The 20 Impact of Urban Block Typology on Microclimate ...

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Impact of Urban Block Typology on Microclimate Performance in Hot-Humid High-Density City Ivan Danny Dwiputra 1 , Woerjantari Kartidjo. 1 , Haryo Winarso 1 1 Institut Teknologi Bandung [email protected] Urban Retrofitting: Building, Cities and Communities in The Disruptive Era The 20 th International Conference on Sustainable Environment & Architecture Supported By: Organized By: Presenter Affiliation:

Transcript of The 20 Impact of Urban Block Typology on Microclimate ...

Impact of Urban Block Typology on Microclimate

Performance in Hot-Humid High-Density City

Ivan Danny Dwiputra1, Woerjantari Kartidjo.1, Haryo Winarso1

1 Institut Teknologi Bandung

[email protected]

Urban Retrofitting: Building, Cities and Communities

in The Disruptive Era

The 20th

International Conference on

Sustainable

Environment

& Architecture

Supported By:Organized By:Presenter Affiliation:

INTRODUCTION

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Changes In Urban Structure

AirTemperature

RelativeHumidity

WindSpeed

SolarRadiation

Variety of Climate Parameter Values

Increasing Intensity

• Floor Area Ration (FAR)• Building Coverage Ratio (BCR)

LITERATURE REVIEW

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MicroclimateIn general, the microclimate of an area can be defined as the interaction between several meteorological elementsin an urban area, which is solar radiation, air temperature, relative humidity, and wind speed [4] .

Climate ProfileThe hot humid tropical climate has the main characteristics, namely high humidity up to 80%, relatively high airtemperature up to 35 °C, relatively low wind speeds between 0.5 - 1.5 m/s with dominant East and West winddirections [7].

Intensity and Urban Block

Urban structures are influenced by building intensity settings. With the same building floor area or intensityvalues, buildings with various block typologies and different building mass figures can be realized [10].

METHODS

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Study Approach

•Quantitative with the synoptic method through a case study approach.

Type of Data

• Local Climate

•Ta, Rh, V, Rad.

Data Collection

•Observation

•Proxy Weather

Data Analysis

•Distribution

•Regression

•Descriptive Making

Data Validation

• Linear regression from R2

Scenario Intensity Configuration

BCR FAR Podium Tower Courtyard

Existing 74.56% 2.2 ● ●

1 70% 5.6 ● ●

2 <40% 5.6 ●

3 70% 5.6 ● ●

4 70% 5.6 ●

5 70% 5.6 ● ●

Approach

Block Scenario

Computer Simulation by

Figure 1. (1) Study Approach; (2) Block Typhology Simulation Scenario

BCR And FAR Correlations On Microclimate Parameters

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BCR has a negative correlation with Relative Humidity

FAR has a significant correlation with Air

Temperature, as well as Rh and Solar Radiation.

Ta RH V Rad.

BCR 0.3159 0.4318 0.3947 4E-06

FAR 0.9186 0.6034 0.2002 0.6711

Correlation Matrix R2

Figure 2. Correlation of Intensity and Microclimate Parameters

Block Configuration Effect on

Microclimate Parameters

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33.87

26.19

30.42

33.24

26.29

30.10

33.24

26.21

29.98

33.13

26.44

30.09

32.96

26.38

30.04

33.16

26.71

30.18

26.00

27.00

28.00

29.00

30.00

31.00

32.00

33.00

34.00

MAX MIN AVG

TA.°

C

Existing Typology Typology 1 - Podium Tower Typology 2 - Tower

Typology 3 - Tower + Innercourt Typology 4 - Courtyard Typology 5 - Tower Slab + Innercourt

68.36

40.61

53.21

67.82

42.37

54.29

68.24

41.92

54.69

67.07

42.60

54.17

67.25

43.26

54.40

66.03

42.34

53.66

40.00

45.00

50.00

55.00

60.00

65.00

70.00

MAX MIN AVG

RH

%

Existing Typology Typology 1 - Podium Tower Typology 2 - Tower

Typology 3 - Tower + Innercourt Typology 4 - Courtyard Typology 5 - Tower Slab + Innercourt

0.69

0.60

0.66

0.58

0.500.54

0.79

0.670.73

0.53

0.450.49

0.450.39 0.42

0.55

0.470.51

0.300.350.400.450.500.550.600.650.700.750.800.85

MAX MIN AVG

M/S

Existing Typology Typology 1 - Podium Tower Typology 2 - Tower

Typology 3 - Tower + Innercourt Typology 4 - Courtyard Typology 5 - Tower Slab + Innercourt

884.59

186.21

282.39

876.04

135.65

255.41

908.82

141.81

250.73

876.94

82.99

226.34

879.31

98.74

227.39

889.61

63.73

227.38

0.00

100.00

200.00

300.00

400.00

500.00

600.00

700.00

800.00

900.00

1000.00

MAX MIN AVG

W/M

2

Existing Typology Typology 1 - Podium Tower Typology 2 - Tower

Typology 3 - Tower + Innercourt Typology 4 - Courtyard Typology 5 - Tower Slab + Innercourt

• Air Temperature

• Wind Speed

• Relative Humidity

• Solar Radiation

CONCLUSIONS

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• This study found that BCR value has a correlation with relative humidity and wind speed. If the BCR value is increased, it will reduce the relative humidity and lower wind speed. The FAR value has a correlation with air temperature, relative humidity, and solar radiation.

• If the FAR value is increased, the relative humidity increases significantly and the air temperature and solar radiation decrease. The FAR value has a more significant correlation than the BCR value in the influence of the characters on microclimate parameters.

• As for the block typology, BCR affects more horizontal surfaces and FAR affects more vertical. Typology block 3 has the most optimum microclimate parameter performance with a hybrid block configuration consisting of a podium, tower, and courtyard. A closed courtyard configuration has the effect of lower air temperature, solar radiation, and wind speed than an open courtyard, but has higher relative humidity and wind speed. The tower has an effect on the wind speed around the building and creates a down dash effect towards the ground level of the tall building.

REFERENCES

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1. Erell, E., Pearlmutter, D., & Williamson, T., Urban microclimate: designing the spaces between buildings. Routledge, 2012.2. Oke, T. R. (1988). “Street design and urban canopy layer climate,” Energy and Buildings, 11(1-3), pp 103–113.3. Utomo, Dwiyono Hari, “Meteorologi Klimatologi Dalam Studi Geografi. Malang,” ; UM Press, 2009.4. Koch-nielsen, H., Stay Cool : A Design Guide For The Built Environment in Hot Climate. London: Earthscan, 2002.5. Liu, W., Zhang, Y., & Deng, Q., “The effects of urban microclimate on outdoor thermal sensation and neutral temperature in hot-summer and cold-winter climate,”

Energy and Buildings, 128, pp. 190-197, 2016.6. Adiningsih, E.S., D. Widyasari, dan I. Santosa, “Studi Pulau Panas di Jakarta dan sekitamya dengan menggunakan data satelit,” Majalah LAPAN No. 68: pp. 18-37,

1994.7. Karyono, Tri Harsono, Arsitektur Tropis – Bentuk, Teknologi, Kenyamanan dan Penggunaan Energi. Jakarta: Erlangga, 2016.8. Fanger, P.O., Thermal Comfort: Analysis and Applications in Environmental Engineering, Danish Technical Press, New York. 1970.9. Raish, J., Thermal comfort: Designing for people. Lang, W., McClain, A., Eds., 2003.10. Zhang, Ji, et al. "Impact Of Urban Block Typology On Building Solar Potential And Energy Use Efficiency In Tropical High-Density City." Applied Energy, 240, pp.

513-533, 2019.11. Koerniawan, M. D., Thermal Comfort and Walkability In Open Spaces of Mega Kuningan Superblock in Jakarta. Research Gate, 2014. p. DOI:

10.13140/2.1.4388.5766.12. Janesonia, K. I., “Study Of Framing Design Principles from Thermal Comfort Aspects In Tropical Humid Climate. Case Study : Highrise Building, Midrise Building

And Lowrise Building Area Type In Surabaya,” Master’s Thesis, Institut Teknologi Bandung, 2018.13. Moonen, P., Defraeye, T., Dorer, V., Blocken, B., & Carmeliet, J., “Urban Physics: Effect of the micro-climate on comfort, health and energy demand.” Frontiers of

Architectural Research, 1(3), pp. 197-228, 2012.14. T. R. Oke, Boundary layer climates. London: New York: Methuen; Wiley, 1978.15. Iek, Y., & Moniaga, I., “Kepadatan Bangunan Dan Karakteristik Iklim Mikro Kecamatan Wenang Kota Manado.” Sabua, 6(3), pp. 285-292. 2014.16. Ghaffarianhoseini, A., Berardi, U., & Ghaffarianhoseini, A., “Thermal performance characteristics of unshaded courtyards in hot and humid climates.” Building and

Environment, 87, pp. 154-168, 2015.17. Paramita, B., Fukuda., H., “Assessment of Flat In Bandung, Indonesia: An Approach To Outdoor Thermal Comfort At Hot-Humid Tropical Climate.” ;BauSIM, 2014.18. Arkon, C. A., & Özkol, Ü., “Effect of urban geometry on pedestrian-level wind velocity.” Architectural Science Review, 57(1), pp. 4-19, 2014.

Thank You

The 20th International Conference on

Sustainable Environment & Architecture

Supported By:Organized By:Presenter Affiliation: