Impact of elevated outdoor MRT station towards passenger thermal comfort: A case study in Jakarta MRT

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Sugiono Sugiono
Siti Nurlaela
Andyka Kusuma
Achmad Wicaksono
Rio P. Lukodono


Keywords : elevated MRT station, thermal comfort, computational fluid dynamic, CFD, predicted mean vote, PMV, predicted percentage of dissatisfied, PPD
Abstract
Comfort of the train passengers is the main priority of modern mass rapid transit (MRT) management. Objective of this paper is to investigate the thermal comfort of the elevated MRT station in tropical climate. The first step of this study was to conduct literature review on human thermal comfort, environment ergonomics, computational fluid dynamic (CFD), computational aeroacoustics (CAA), and predicted mean vote (PMV). Air quality in elevated MRT station was measured based on several parameters: relative humidity, wind speed, temperature, and wind direction. A 3D model of MRT designed was used to describe existing condition prior to simulations with CFD and CAA softwares. Predicted mean vote is arranged based on the value of metabolism, wind speed, ambient temperature, mean radiant temperature, amount of insulation from clothing, and relative humidity. Whereas predicted percentage of dissatisfi ed (PPD) can be derived from PMV calculations. The analysis shows that the average PMV of existing condition for elevated outdoor MRT station is 3.6 (extremely hot) with PPD is 100% (all passengers felt discomfort). Some recommendations to reduce heat stress were addressed such as: adding plant, changing materials of the MRT station, and change the design of the elevated MRT station. Modifying open elevated MRT station into indoor elevated MRT station with installing six units of AC (2pk, ±23°C) can improve air quality and maintain the thermal comfort scale of PMV to be –0.04 (comfort) with PPD of < 8%. Based on the analysis, it can be concluded that the most suitable design for elevated MRT station in tropical climate (hot and humid) is indoor MRT station with pay attention to both direct and indirect heat exposure that hit the station.

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How to Cite
Sugiono, S., Nurlaela, S., Kusuma, A., Wicaksono, A., & Lukodono, R. P. (2020). Impact of elevated outdoor MRT station towards passenger thermal comfort: A case study in Jakarta MRT. Scientific Review Engineering and Environmental Sciences (SREES), 29(1), 93–107. https://doi.org/10.22630/PNIKS.2020.29.1.9
References

AREN 3050 (2005). Environmental Systems for Buildings I.

ASHRAE 55-1992R. Thermal environmental conditions for human occupancy.

ASHRAE 55-2004. Thermal environmental conditions for human occupancy.

Alajmi, A.F., Baddar, F.A. & Bourisli, R.I. (2015). Thermal comfort assessment of an office building served by under-floor air distribution (UFAD) system – a case study. Building and Environment, 85, 153-159. https://doi.org/10.1016/j.buildenv.2014.11.027

Assimakopoulos, M.N. & Katavoutas, G. (2017). Thermal comfort conditions at the platforms of the Athens Metro. Procedia Engineering, 180, 925-931. https://doi.org/10.1016/j.proeng.2017.04.252

Bean, R. (2012). Thermal comfort and indoor air quality [Online slides]. Retieved from www.healthyheating.com/Thermal-comfort-andindoor-air-quality/Thermal-comfort-and-indoor-air-quality.pdf

Boutet, S.T. (1987). Controlling air movement. New York: McGraw Hill Book Company.

Bridger, R.S. (1995). Introduction to ergonomics. Boca Raton: CRC Press. https://doi.org/10.4324/9780203426135

BS EN ISO 7730:2005. Ergonomics of the thermal environment. Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria.

Chaiyapinunt, S., Mangkornsaksit, K. & Phueakphongsuriya, B. (2004). Development of cooling load temperature differential values for building envelopes in Thailand. Journal of the Chinese Institute of Engineers, 27(5), 677-688. https://doi.org/10.1080/02533839.2004.9670915

Epstein, Y. & Moran, D.S. (2006). Thermal comfort and the heat stress indices. Industrial Health, 44, 388-398. https://doi.org/10.2486/indhealth.44.388

European Agency for Safety and Health at Work [EU-OSHA] (2012). Annual Report. Bilbao: European Agency for Safety and Health. https://doi.org/10.2802/51178

Health and Safety Executive [HSE] (2017). Workrelated stress, depression or anxiety statistics in Great Britain 2017. Bootle: Health and Safety Executive.

Höppe, P. (2002). Different aspects of assessing indoor and outdoor thermal comfort. Energy and Buildings, 34(6), 661-665. https://doi.org/10.1016/S0378-7788(02)00017-8

Humphreys, M.A. & Fergus Nicol, J. (2002). The validity of ISO-PMV for predicting comfort votes in every-day thermal environments. Energy and Buildings, 34(6), 667-684. https://doi.org/10.1016/S0378-7788(02)00018-X

ISO 7730:2005. Ergonomics of the thermal environment. Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria.

Jenkins, K., Gilbey, M., Hall, J., Glenis, V. & Kilsby, C. (2014). Implications of climate change for thermal discomfort on underground railways. Transportation Research Part D: Transport and Environment, 30, 1-9. https://doi.org/10.1016/j.trd.2014.05.002

Karyono, T. (2015). Predicting comfort temperature in Indonesia, an initial step to reduce cooling energy consumption. Buildings, 5(3), 802-813. https://doi.org/10.3390/buildings5030802

Kurazumi, Y., Tsuchikawa, T., Kondo, E., Ishii, J., Fukagawa, K., Yamato, Y., Ando, Y., Matsubara, S. & Horikoshi, T. (2012). Thermal comfort zone in outdoor environment. Journal of Human and Living Environment, 19(2), 115-127. https://doi.org/10.24538/jhesj.19.2_115

Lan, L., Wargocki, P. & Lian, Z. (2011). Quantitative measurement of productivity loss due to thermal discomfort. Energy and Buildings, 43(5), 1057-1062. https://doi.org/10.1016/j.enbuild.2010.09.001

Latha, P.K., Darshana, Y. & Venugopal, V. (2015). Role of building material in thermal comfort in tropical climates – a review. Journal of Building Engineering, 3, 104-113. https://doi.org/10.1016/j.jobe.2015.06.003

Li, Q., Yoshino, H., Mochida, A., Lei, B., Meng, Q., Zhao, L. & Lun, Y. (2009). CFD study of the thermal environment in an air-conditioned train station building. Building and Environment, 44(7), 1452-1465. https://doi.org/10.1016/j.buildenv.2008.08.010

Lippsmeier, I. (1997). Bangunan Tropis [Tropical buildings]. Jakarta: Penerbis Erlangga.

Mochida, A., Yoshino, H., Takeda, T., Kakegawa, T. & Miyauchi, S. (2005). Methods for controlling airfl ow in and around a building under cross-ventilation to improve indoor thermal comfort. Journal of Wind Engineering and Industrial Aerodynamics, 93(6), 437-449. https://doi.org/10.1016/j.jweia.2005.02.003

Parsons, K. (2014). Human thermal environments: The effects of hot, moderate, and cold environments on human health, comfort, and performance. 3rd ed. Boca Raton: CRC Press. https://doi.org/10.1201/b16750

Piasecki, M., Fedorczak-Cisak, M., Furtak, M. & Biskupski, J. (2019). Experimental confirmation of the reliability of fanger’s thermal comfort model – case study of a near-zero energy building (NZEB) offi ce building. Sustainability (Switzerland), 11(9), 2461. https://doi.org/10.3390/su11092461

Ponni, M. & Baskar, R. (2015). Comparative study of different types of roof and indoor temperatures in tropical climate. International Journal of Engineering and Technology, 7(2), 530-536.

Pourshaghaghy, A. & Omidvari, M. (2012). Examination of thermal comfort in a hospital using PMV-PPD model. Applied Ergonomics, 43(6), 1089-1095. https://doi.org/10.1016/j.apergo.2012.03.010

Purnomo, H. & Rizal (2000). Pengaruh Kelembaban,Temperatur Udara dan Beban Kerja terhadap Kondisi Faal Tubuh Manusia [Effects of humidity, air temperature and workload on the physiological condition of the human body]. Logika, 4(5), 35-47.

Maru, R. & Ahmad, S., Malaysia, B., Malaysia (2014). Daytime temperature trend analysis in the City of Jakarta, Indonesia. World Applied Sciences Journal, 32(9), 1808-1813.

Rural Chemical Industries (Aust) Pty Ltd (n.d.). Country: Indonesia temperature & relative humidity range. Retrieved form https://www.heatstress.info/Portals/38/TEMPIND(updated).pdf

Seppänen, O., Fisk, W.J. & Faulkner, D. (2005). Control of temperature for health and productivity in offices. Berkeley: Lawrence Berkeley National Laboratory.

Setaih, K., Hamza, N., Mohammed, M.A., Dudek, S. & Townshend, T. (2014). CFD modeling as a tool for assessing outdoor thermal comfort conditions in urban settings in hot arid climates. Journal of Information Technology in Construction, 19, 248-269.

Simion, M., Socaciu, L. & Unguresan, P. (2016). Factors which influence the thermal comfort inside of vehicles. Energy Procedia, 85, 472480. https://doi.org/10.1016/j.egypro.2015.

SNI 6390:2011. Konservasi energi sistem tata udara pada bangunan gedung [Energy saving in air conditioning of buildings].

Stanton, N.A., Hedge, A., Brookhuis, K., Salas, E. & Hendrick, H.W. (Eds.) (2004). Handbook of human factors and ergonomics methods. Boca Raton: CRC Press. https://doi.org/10.1201/9780203489925

Stavrakakis, G.M., Zervas, P.L., Sarimveis, H. & Markatos, N.C. (2010). Development of a computational tool to quantify architectural-design effects on thermal comfort in naturally ventilated rural houses. Building and Environment, 45(1), 65-80. https://doi.org/10.1016/j.buildenv.2009.05.006

Sugiono, S., Swara, S.E., Wijanarko, W. & Sulistyarini, D.H. (2017). Investigating the impact of ornamental plants correlated with indoor thermal comfort and eco-energy. International Review of Civil Engineering, 8(5), 221-226. https://doi.org/10.15866/irece.v8i5.12703

Uemoto, K.L., Sato, N.M.N. & John, V.M. (2010). Estimating thermal performance of cool colored paints. Energy and Buildings, 42(1), 17-22. https://doi.org/10.1016/j.enbuild.2009.07.026

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