,C and D due to its function as solar
chimney. The discussion would taken point B as example since it is the habitable zone. With noventilation and extreme outdoor temperature, the differences for in/outdoor temperature for four
orientations were +0.74 (north), +0.36 (east), +3.21 (south) and +0.84 (west). This shows that the
south facing window is the best orientation at May 2012 since it shaded from the evening sun. For
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the air velocity stated in figure 6, the east facing window has the greatest differences from point A
to E, which is 86.11% difference. This is caused by the west facing solar chimney absorbed direct
radiation from sun and create the great temperature differences. However, air convection happens in
solar chimney and indirectly increase the room air temperature since both are connected.
In this case, the south facing window posses the ideal condition. The air flow slowly increase
in the room, started from 0.008m/s at point A up to 0.037m/s at point C. Although it is lowcompared to west facing window, with deviation -0.007m/s (point A and C) and -0.09m/s (point B),
the acceptable comfort is still complementary with the lower indoor air temperature. In Figure 7, the
temperature reduction that compared to outdoor temperature occurred at point D, E and F which is
located at solar chimney are ranged from -0.238°C for North facing window, -2.836°C for South
Facing Window, -5.242°C for West window and -7.018°C for East window. The results showing
that the solar chimney is functioning as vertical solar updraft tunnel. The air pressure created by
warm air due to the solar radiation updrafted via solar chimney and replaced by cold air in lower
room via outdoor wind from window. The higher the air temperature differences between point D,
E, F and point A, B, C, the higher the speed of air velocity updrafted via the indoor room. Figure 9
shows that the solar chimney (red colour) has higher air temperature compared to the room (green)and the countour outline showing that the air is updrafted by the solar chimney. The findings show
that the south orientation facing window are most suitable since it could reduce the heat transfer
from glazing and induce buoyancy of the air without influenced by radiation effect.
In addition, according to figure 8, the average air temperature for the outdoor is 30.6°C and
indoor is 30.078°C while the average wind velocity is 0.0425m/s and 0.0219m/s respectively.
Obviously, the outdoor air temperature and air velocity is higher than the indoor environment, with
differences of 1.71% for air temperature and 48.47% for air velocity. This shows that the solar
chimney has the ability to reduce the air temperature and maintain the indoor air speed. The diurnal
air temperature of outdoor environment fluctuated between 24.2°C to 35°C while air velocity
between 0m/s to 0.18m/s. The comparison between outdoor and indoor thermal performance is
important since the trend of air temperature and air velocity in the indoor could be compared withthe outdoor.
30
32
34
36
38
40
42
44
A B C D E F
A i r T e m p e r a t u r e [ ᴼ C ]
Monitoring Points
Air Temperature [ᴼC] of Four Cardinal Orientation
North East South West
Figure 5: Diurnal pattern of air temperaturefor case study model at 16 May 2012.
Figure 6: The diurnal pattern of air velocityfor case study model at 16 May 2012
Figure 7: The temperature reduction of indoor
air temperature compared to outdoor
environment
Figure 8: Comparison of the measured
outdoor and CFD generated indoor average
room air temperature and air velocity.
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Figure 9: The air magnitude has been
updrafted shows that stack ventilation
happened in solar chimney.
Conclusion. Appropriate selection of window
orientation could reduce the heat transmission
and thus increase the thermal comfort of
indoor environment. Among the scenarios, the
east window are always hottest compared to
window in other orientations. The southfacing window is the best orientations out of
four since it could maintain the lower air
temperature and induced steady air buoyancy
effect in the indoor environment. In order to
improve the thermal performance, the
selection of glazing with low U value and
shading device to minimize the solar radiation
should be considered. In summary, although
the air flow and air temperature do not
achieve the standard thermal comfortcondition, however, the significant
improvement could enhance the thermal
performance comparable to outdoor
temperature.
Acknowledgment. The authors would like to thank Institute Sultan Iskandar of Urban Habitat &
Highrise for the financial support and assistance from research grant
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The Effects of Orientations on the Room's Thermal Performance in the Tropics
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DOI References
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energy/ carbon affordable housing site in the UK. Energy and Buildings. 2011; 43(1): 117-25.
http://dx.doi.org/10.1016/j.enbuild.2010.08.025
[3] A.M. Abdul Rahman, N.S.A. Rahim, K. Al-Obaidi, M. Ismail, L.Y. Mui. Rethinking the Malaysian
Affordable Housing Design typology in View of Global Warming Considerations. Journal of Sustainable
Development. 2013; 6(7): 134-46.
http://dx.doi.org/10.5539/jsd.v6n7p134
[5] Y.X. Zhu, B.R. Lin. Sustainable housing and urban construction in China. Energy and Buildings. 2004;
36(12): 1287-97.
http://dx.doi.org/10.1016/j.enbuild.2003.11.007
[8] J.C. Lam, D.H.W. Li. An analysis of daylighting and solar heat for cooling-dominated office buildings.
Solar Energy. 1999; 65(4): 251-62.
http://dx.doi.org/10.1016/S0038-092X(98)00136-4
[10] M.Z.I. Bangalee, J.J. Miau, S.Y. Lin. Computational techniques and a numerical study of a
buoyancydriven ventilation system. International Journal of Heat and Mass Transfer. 2013; 65(0): 572-83.
http://dx.doi.org/10.1016/j.ijheatmasstransfer.2013.06.040
[11] G. Evola, V. Popov. Computational analysis of wind driven natural ventilation in buildings. Energy and
Buildings. 2006; 38(5): 491-501.
http://dx.doi.org/10.1016/j.enbuild.2005.08.008