OPTIMIZATION OF URBAN THERMAL ENVIRONMENT FOR INDONESIA COASTAL-CLIMATE URBAN AREA: A MICROCLIMATIC MODELING

https://doi.org/10.22146/teknosains.100303

Kelvin Narada Gunawan(1*), Chairil Zidane(2), M Donny Koerniawan(3)

(1) Institut Teknologi Bandung
(2) Institut Teknologi Bandung
(3) Institut Teknologi Bandung
(*) Corresponding Author

Abstract


Coastal urban areas, one of which is the PIK 2, Tangerang Regency, Indonesia, as the study case, have distinctive climate characteristics: changes in land and sea breezes during different seasons and high humidity and wind speed levels, which affect thermal comfort. The optimal building mass needs to be studied to achieve ideal thermal comfort conditions, which can effectively respond to climate characteristics different from those of other urban areas. This paper investigates the existing urban thermal environment and models the impact of building orientation, form, and H/W ratio simulated in ENVI-met. Based on the study findings, it has been determined that positioning a building diagonally towards the sea at a 45-degree angle effectively reduces excessive wind speeds, resulting in a favorable PMV score. Additionally, incorporating a sky bridge into the building form design provides adequate shading and contributes to achieving optimal thermal comfort in coastal-climate urban areas. Moreover, the optimal H/W ratio is 0.5, which can reduce wind speed without significantly lowering the temperature, thereby maintaining thermal comfort.


Keywords


Building Model; Coastal-Climate Urban Area; ENVI-met; Microclimate; Thermal Comfort

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References

Aicha, C., Moussadek, B. and Djamila, D. (2022). The Effect of Sky View Factor on the Thermic Ambiances: Case of Batna City. International Journal of Innovative Studies in Sociology and Humanities, 7(8), pp. 209–220. Available at: https://doi.org/10.20431/2456-4931.070820.

Ali-Toudert, F. and Mayer, H. (2007). Effects of asymmetry, galleries, overhanging façades and vegetation on thermal comfort in urban street canyons. Solar Energy, 81(6), pp. 742–754. Available at: https://doi.org/10.1016/j.solener.2006.10.007.

Alnimer, M., Mirzaei, P.A. and Riffat, S. (2023). Development of an integrated index to quantify thermal comfort and walkability in urban areas. E3S Web of Conferences, 396, p. 05005. Available at: https://doi.org/10.1051/e3sconf/202339605005.

Bakirci, M. And Mohammed, N. (2023). Using Cfd to Analyze Wind Velocity Around Buildings to Determine The Appropriate Wind Velocity. International Journal Of 3d Printing Technologies and Digital Industry, 7(1), Pp. 129–141. Available At: Https://Doi.Org/10.46519/Ij3dptdi.1171463.

Barnstorf, P., Brandão Alves, F. and Pimenta do Vale, C. (2023). Reflexions on an ENVI-met operation-methodology case study. U.Porto Journal of Engineering, 9(2), pp. 16–99. Available at: https://doi.org/10.24840/2183-6493_009-002_001949.

Binarti, F., Koerniawan, D., Triyadi, S., Sutrisno, S., and Matzarakis, A. (2020). A review of outdoor thermal comfort indices and neutral ranges for hot-humid regions. Jurnal Urban Climate, 31, p. 100531. Available at: https://doi.org/10.1016/j.uclim.2019.100531.

Detommaso, M., Gagliano, A. and Nocera, F. (2021). An overview of microclimate simulation tools and models for predicting outdoor thermal comfort. in Urban Heat Stress and Mitigation Solutions. London: Routledge, pp. 21–39. Available at: https://doi.org/10.1201/9781003045922-2-3.

Dyvia, H.A. and Arif, C. (2021). Analysis of thermal comfort with predicted mean vote (PMV) index using artificial neural network. IOP Conference Series: Earth and Environmental Science, 622(1), p. 012019. Available at: https://doi.org/10.1088/1755-1315/622/1/012019.

Grifoni, R.C., Passerini, G. and Pierantozzi, M. (2013). Assessment of outdoor thermal comfort and its relation to urban geometry. WIT Transactions on Ecology and the Environment, pp. 3–14. Available at: https://doi.org/10.2495/SDP130011.

Hakim, O.S. et al. (2018). The Impact Identification of Urban Heat Island in Coastal Urban Areas of Java Island. IOP Conference Series: Earth and Environmental Science, 187, p. 012057. Available at: https://doi.org/10.1088/1755-1315/187/1/012057.

Huifen, Z., Fuhua, Y. and Qian, Z. (2014). Research on the Impact of Wind Angles on the Residential Building Energy Consumption. Mathematical Problems in Engineering, 2014, pp. 1–15. Available at: https://doi.org/10.1155/2014/794650.

Kaczmarek, A. (2017). Influence of environment factors on humidity conditions of selected external wall solutions in a heated building. IOP Conference Series: Materials Science and Engineering, 245, p. 032053. Available at: https://doi.org/10.1088/1757-899X/245/3/032053.

Kang, X. and Pan, J.J. (2019). Evaluating The Spatial-Seasonal Variation, Heterogeneity and Distribution of Urban Thermal Environment: Case Study of Nanjing, China. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-3/W9, pp. 95–102. Available at: https://doi.org/10.5194/isprs-archives-XLII-3-W9-95-2019.

Kantamaneni, K., Li, Q., Wu, H., Zhu, M., Apostolopoulou, A., Xu, W., Kenawy, I., Rajendran, L.P., Rice, L., Jimenez-Bescos, C., Panner, S., and Pushparaj, R.R.B. (2023). Towards a Combined Physical and Social Evaluation of Climate Vulnerability in Coastal Urban Megacitie., Water, 15(4), p. 712. Available at: https://doi.org/10.3390/w15040712.

Khraiwesh, M.M. and Genovese, P.V. (2023). Outdoor Thermal Comfort Integrated with Energy Consumption for Urban Block Design Optimization: A Study of the Hot-Summer Mediterranean City of Irbid, Jordan. Sustainability, 15(10), p. 8412. Available at: https://doi.org/10.3390/su15108412.

Klemm, K. (2022). Wind aspects in built environment. Budownictwo i Architektura, 21(3), pp. 019–034. Available at: https://doi.org/10.35784/bud-arch.2886.

Leetongin, P., Inprom, N., srivanit, M., and Jareemit, D. (2022). The Effects of Design Combinations of Surface Materials and Plants on Outdoor Thermal Conditions during Summer around a Single-Detached House: a Numerical Analysis. Nakhara: Journal of Environmental Design and Planning, 21(3), p. 218. Available at: https://doi.org/10.54028/NJ202221218.

Li, L., Yang, X. and Qian, Y. (2018). CFD Simulation Analysis of the Influence of Floor Area Ratio on the Wind Environment in Residential Districts. Journal of Engineering Science and Technology Review, 11(5), pp. 185–192. Available at: https://doi.org/10.25103/jestr.115.24.

Liu, F., Zhang, X., Murayama, Y., and Morimoto, T. (2020). Impacts of Land Cover/Use on the Urban Thermal Environment: A Comparative Study of 10 Megacities in China. Remote Sensing, 12(2), p. 307. Available at: https://doi.org/10.3390/rs12020307.

Mamani, T., Herrera, R.F., Muñoz-La Rivera, F., and Atencio, E. (2022). Variables That Affect Thermal Comfort and Its Measuring Instruments: A Systematic Review. Sustainability, 14(3), p. 1773. Available at: https://doi.org/10.3390/su14031773.

Priyadarsini, R., Hien, W.N. and Wai David, C.K. (2008). Microclimatic modeling of the urban thermal environment of Singapore to mitigate urban heat island. Solar Energy, 82(8), pp. 727–745. Available at: https://doi.org/10.1016/j.solener.2008.02.008.

Srivastava, V., Sharma, A. and Jadon, S.S. (2023). Microclimate analysis of high-density urban residential open enclosures: A case of Thane, India. Environment Conservation Journal, 24(2), pp. 434–447. Available at: https://doi.org/10.36953/ECJ.14092419.

Sugiono, S. (2016). INNOVATION OF BUILDING DESIGN BASED ON PREDICTED MEAN VOTE (PMV) INDEX FOR INCREASING HUMAN COMFORT. DIMENSI (Journal of Architecture and Built Environment), 43(1). Available at: https://doi.org/10.9744/dimensi.43.1.1-8.

Tsoka, S., Tsikaloudaki, A. and Theodosiou, T. (2018). Analyzing the ENVI-met microclimate model’s performance and assessing cool materials and urban vegetation applications–A review. Sustainable Cities and Society, 43, pp. 55–76. Available at: https://doi.org/10.1016/j.scs.2018.08.009.

Wang, S., Xiang, M., He, Y., Tsou, J., Zhang, Y., Liang, X. S., and Lu, X. (2018). Evaluating Urban Heat Island Effects in Rapidly Developing Coastal Cities. Coastal Environment, Disaster, and Infrastructure - A Case Study of China’s Coastline. InTech. Available at: https://doi.org/10.5772/intechopen.80020.

Yang, Y., Zhang, X., Lu, X., Hu, J., Pan, X., Zhu, Q., and Su, W. (2017). Effects of Building Design Elements on Residential Thermal Environment. Sustainability, 10(2), p. 57. Available at: https://doi.org/10.3390/su10010057.

Yi, P., Liu, L., Huang, Y., Zhang, M., Liu, H., and Bedra, K.B. (2023). Study on the Coupling Relationship between Thermal Comfort and Urban Center Spatial Morphology in Summer. Sustainability, 15(6), p. 5084. Available at: https://doi.org/10.3390/su15065084.

Zaki, S.A., Shuhaimi, S.S., Mohammad, A.F., Ali, M.S.M., Jamaludin, K.R., and Ahmad, M.I. (2022). Development of a Prediction Model of the Pedestrian Mean Velocity Based on LES of Random Building Arrays. Buildings, 12(9), p. 1362. Available at: https://doi.org/10.3390/buildings12091362.



DOI: https://doi.org/10.22146/teknosains.100303

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