Thermal Performance of Vernacular Stilt House in Palu City
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194
Figure 14. Graph of wind flow measurements at sample houses at three times (morning,
afternoon and evening)
CONCLUSION
Buildings in areas with humid tropical climates often have difficulty meeting the
standards required by Georg Lipsmeier's comfort zone. This is because the variables that
influence thermal comfort are less supportive, including air temperature, relative humidity,
solar radiation and indoor air speed.
Buildings in areas with humid tropical climate is often difficult to meet the standards
required comfort zone by Georg Lipsmeier. This is because the variables that affect thermal
comfort are less supportive, among others: air temperature tends to be warm throughout the
year, the temperature difference between day and night is very little, relative humidity is quite
high, high solar radiation, and air velocity is very low.
Efforts to achieve the desired thermal comfort need to be controlled, especially by
reducing heat gain, orienting the building facing north-south, utilizing green open space, as
well as using wood materials and bright colors in the building, arranging the ventilation system,
providing curtains on parts of the building. directly exposed to solar radiation by designing
solar shading devices to minimize radiant heat.
This stilt house has proven to be adaptive to the thermal environment of a humid tropical
climate. The results of measuring temperature and air flow in buildings using hobo loggers
show that family rooms and living rooms have the best thermal performance. This performance
is supported by several factors, including space area, size and position of openings, shape of
openings, building materials, and building orientation.
This building has local wisdom from the adaptation of vernacular architectural design
values inherited from the traditional architecture of Central Sulawesi, in the form of original
space patterns based on local culture and the use of local materials in buildings.
M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
P1
0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26
P2
0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26
P3
0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26 0, 26
P4
0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27
P5
0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27 0, 27
P6
0, 31 0, 31 0, 31 0, 31 0, 31 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 29 0, 29 0, 29
P7
0, 28 0, 28 0, 28 0, 28 0, 28 0, 28 0, 28 0, 28 0, 28 0, 28 0, 28 0, 28 0, 28 0, 28 0, 28
0,00
5,00
10,00
15,00
20,00
25,00
30,00
35,00
results of wind flow measurements at
sample houses in the morning (7 am) in July
M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
P1
0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 29 0, 30 0, 30 0, 29 0, 30 0, 30 0, 30 0, 30 0, 29
P2
0, 29 0, 29 0, 29 0, 30 0, 29 0, 29 0, 29 0, 29 0, 30 0, 30 0, 30 0, 30 0, 29 0, 30 0, 30
P3
0, 30 0, 29 0, 30 0, 29 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30
P4
0, 29 0, 29 0, 30 0, 30 0, 30 0, 30 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29
P5
0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29
P6
0, 30 0, 30 0, 29 0, 30 0, 30 0, 30 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29
P7
0, 30 0, 29 0, 30 0, 30 0, 30 0, 30 0, 30 0, 29 0, 30 0, 29 0, 30 0, 30 0, 30 0, 29 0, 30
0,000
5,000
10,000
15,000
20,000
25,000
30,000
35,000
results of wind flow measurements at sample
houses during the day (12 pm) in July
M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°M/sC°
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
P1
0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30 0, 30
P2
0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 30 0, 30 0, 30 0, 30 0, 30 0, 29 0, 29 0, 29
P3
0, 29 0, 30 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 30 0, 29 0, 29 0, 30 0, 29
P4
0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29
P5
0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29
P6
0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29
P7
0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29 0, 29
0,000
5,000
10,000
15,000
20,000
25,000
30,000
35,000
results of wind flow measurements at sample
houses in the afternoon (04.00 pm) in July